Online Technical Paper Presentation Schedule
Day 1 (9:00 AM - 12:30 PM), 05 April 2025 (Slot 1)
ONLINE - Technical Sessions 1-13
| Technical Session | Paper ID | Paper Title | Presenter | Track Name |
|---|---|---|---|---|
| Technical Session-1 | 13 | CNN-Based Nerve Block Segmentation | Ravi Teja Gundimeda | Main Track: ICCSAI 2025 |
| Technical Session-1 | 24 | Design and Implementation of Carry Look-Ahead Adder using PTL with Comparative Analysis Against Transmission Gate Logic | Chezhiyan M | Main Track: ICCSAI 2025 |
| Technical Session-1 | 27 | Evolving Tactics in Social Engineering Attacks in the Current Era: A Multi-Platform Honeypot Approach for Awareness and Defense | Klk Charith | Main Track: ICCSAI 2025 |
| Technical Session-1 | 52 | Classification of Gene Expression Data Using Ensemble Learning with Effective Feature Selection and Optimization Techniques | Sivaprakash Sriram | Main Track: ICCSAI 2025 |
| Technical Session-1 | 58 | Comparative Analysis of Neural Network-Based Models for Sentiment Analysis on Twitter Data | Arvind Mewada | Main Track: ICCSAI 2025 |
| Technical Session-1 | 86 | IOT BASED VEHICLE ACCIDENT PREVENTION AND DETECTION SYSTEM USING MOBILE APPLICATION | Madhan S | Main Track: ICCSAI 2025 |
| Technical Session-1 | 95 | Integrating Artificial Intelligence with Virtual Reality and Augmented Reality for Enhanced Military Training and Simulations | Amanpreet Kaur | Main Track: ICCSAI 2025 |
| Technical Session-1 | 120 | SMART WASTE MANAGEMENT WITH AI POWERED CLASSIFICATION AND ROUTING: THE THINK ZERO WASTE APP (TZE APP) | Brindha A | Main Track: ICCSAI 2025 |
| Technical Session-1 | 126 | Exploring the Synergy and Challenges of Blockchain Technology in the Quantum Cryptography Era A Comprehensive Review | Ayush Giri | Main Track: ICCSAI 2025 |
| Technical Session-1 | 143 | Energy Management Strategies for Optimal Performance of ESS Supported Fuel Cell-Hybrid Electric Vehicles | Billa Pardhasaradhi | Main Track: ICCSAI 2025 |
| Technical Session-2 | 149 | Brain MRI Classification Using Deep Learning Algorithm | Chitra Thinger | Main Track: ICCSAI 2025 |
| Technical Session-2 | 162 | QUANTUM TRANSFER LEARNING FOR BREAST CANCER DETECTION | Alok Kumar Srivastava | Main Track: ICCSAI 2025 |
| Technical Session-2 | 163 | A Hybrid Classical-Quantum Model for Enhanced MRI-Based Brain Tumor Classification Using Transfer Learning and Quantum Neural Networks | Alok Kumar Sri | Main Track: ICCSAI 2025 |
| Technical Session-2 | 176 | Metric-Scale 3D Scene Reconstruction Using Dual Images from a Calibrated Camera | Mukesh Kumar Verma | Main Track: ICCSAI 2025 |
| Technical Session-2 | 210 | Assistive Vision: Intelligent Blind Stick | Hithesh Guptha V | Main Track: ICCSAI 2025 |
| Technical Session-2 | 215 | Heart Attack Risk Prediction Using Retinal Fundus Images and CNN Based Deep Neural Network | Shubhi Chandra | Main Track: ICCSAI 2025 |
| Technical Session-2 | 228 | Blockchain Enabled Approach for Secure and Transparent Courier Tracking | Raj Kumar | Main Track: ICCSAI 2025 |
| Technical Session-2 | 289 | Detecting Wildfire hazards using Convolutional Neural Networks | Manthena Sivanuja | Main Track: ICCSAI 2025 |
| Technical Session-2 | 291 | Hybrid Deep Learning with Multi-Level Context for Pain Assessment Using Physiological Signals | Vatsavai Harini | Main Track: ICCSAI 2025 |
| Technical Session-2 | 292 | Predicting Public Sector Energy Efficiency with Cloud Data Centre using a Consolidation of Machine Learning | Tiyas Sarkar | Main Track: ICCSAI 2025 |
| Technical Session-3 | 301 | Implementing a resilient and pairing-free aggregate signature scheme for healthcare internet of things networks | M.Selvam | Main Track: ICCSAI 2025 |
| Technical Session-3 | 302 | Advanced Health Care Monitoring in IoMT Systems through Integrated CNN and LSTM | Mr J Sulthan Alikhan | Main Track: ICCSAI 2025 |
| Technical Session-3 | 303 | Utilising Machine Learning Techniques to Evaluate the Survival Probability of Head and Neck Cancer Patients Based on Their Smoking Habits and Medical History | Pratibha C. Kaladeep Yalagi | Main Track: ICCSAI 2025 |
| Technical Session-3 | 305 | Cooperative Intelligence Constructing an Internet of Things for Diverse Discourse | Arun Kumar Arigela | Main Track: ICCSAI 2025 |
| Technical Session-3 | 306 | Enhanced Scheduling Adaptability in Internet of Things (IoT) Networks via Collaborative Policy Learning and Federated Reinforcement Models | Dr R Jayanthi | Main Track: ICCSAI 2025 |
| Technical Session-3 | 317 | High-Speed and Energy Efficient Universal Shift Register using Novel Hybrid CNTFET-MOSFET D Flip-Flops for Modern VLSI Systems | Bejish S | Main Track: ICCSAI 2025 |
| Technical Session-3 | 323 | A Blockchain-based IoMT Framework using cloud computing: A Comprehensive Review | Vidya Srivastava | Main Track: ICCSAI 2025 |
| Technical Session-3 | 329 | Deep Learning Applications in Natural Language Processing for Sentiment Analysis: Unlocking Consumer Behavior Trends | Ms. Aakansha Soy | Main Track: ICCSAI 2025 |
| Technical Session-3 | 330 | Deep Learning for Image and Video Processing in Surveillance Systems: Advancing Security with AI-Driven Insights | I. Sudha | Main Track: ICCSAI 2025 |
| Technical Session-3 | 331 | Deep Learning in Autonomous Vehicles for Dynamic Decision-Making: Enhancing Safety and Navigation | Ashu Nayak | Main Track: ICCSAI 2025 |
| Technical Session-3 | 332 | Predictive Maintenance in Industries Using Deep Learning Models: Reducing Downtime and Increasing Efficiency | Thinakaran K | Main Track: ICCSAI 2025 |
| Technical Session-3 | 333 | Improving Disease Diagnosis through Medical Data Mining and Predictive Analysis: Towards Data-Driven Healthcare | Thinakaran K | Main Track: ICCSAI 2025 |
| Technical Session-3 | 334 | Dynamic Resource Management in IoT Ecosystems Using Reinforcement Learning: Towards Scalable and Efficient Solutions | F Rahman | Main Track: ICCSAI 2025 |
| Technical Session-3 | 335 | Energy-Efficient IoT Systems for Smart Cities: Powering the Urban Transformation | P.S.Ramesh | Main Track: ICCSAI 2025 |
| Technical Session-4 | 336 | Geospatial Data Mining for Disaster Management: Enhancing Emergency Response Capabilities | A.Ponmalar | Main Track: ICCSAI 2025 |
| Technical Session-4 | 337 | Leveraging IoT for Environmental Monitoring: Real-Time Data Collection and Analysis for Sustainable Development | Sudha Narang | Main Track: ICCSAI 2025 |
| Technical Session-4 | 338 | Secure Data Transmission in IoT Networks Using Blockchain and Lightweight Cryptography: Safeguarding the Connected Future | V.Naveen | Main Track: ICCSAI 2025 |
| Technical Session-4 | 339 | Deep Learning Advancement for Brain-Tumor Classification and Comprehensive Diagnosis | Bedamsetty Visali | Main Track: ICCSAI 2025 |
| Technical Session-4 | 340 | Detection and Classification Approach of Denial of Service Attack in SDN | Pooja Chaturvedi | Main Track: ICCSAI 2025 |
| Technical Session-4 | 355 | Analysis of the Connectivity Protocols to the Internet of Things and Impacts on Precision Agriculture Practiced in Open Spaces | Pamulapati Lakshmi Satya | Main Track: ICCSAI 2025 |
| Technical Session-4 | 356 | CAC Training - A Unified Cybersecurity Training Program for Military Staff | Nookala Venu | Main Track: ICCSAI 2025 |
| Technical Session-4 | 362 | Assessing the Importance and Pertinence of Cybersecurity Content via Textual Similarity and a Cybersecurity Knowledge Graph | Vivekanandan.Research @Gmail.Com | Main Track: ICCSAI 2025 |
| Technical Session-5 | 363 | Optimizing the Placement of Virtual Network Functions for Energy Efficiency in a Wireless Mesh Network | Nookala Venu | Main Track: ICCSAI 2025 |
| Technical Session-5 | 404 | CROP YEILD PREDICTION FOR SMART FARMING | Vansh Gupta , Sourabh , Veer Pratap, Ajay Kumar | Main Track: ICCSAI 2025 |
| Technical Session-5 | 420 | NeuroPark Guide: Cutting-Edge AI for Parking Solutions | Anil Baikani | Main Track: ICCSAI 2025 |
| Technical Session-5 | 501 | AI-Powered Segmentation of Tumors in Multi-Modal Medical Images" has been peer-reviewed and accepted for consideration at "2025 3rd International Conference on Communication, Security, and Artificial Intelligence | Nilkanth Mukund Deshpande | Main Track: ICCSAI 2025 |
| Technical Session-5 | 502 | Deep Learning-Based Object Detection Across Multiple Visual Domains | Nilkanth Mukund Deshpande | Main Track: ICCSAI 2025 |
| Technical Session-5 | 507 | Evaluating Sentiment Classification Techniques for Analyzing COVID-19 Vaccination Opinions on Twitter data | Ashutosh Mishra | Main Track: ICCSAI 2025 |
| Technical Session-5 | 525 | Adaptive Network Security Using Machine Learning for Real-Time Threat Detection | S.B.Prakalya | Main Track: ICCSAI 2025 |
| Technical Session-5 | 526 | Association Rule Mining for Optimizing Inventory Management in Retail: Improving Stock Control and Reducing Costs Using ML Model | Swathi Agarwal | Main Track: ICCSAI 2025 |
| Technical Session-6 | 527 | Data Mining Techniques for Customer Segmentation in E-Commerce Platforms: Unlocking the Power of Personalization | B. Lakshma Reddy | Main Track: ICCSAI 2025 |
| Technical Session-6 | 528 | Developing Self-Healing Networks with Bio-Inspired Algorithms: Enhancing Resilience in Modern Networks | Thinakaran K | Main Track: ICCSAI 2025 |
| Technical Session-6 | 529 | Dynamic Load Balancing in Cloud Networks Using Multi-Agent Systems: Ensuring High Availability and Efficiency | K. Krishnakumar | Main Track: ICCSAI 2025 |
| Technical Session-6 | 530 | Hybrid Routing Protocols for Efficient Data Transfer in Wireless Networks | K. Krishnakumar | Main Track: ICCSAI 2025 |
| Technical Session-6 | 545 | Design of Smart System for Mitigating Wild Animal Intrusion in Agricultural farms using IoT and Deep Learning | A. Prasanth | Main Track: ICCSAI 2025 |
| Technical Session-6 | 577 | AI-Driven Crop Disease Diagnosis for Sustainable Agriculture Using Convolutional Neural Networks | B.J. Job Karuna Sagar | Main Track: ICCSAI 2025 |
| Technical Session-6 | 579 | Implementing Zero Trust Architecture for Securing Financial Transactions in Banking Apps Using Homomorphic Encryption and Advanced Access Control Algorithms | R. Pradeep | Main Track: ICCSAI 2025 |
| Technical Session-6 | 580 | Personalized Learning Systems Using AI for Adaptive Educational Content Delivery Based on Reinforcement Learning Algorithms | B. Lakshma Reddy | Main Track: ICCSAI 2025 |
| Technical Session-6 | 581 | Adaptive Quantum Computing Algorithms for Real-Time Data Processing in High-Dimensional Systems | D. Suganthi | Main Track: ICCSAI 2025 |
| Technical Session-6 | 582 | Predictive Maintenance in Smart Factories Using IoT and Big Data Analytics Enhanced by Long Short-Term Memory Networks | Sathiyamurthi K | Main Track: ICCSAI 2025 |
| Technical Session-7 | 584 | Deep Learning-Based Drug Discovery and Molecular Analysis Accelerating the Future of Medicine | P. Nagarajan | Main Track: ICCSAI 2025 |
| Technical Session-7 | 590 | Revolutionizing Human-Computer Interaction with Deep Learning for Speech Recognition and Voice Assistants | Nidhi Mishra | Main Track: ICCSAI 2025 |
| Technical Session-7 | 593 | Improving Urban Traffic Management with Big Data-Driven Forecasting Models Using ARIMA and Prophet Algorithms | Priya Vij | Main Track: ICCSAI 2025 |
| Technical Session-7 | 790 | Deep Model Exposure and Classification of Diabetic Retinopathy Using Fundus Imaging | Ankur Kaushik | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1056 | Integrated Deep Learning Framework for Precision Crop Yield Prediction Using Satellite Imagery and Real-Time Environmental Data | Kadaveru Bhavana | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1186 | Real-Time Human Intrusion Detection in Wireless Sensor Networks Using YOLOv7 for Enhanced Perimeter Security | Thinakaran K | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1431 | HBSP: A Lightweight Framework for Transparent Software Protection Using Hardware Virtualization | Niketa Penumajji | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1513 | A Smarter Way to Filter Reviews and Identify Fake Reviews using Random Forest for an Improved Online Shopping Experience | Bharath Kumar L | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1514 | Enhanced Security with Deep Learning-Based Intrusion Detection | Bharath Kumar L | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1651 | CHAOS THEORY-DRIVEN IMAGE ENCRYPTION IN IoT ECOSYSTEMS | Rompilli Bhanuprakash | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1675 | Enhancing Cybersecurity Risk Assessment with Text Mining of Security Bulletins and Advisory Data | Suresh Kumar. S | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1679 | Semantic Interoperability Framework for Multi-Center Healthcare Big Data Using Conceptual Modeling and SPARQL-Based Analysis | Rohith Bhat | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1693 | Generating Music with Retention based Latent Transformer Models | Viswanathan V | Main Track: ICCSAI 2025 |
| Technical Session-7 | 1730 | Fusion of Cloud and Internet of Things towards sustainable Healthcare | Arghya Pratim Ghosh | Main Track: ICCSAI 2025 |
| Technical Session-8 | 1744 | Ego Vehicle Localization with GPS-IMU Fusion: A Key to Effective Scenario Generation | Mukesh Kumar Verma | Main Track: ICCSAI 2025 |
| Technical Session-8 | 1751 | Integrated Surveillance System for Real-Time Face Recognition and Image-Based Video Retrieval Using OpenCV and DeepFace | Palivela Thanishka | Main Track: ICCSAI 2025 |
| Technical Session-8 | 1842 | VITAMIN DEFICIENCY DETECTION USING CNN-BASED IMAGE ANALYSIS OF SKIN, TONGUE AND NAILS | Kishore Kumar G | Main Track: ICCSAI 2025 |
| Technical Session-8 | 1892 | Real Time Hand Gesture Detection and Recognition to Control PowerPoint Slides | Sumita Gupta | Main Track: ICCSAI 2025 |
| Technical Session-8 | 1896 | Optimized PCA-ABE with Compression for Efficiency in Edge Computing | Sneha Arora | Main Track: ICCSAI 2025 |
| Technical Session-8 | 1916 | Virtual Mouse Using Machine Learning | Krishnamoorthi T;Aakash K | Main Track: ICCSAI 2025 |
| Technical Session-8 | 1987 | The Impact of Neuromorphic Computing on Brain-Inspired Robotics: A Novel Architectural Paradigm | Sumanshu Jindal | Main Track: ICCSAI 2025 |
| Technical Session-8 | 2053 | Enhanced Link Prediction Using Integrated Classifier | Rahul Jaggi | Main Track: ICCSAI 2025 |
| Technical Session-9 | 2057 | A Small Pentagonal Patch MIMO Antenna for 5G and WLAN Devices | Ashish Phalswal | Main Track: ICCSAI 2025 |
| Technical Session-9 | 2069 | Fake Indian Currency Detection using Computer Vision | Lovely | Main Track: ICCSAI 2025 |
| Technical Session-9 | 2071 | Enhanced Deep Learning Approach for Potato Leaf Disease Detection | Sweta Kumari | Main Track: ICCSAI 2025 |
| Technical Session-9 | 2121 | Automated Trading Decisions | Harsh Srivastava | Main Track: ICCSAI 2025 |
| Technical Session-9 | 2242 | GhostNet Model Based Brain Tumor Classification Using MRI Images | Vishakha Yadav | Main Track: ICCSAI 2025 |
| Technical Session-9 | 1945 | Helmet Verify: AI Detection System for Safety Check | Pratham Sherawat | Main Track: ICCSAI 2025 |
| Technical Session-9 | 2006 | Short-Term Weather Forecasting | Pratyush Gupta | Main Track: ICCSAI 2025 |
| Technical Session-9 | 43 | Integration of IoT & Blockchain using AI for Optimizing Multi-Echelon Inventory System | Tanmay Sharma | Main Track: ICCSAI 2025 |
| Technical Session-10 | 1584 | Brain Tumor Detection Using U-Net: A Deep Learning Approach | Pratishtha Verma | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-10 | 1617 | AI-BASED COW DETECTION AND TRACKING TO MONITOR REAL-LIFE LIVESTOCK FARMING | Pratishtha Verma | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-10 | 1659 | Optimizing Dataset Management with Blockchain Based Cryptographic Hashing and Proof-of-Work | Kartikey Jaiswal | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-10 | 1694 | AgroBuddy: Empowering Indian Farmers Through Precision Farming Chatbot | Rayaan Sheikh | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-10 | 1798 | Early Stage Prediction of Type 2 Diabetes Mellitus using Prominent Genemarkers | Adithya N Reddy | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-10 | 2007 | XceptionSELite: Lightweight and Efficient Network for Traffic Sign Recognition | S. Deivanayaki | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-10 | 2045 | Change Detection for Land-Cover Classification Using Deep Learning | Bishal Choudhury | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-10 | 2060 | GAS FEES OPTIMIZATION | SHASHWAT SHUKLA | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-10 | 2134 | Attention-Driven CNN-LSTM Hybrid Models for Secure Dynamic Signature Verification | Ms. Atiya Rafiq Kazi | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-10 | 2219 | Comprehensive Study on Integrating AI-Powered Threat Intelligence Using Large Language Models | Nishith P | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-11 | 2231 | Harnessing the Power of Machine Learning in Multi-Agent Systems for B2C E-Commerce Optimization | Manoj Kumar Mishra | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-11 | 2235 | Real-Time Monitoring and Ambulance Prioritization Using YOLOv9 and Deep Learning | Gokul D | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-11 | 1588 | Exploring the Implementation of Artificial Intelligence in the Indian Legal System | Munish Kumar | Track 15:Revolutionizing Connectivity: The Power of IIoT, IoT, and IMOT for a Sustainable Future |
| Technical Session-11 | 1637 | Driver Drowsiness Detection System Using Computer Vision | Aniket Dogra | Track 15:Revolutionizing Connectivity: The Power of IIoT, IoT, and IMOT for a Sustainable Future |
| Technical Session-11 | 1830 | Analysis of Efficient Task Scheduling Algorithms in Fog Computing Environment | Prince Gupta | Track 15:Revolutionizing Connectivity: The Power of IIoT, IoT, and IMOT for a Sustainable Future |
| Technical Session-11 | 1974 | ECO DYNAMIC DYGESTER: A PIONEERING APPROACH TO GENERATE CLEAN ENERGY FROM ORGANIC FOOD WASTE | Chanapathi Yamini | Track 16:Emerging Electrical and Electronic Technologies for Innovations, and Energy and Environmental Sustainability |
| Technical Session-11 | 2064 | Energy-Efficient Approximate Compressor Design for Image Processing Applications | Aluvoju Vivek | Track 16:Emerging Electrical and Electronic Technologies for Innovations, and Energy and Environmental Sustainability |
| Technical Session-11 | 78 | IOT-Enabled Smart Home Automation with YOLOv5 Human Detection | Raman Sharma | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-11 | 110 | MRI-Based Brain Tumor Classification Using Transfer Learning | Soham Misal | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-11 | 142 | Deep Learning Approaches for viral Infectious Disease Detection from Chest X-rays image dataset. | Juli Kumari | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-11 | 183 | A Machine Learning Approach to Early Detection and Classification of Kidney Disease | Ashwani Kumar | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-11 | 249 | LYNX-RNA: A Scalable Nextflow Workflow for RNA-Seq Analysis with Integrated Large Language Models for comprehensive Result Interpretation | Devanshi Sharma | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-11 | 262 | Evaluating Multi-Layer Perceptron and Recurrent Neural Networks for Speech Emotion Recognition | Satyam Solanki | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-11 | 313 | Dynamic Traffic Optimization through Cloud Enabled Big Data Analytics and Machine Learning for Enhanced Urban Mobility | Ettedi Anvesh | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-12 | 405 | A Comparative Study of Deep Learning and Fuzzy Logic in the Diagnosis of Ovarian Cancer | Parul Parihar | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-12 | 494 | Optimizing Hybrid Learning Outcomes via Clustering-Guided Data Mining Techniques in Higher Education | Brijesh Kumar Verma | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-12 | 496 | A Comparative Study on Denoising of MRI Images and Classification of Brain Tumor Images Using Deep Learning Techniques | Ramshankar N | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-12 | 497 | Accelerating Antenna Development: The Role of Machine Learning Algorithms | Rashmi Sachin Tikar | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-12 | 566 | Deep Learning-Driven System for Automated Identification of Plant Nutrient Deficiencies | Shravya Miriyanam | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-12 | 574 | Enhancing Convolutional Neural Network Performance for Image Classification: A Comparative Study | Tasmiya Mujawar | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-12 | 656 | Model Outcome Comparison Analysis of Legal Text Summarization Techniques Abstractive vs Extractive Approaches | Pranav S | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-12 | 677 | Lung-retinaNet Lung Cancer Detection Using A RetinaNet With Multi-Scale Feature Fusion And Context Module | Vachimappagari Tharun | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-13 | 728 | Virtual Learning Analysis using Complex Rule-based Approach in the Context of Cloud Computing | Yadala Sucharitha | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-13 | 896 | Sequential Story Illustration Generation with Fine-Tuned Diffusion Model for Children Stories | Matan P | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-13 | 997 | Recognition and Parsing of Complex Mathematical Expressions Using CNNs | Palak Desai | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-13 | 1110 | NAÏVE BAYES-BASED ANALYSIS FOR PREDICTING HEART DISEASE | Eniyavanan A | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-13 | 1214 | Enhanced Rice Leaf Diseases Diagnosis Using Deep Learning Model with GAN-Based Synthetic Data Augmentation | Shaveta Jain | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-13 | 1570 | Hybrid RBC Morphology analysis and Diagnostic Framework for β-Thalassemia Using SEBlock-CBAM Enhanced MobileNetV2, TabNet with Optuna Optimization and SMOTE-ENN Resampling | Garima Shukla | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-13 | 1657 | A Review on: A lightweight DCCN system for real-time surveillance that detects abandoned objects | Neha Thotapalli | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-13 | 1676 | LUNG CANCER PREDICTION USING MACHINE LEARNING | S.Priyanka | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
Day 1 (12:00 PM - 3:30 PM), 05 April 2025 (Slot 2)
ONLINE - Technical Sessions 14-27
| Technical Session | Paper ID | Paper Title | Presenter | Track Name |
|---|---|---|---|---|
| Technical Session-14 | 1708 | Automated Transparent Glass Detection System Using Semantic Segmentation | Vaibhav More | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-14 | 1718 | From Diagnosis to Treatment: A Systematic Review of Machine Learning Technologies in Depression Care Management | Ajay Sudhir Bale | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-14 | 1719 | Deep Learning-Based Automatic Fake News Recognition on Online Social Networks | Pragya Goswami | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-14 | 1807 | Combating Cyber Abuse: A Toxic Comment Detection Model Using Deep Learning | Sriyanshu Awasthi | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-14 | 1837 | A Review On Use of Deep Learning and Hyperspectral Data Integration For Early Stage Crop Disease Detection | Dhiraj Bhise | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-14 | 2058 | An Architecture for Model Monitoring System with Automated Data Validation and Failure Handling | Sairamakrishna Karri | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-14 | 1499 | A Robust Intelligent License Plate Recognition System for Vehicle Surveillance and Security Control | Ch Reshma | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-14 | 2156 | Revolutionizing Medical Diagnosis: A Deep Learning Approach for Content-Based Image Retrieval | Anupama N | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-14 | 2204 | Mindscape: an AI-powered study companion integrating Natural Language Processing Algorithms | Riya Rajesh Sawant | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-14 | 2100 | Computer Virus Propagation Models: A Mathematical Review | Om Prakash | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-15 | 179 | Sustainable Smart EdTech Ecosystems: Innovations in Communication, Security, AI, and Management Practices | Abhijit Chandratreya | Track-10: Sustainable Smart EdTech Ecosystems: Innovations in Communication, Security, AI, and Management Practices |
| Technical Session-15 | 374 | AI in Education: Transforming Communication, Security, and Management in Smart EdTech Ecosystems | Dr. Priyanka Darekar | Track-10: Sustainable Smart EdTech Ecosystems: Innovations in Communication, Security, AI, and Management Practices |
| Technical Session-15 | 417 | Pioneering wireless power transfer for electric vehicle charging | B Lavanya | Track-10: Sustainable Smart EdTech Ecosystems: Innovations in Communication, Security, AI, and Management Practices |
| Technical Session-15 | 506 | Arc-Shaped Planar Monopole Antenna for Next-Generation 5G Communication | Suryansh Rajawat | Track-10: Sustainable Smart EdTech Ecosystems: Innovations in Communication, Security, AI, and Management Practices |
| Technical Session-15 | 616 | Optimizing Cost Management and Energy Consumption in Power Plants through Predictive Modelling | Gouri Shrivastava | Track-10: Sustainable Smart EdTech Ecosystems: Innovations in Communication, Security, AI, and Management Practices |
| Technical Session-15 | 952 | DESIGN AND DEVELOPMENT OF SOLAR-BASED COLD STORAGE AND DRYER SYSTEM FOR AGRI - PRODUCTS | Nithya P | Track-10: Sustainable Smart EdTech Ecosystems: Innovations in Communication, Security, AI, and Management Practices |
| Technical Session-15 | 1841 | Interpretable AI for Cyber Security: Enhancing DDoS Detection with LIME and Population-Based Training Models | D.M.V. SATYA SIVA SAI | Track-10: Sustainable Smart EdTech Ecosystems: Innovations in Communication, Security, AI, and Management Practices |
| Technical Session-15 | 2031 | Diagonal Based Clustering Protocol to Enhance the Lifespan of Wireless Sensor Network | Deepak Kannaujaiya | Track-10: Sustainable Smart EdTech Ecosystems: Innovations in Communication, Security, AI, and Management Practices |
| Technical Session-15 | 968 | Quantum-Driven Healthcare IoT (QH-IoT) | Ms. Shriya Kaushal | Track-11: The Convergence of Generative AI and Quantum Computing: Unlocking the Next Frontier of Innovation |
| Technical Session-15 | 250 | Unveiling the Bhagavad Gita: AI-Powered Sanskrit Translation and Interactive Insights | Sayali Dadasaheb Patil | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-15 | 280 | Deep Learning-Driven COVID-19 Lesion Segmentation in CT scans with R-EDNet | Anima Kujur | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-15 | 416 | Proactive Conservation: Predicting Deforestation Risks Using Machine Learning and Satellite Imagery Analysis | Ettedi Rishwanth | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-15 | 418 | Novel Pothole Detection System using YOLOv8 Algorithm | Shruti Shukla | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-15 | 458 | Empowering B2B Sales through AI-Driven Human Resource Strategies: Bridging Marketing and HR for Enhanced Sales Performance | Meghasham Chaudhari | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-15 | 532 | Roadside Tree Image-Based Air Quality Estimation of Gurugram City, Haryana, India | Neelam Yadav | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-16 | 630 | Real-Time Social Media Sentiment Analysis Using VADER and TextBlob | Swetha C.B | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-16 | 743 | Precision Agriculture: Enhancing Temperature Control through Deep Learning Algorithms and Regional Environmental Parameters | Vanshita Gupta S | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-16 | 1008 | Mapping Human-AI Collaboration - A Skill Framework for the Effective Use of AI | Shenali Somaratne | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-16 | 1535 | Gender Segregation of Silkworm pupae using Transfer Learning | Rahul Satish Vadhyar | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-16 | 2012 | Optimizing Ethical Investment Decisions with Hybrid Heuristic | Ashish Bhosale | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-16 | 2143 | An application-based AI Fitness Trainer integrating Multilayer Perceptron Network & Computer Vision | Riya Rajesh Sawant | Track-12: Transformation with AI, Deep Learning Breakthroughs and Real World Applications |
| Technical Session-16 | 481 | A Hybrid Approach to Intrusion Detection: Autoencoders and Decision Trees for Cybersecurity | Kriti Srivastava | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-16 | 498 | Object-as-a-Service (OaaS): A Mixed Method Approach to Balance Computational Overheads in Serverless Cloud Computing | Jhanvi Mehra | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-16 | 961 | Enhanced Public Key Security Using Cuckoo Search Optimization and Improved AES Algorithm | Maalavika S | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-17 | 962 | Stochastic Forensic Analysis for Detecting Data Theft | Sutheekshan B | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-17 | 1069 | Real-Time Tweet Sentiment Analysis Using Docker Kafka and Django | Dhara Lakshmi Kusumanchi | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-17 | 1467 | Comparative Analysis of Stock Price Prediction with Multiple Machine Learning Model | Kawerinder Singh Sidhu | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-17 | 1469 | Handling Security Aspects in the Internet of Things: Latest Challenges and Measures to Mitigate Risks | Kawerinder Singh Sidhu | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-17 | 1474 | Lightweight Deep Learning for Knee Osteoarthritis Analysis: A MobileNet Perspective | Kapil Joshi | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-17 | 1683 | Identity and Proxy Orientation based Remote Data Integration Checking and Uploading in Public Clouds | N. Sampreeth Chowdary | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-17 | 53 | Blockchain-Based Voting System: Comprehensive Analysis and Future Prospects | Ramanjeet Singh | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-17 | 169 | Intelligent Real Time Monitoring Module Designed for Helmet and Number Plate Detection | Harendra Singh Negi | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-17 | 401 | A study to investigate effective tools and framework for blockchain based healthcare environment | Kritika Sharma | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-18 | 424 | Deep Diving Into Blockchain Frameworks and Their Issues | Sowmya M | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-18 | 513 | EcoBot: A Smart and Sustainable System for Floating Garbage Collection | Aashna Patil | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-18 | 565 | Geolocation-Based Attendance Tracking System: A Comprehensive Review | Shrey Kumar Gupta | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-18 | 761 | Enhancing Practical Learning Through Augmented Reality: A Case Study in Virtual Labs | Manisha Pathania | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-18 | 763 | The Impact of Augmented Reality on Student Engagement and Retention in STEM Education | Chander Partap Singh | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-18 | 1647 | ST VERSE: AR / VR SIMULATION EXPERIENCE | Alkesh Benny | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-18 | 1771 | Comprehensive Study to Blockchain Frameworks and Performance Evaluation Tools | Rakesh Raushan | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-18 | 1780 | Deep Learning-Based IoT Framework for Real-Time Health Monitoring | Amit Sundas | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-18 | 1890 | Campus Navigation and Augmented Reality Guided Mobile Application | Riya Patel | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-19 | 1926 | A Secure IoMT Framework for Next-Gen Healthcare Systems Using Machine Learning | Amit Sundas | Track-2: Immersive Futures: Merging Realities with Intelligent Systems |
| Technical Session-19 | 116 | A Comparative Analysis of Deep Learning Approaches for Email Spam Detection | Ashwani Kumar | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-19 | 212 | An Adaptive Neuro Fuzzy Based Intelligent Load Frequency Control in Diverse Hybrid Power Systems | Shasya Shukla | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-19 | 226 | GLOBAL RESILIENCE INITIATIVE PREVENTING ILLEGAL LOGGING AND MONITORING RESTRICTED | Rakshitha Babu | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-19 | 373 | Video to Text using Google API | Shubhang Pareek | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-19 | 463 | Scalable Deployment Solutions for RSUs in VANETs Using Predictive Traffic Analysis Algorithms | R-Ezumalai | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-19 | 464 | Real-Time Detection of Malicious Nodes using Poplar optimized Sparsity-Aware Network for Improving VANET Security | R-Ezumalai | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-19 | 465 | A Cluster-Based Routing Strategy For Extending The Lifetime Of Internet Of Things Networks Using Quantum Dilated Convolutional Neural Networks With Emperor Penguin Optimizer | S.Jamuna Rani | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-19 | 466 | Harnessing Quantum Convolutional Neural Networks for Enhanced Coverage Hole Detection and Efficient Routing in IoT-Assisted WSNs | S-Jamuna Rani | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-20 | 467 | Intrusion Node Detection And Energy-Efficient Centralized Clustering Using A Similarity-Navigated Graph Neural Network In Wireless Sensor Networks | S.Jamuna Rani | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-20 | 470 | Optimizing Traffic Safety: A Dual Multi-Scale Attention Network for Anomaly Detection in VANETs | R-Ezumalai | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-20 | 520 | Implementation and Optimization of a Fuzzy Rule-based Classifier for Multi-class Classification Using Horizontal Federated Learning | Deepak Upadhyay | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-20 | 583 | Optimizing Bidirectional Power Flow in EV Charging Systems: Topologies and AI-Based Control for V2G/G2V and Renewable Energy Integration | Roshan Chitranshi | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-20 | 588 | NOVA: Advance Virtual Assistant Empowered by Sentiment Analysis for Precision and Accuracy | Ankur Singh | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-20 | 657 | Maximizing the Reliability of Machine Learning based Invasion Detection Systems on a Modern, Unbalanced Dataset | R. Saravanakumar | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-20 | 660 | Machine Learning Techniques For Intrusion Detection In Malware-Infected Android Devices | R. Saravanakumar | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-20 | 1048 | Dynamic Neural Network Training for Self-Driving Cars in Generative Virtual Environments | Riya Pandey | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-20 | 1498 | FSS-Based Band Pass Filter Design for C-Band Satellite Downlink Interference Mitigation | Kannappan P | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 1735 | A Comprehensive Review of Fake News on Social Media and Its Influence on Modern Society | Neha Tyagi | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 1911 | AI-Powered Energy Optimization for Carbon Emission Reduction and Sustainability | Divya Mishra | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 1947 | Comparative Analysis of Different Attention Mechanisms in Hybrid Deep Learning Model for In-Vehicle Intrusion Detection Systems. | Vismaya Kk | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 1956 | AI-Driven Individual Identification in Surveillance Systems: Leveraging Vision Transformers and Graph Neural Networks for Enhanced Drone Surveillance | Brithicksha D | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 1977 | Leveraging Machine Learning for Early Detection and Prediction of Suicidal Tendencies in Women | Vedatrayee Chatterjee | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 2150 | Simplifying Medical report: A Novel Approach to Medical Reporting using OCR technology | Ritesh Verma | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 2210 | Analysis of Blocking Probability in OBS Networks using PWA Technique | Gayatri Tiwari | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 541 | Performance and Analysis of Solar Powered Water Trash Collector Boat | Harsh Yadav | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 1320 | Performance Analysis of Different Data Embedding Techniques: Cryptography, Steganography and Watermarking | VIJAY KRISHNA PALLAW | Track-3: Artificial Intelligence and Soft Computing in Power, Energy, Communication, and Security Systems |
| Technical Session-21 | 145 | Edge Computing for Predictive Braking in Software-Defined Vehicles | Nikhilesh Prafulla Sawarkar | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 281 | Marker-Based Augmented Reality in Unity: Enhancing Education through Interactive Visualization | Neha Garg | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 282 | Immersive Virtual Reality: The Future Of Pain Management | Neha Garg | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 564 | AgroMarket: Empowering Agriculture with smart Auction | Salunkhe Lokesh Dattatray | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 760 | Evaluating the Influence of User Engagement Metrics on a Hyper-Casual Game | Manisha Pathania | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 1210 | Amalgamation of cloud computing with IOT Novel ClouT Architecture. | Neera Chaudhary | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 1523 | A Review of Virtual Reality-Based Technology for Treatment Upper limb Rehabilitation | Parul Gahelot | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 1812 | Exploring Arduino Board Applications in Embedded Systems: The Role of AI, Cloud Computing, and Edge Computing | Neha Garg | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 1996 | Authentication using Static and Continuous Keystroke Dynamics in Classical and Quantum Environments | Namisha Bhasin | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 1997 | Comparative Analysis of different methods of RSA hardware implementation on FPGA | Dr. Amanpreet Kaur | Track-4: Innovative and Disruptive Technologies |
| Technical Session-22 | 2066 | A Detailed Study of Vulnerability Detection using Common Vulnerabilities and Exposures from NVD using Machine Learning and Deep Learning Models | Puninder Kaur | Track-4: Innovative and Disruptive Technologies |
| Technical Session-23 | 2130 | Smart Living: The Role of IoT in Next Generation Home Automation System | Harshit Gupta | Track-4: Innovative and Disruptive Technologies |
| Technical Session-23 | 2131 | IoT-Driven Vehicle Tracking: Approach for Real-Time Navigation Management | Raghav Goel | Track-4: Innovative and Disruptive Technologies |
| Technical Session-23 | 1487 | GAN AI for Predictive Threat Detection with Explainable Risk Insights | Priyal Shilasrao Patange | Track-5: Recent Trends and Innovations in Generative AI |
| Technical Session-23 | 284 | EEG-Based Real-Time Feedback for Meditation Performance Optimization | Kishore Kanna R | Track-6: Federated Learning for Predictive Healthcare Paradigm |
| Technical Session-23 | 287 | Edge Computing and AI powered Drone Magnometers Module Applications | Dr Priyanka Singh | Track-6: Federated Learning for Predictive Healthcare Paradigm |
| Technical Session-23 | 1195 | Medical Image-Based Cancer Diagnosis and Detection using Deep Learning | K Rama Rao | Track-6: Federated Learning for Predictive Healthcare Paradigm |
| Technical Session-23 | 1532 | Predicting Medical Costs Using Machine Learning: A Data-Driven Approach | Aryan Pradhan | Track-6: Federated Learning for Predictive Healthcare Paradigm |
| Technical Session-23 | 285 | Integrating Cognitive and Neuroimaging Data to Enhance Alzheimer's Disease Diagnosis | Kishore Kanna R | Track-7: Advances in Adversarial and Multi- Source Transfer learning for secure and Robust Modern Healthcare System |
| Technical Session-23 | 286 | IoT in Healthcare: Bridging Technological Innovation and Societal Impact | Kishore Kanna | Track-7: Advances in Adversarial and Multi- Source Transfer learning for secure and Robust Modern Healthcare System |
| Technical Session-23 | 495 | Impact of Diet, Colors and Virtual Reality on Mental Well-Being of an Individual: A Pre-Test Analysis | Bhanu Sharma | Track-7: Advances in Adversarial and Multi- Source Transfer learning for secure and Robust Modern Healthcare System |
| Technical Session-24 | 744 | Enhancing Oral Health Sustainability through Deep Learning: A Focus on Tooth Decay Detection and Risk Analysis | N L Padma Swati | Track-7: Advances in Adversarial and Multi- Source Transfer learning for secure and Robust Modern Healthcare System |
| Technical Session-24 | 178 | Sugarcane disease detection and classification using deep learning techniques | Taranpreet | Track-8: Emerging Trends with Generative AI, Multimodal Federated Intelligence, and XAI transforming the next generation connected technologies |
| Technical Session-24 | 1531 | BNS Mitra: RAG-optimized LLM based AI-powered Legal Virtual Assistant | Bhavesh Patil | Track-8: Emerging Trends with Generative AI, Multimodal Federated Intelligence, and XAI transforming the next generation connected technologies |
| Technical Session-24 | 1969 | Multimodal Deep Learning System for Nutritional Deficiency Assessment and Dietary Recommendation | Gita Kolate | Track-8: Emerging Trends with Generative AI, Multimodal Federated Intelligence, and XAI transforming the next generation connected technologies |
| Technical Session-24 | 2011 | Survey of Optimization Techniques for Phishing Website Detection | Santosh Kumar Birthriya | Track-8: Emerging Trends with Generative AI, Multimodal Federated Intelligence, and XAI transforming the next generation connected technologies |
| Technical Session-24 | 2147 | C^3 - Code Commit Collab - A collaborative Code Editor using Repository Level LLM | Rohan Shirish Waghode | Track-8: Emerging Trends with Generative AI, Multimodal Federated Intelligence, and XAI transforming the next generation connected technologies |
| Technical Session-24 | 311 | DEAMN: Advanced Multi-Drone Navigation and Coordination for Dynamic Environments Using ROS-Based System | Lade Gunakar Rao | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-24 | 372 | Improved methods for predicting flight delay using machine learning techniques | Neha Goyal | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-24 | 433 | Client Defection Prediction using Machine Learning Techniques with Data Analytics | Karlyn Hannah P | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-24 | 516 | Optimizing Machine Learning Models with CUDA: A Comprehensive Performance Analysis | Niteesh L | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-24 | 538 | Advancements in Botnet Detection: An Extensive Analysis of Machine Learning Techniques | Priya | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-24 | 548 | Predictive Maintenance for Industrial Equipment ( Motar ) Using IoT | Saurabh Pandey | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-24 | 622 | KDD on CIFAR 10 Dataset by Deep Learning Models | Mohan E | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-24 | 662 | Application of Machine Learning to Optical Network Traffic-Driven Provisioning Services | R. Saravanakumar | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-24 | 719 | Natural Killer Cells in Intrusion Detection: A CIS-Based Approach for Improving Detection Accuracy | R.Roselinkiruba | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-25 | 721 | CONTEXT AWARE APPROACH FOR SERVER SCEHEDULING PROCESS IN MACHINE LEARNING | Dr.R.Roselinkiruba | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-25 | 754 | White Light Medical Image Based Oral Cancer Diagnosis Using an Ensemble Deep Learning Model | Kola Anantha Venkata Sai | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-25 | 1417 | AQUAFORECAST: PREDICTING CHENNAI'S WATER AVAILABILITY AND DEMAND | Priyanka M | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-25 | 1522 | Implementation and optimization of object detection on FPGA-based CPU+NPU heterogeneous system | Cuiping Shao | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-25 | 1559 | Crop Disease Prediction using AI | Nagaraju Bogiri | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-25 | 1575 | Performance Analysis of Machine Learning Models and Deep Learning Model for Credit Card Fraud Detection | Liza Dagar | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-25 | 1715 | Enhancing Protein Secondary Structure Prediction with a Bi-LSTM Model and Random Sampling Technique | Vaibhav Verma | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-25 | 1747 | Sarcasm Detection in Social Media Text Using GloVe Word Embeddings in Machine Learning | Birbal Kumar | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-25 | 1750 | Comparative Study of Sarcasm Detection Using GloVe + LSTM Technique in Machine Learning | Birbal Kumar | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-26 | 1822 | Intelligent Detection of DDoS Attacks in Software Defined Networks Using Deep Learning | Alok Kumar Ranjan | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-26 | 1863 | From Data to Decisions: Evaluating Deep Learning Models for Stock Price Prediction in Volatile Markets | Dhaval Mehta | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-26 | 1831 | AI-Driven Dermatological Diagnosis and Treatment System | Kshitij Sharma | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-26 | 2192 | Risk Assessment and Prediction of Floods and Droughts using Attention-LSTM | Sonal Rajesh Sonarghare | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Technical Session-26 | 700 | Multi-plant leaf disease detection using AlexNet and MobileNet CNN Methods | M. Chandraprabha | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-26 | 1451 | Leveraging Machine Learning for Real-Time Crowd Control and Safety at Kumbh Mela | Augustya Shukla | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-26 | 2139 | VerdictEye - Predict Court Judgements | Abhishek Kumar Singh | Track 14:Revolutionizing Industries: Deep Learning, LLMs, and Federated Learning in Healthcare, Agriculture, Intelligent Systems, and Beyond |
| Technical Session-26 | 561 | Basica: A Lightweight Interpreted Language for Streamlined Mobile Development | Dhruv | Track-4: Innovative and Disruptive Technologies |
| Technical Session-26 | 1204 | Exploring Blockchain Technology for Secure Electronic Voting Systems : A Review | Pravin Raghunath Pachorkar | Track-13: Blockchain, Cybersecurity, and AI: Building Resilient Systems for the Future |
| Technical Session-27 | 270 | Perception of essential Sound in Cochlear Implants: Prediction using Deep learning techniques | A.SHARAN JASMINE | Main Track: ICCSAI 2025 |
| Technical Session-27 | 1949 | Study of Track Obstacles Detection System | Rishabh Verma | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-27 | 1813 | Detection of Poly-Cystic Ovarian Syndrome (PCOS) using Image Processing Techniques | Adhithyan Aravind | Track-6: Federated Learning for Predictive Healthcare Paradigm |
| Technical Session-27 | 810 | nsuring the Security and Privacy of Healthcare IoT Data: A System for the Safe Administration of Patient Records | Jay shree | Track-8: Emerging Trends with Generative AI, Multimodal Federated Intelligence, and XAI transforming the next generation connected technologies |
| Technical Session-27 | 824 | Employing Artificial Intelligence and Machine Learning to Create Adaptive Models for Improved Predictive Accuracy in Dynamical Real-World Applications | kamatchi s | Track-8: Emerging Trends with Generative AI, Multimodal Federated Intelligence, and XAI transforming the next generation connected technologies |
| Technical Session-27 | 1624 | Water Quality Prediction: Machine Learning Approaches for Sustainable Resource Management | Prajjwal Kumar Yadav | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Technical Session-27 | 843 | Development and Implementation of SiC MOSFET in Electric vehicles in MATLAB Simulink | Dr.R.Sathiya | Main Track: ICCSAI 2025 |
Day 3 (9:30 AM - 1:00 PM), 06 April 2025
ONLINE - Leftover Papers
| Technical Session | Paper ID | Paper Title | Presenter | Track Name |
|---|---|---|---|---|
| Leftover | 404 | CROP YEILD PREDICTION FOR SMART FARMING | Vansh Gupta , Sourabh , Veer Pratap, Ajay Kumar | Main Track: ICCSAI 2025 |
| Leftover | 1987 | The Impact of Neuromorphic Computing on Brain-Inspired Robotics: A Novel Architectural Paradigm | Sumanshu Jindal | Main Track: ICCSAI 2025 |
| Leftover | 497 | Accelerating Antenna Development: The Role of Machine Learning Algorithms | Rashmi Sachin Tikar | Track-1: Emerging Trends and Applications in Machine Learning and Deep Learning |
| Leftover | 622 | KDD on CIFAR 10 Dataset by Deep Learning Models | Mohan E | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Leftover | 719 | Natural Killer Cells in Intrusion Detection: A CIS-Based Approach for Improving Detection Accuracy | R.Roselinkiruba | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Leftover | 721 | CONTEXT AWARE APPROACH FOR SERVER SCEHEDULING PROCESS IN MACHINE LEARNING | Dr.R.Roselinkiruba | Track-9: Machine Learning and Deep Learning: Methods, Designs, Implementations, Techniques and Applications |
| Leftover | 140 | AI-Augmented Cybersecurity Protocols for Secure Multi-Hop Wireless Communication in 6G Networks | Renu Kumawat | Main Track: ICCSAI2025 |
| Leftover | 159 | Crop Recommendation Using Machine Learning Algorithms | Ankur Sharma | Main Track: ICCSAI2025 |
| Leftover | 1215 | An Examination of Brain Tumor Using the ABC and ANN Algorithms | Amar Singh | Track-6: Federated Learning for Predictive Healthcare Paradigm |
| Leftover | 1634 | An Explainable AI-Centric Approach for Healthcare: A Review | Sumit Sharma | Track-8: Emerging Trends with Generative AI, Multimodal Federated Intelligence, and XAI transforming the next generation connected technologies |
| Leftover | 2153 | Integrating Explainability in AI for Retinal Imaging: Enhancing Diabetic Retinopathy Diagnosis Accuracy | Sumit Sharma | Track-8: Emerging Trends with Generative AI, Multimodal Federated Intelligence, and XAI transforming the next generation connected technologies |