conf logo
ICSSAS 2026
4th International Conference on
Self Sustainable Artificial Intelligence Systems
28-30, May 2026
Submit Article

Presentation Schedule

DAY 01

28 May 2026

Inauguration & Keynote Talk09:30 AM – 10:30 AM
Session - 110:30 AM – 01:00 PM
Lunch01:00 PM – 02:00 PM
Session - 202:00 PM – 04:00 PM
Session - 304:00 PM – 05:30 PM

DAY 02

29 May 2026

Session - 409:00 AM – 01:00 PM
Lunch01:00 PM – 02:00 PM
Session - 502:00 PM – 04:00 PM
Session - 604:00 PM – 05:30 PM

DAY 03

30 May 2026

Session - 709:00 AM – 01:00 PM
Lunch01:00 PM – 02:00 PM
Session - 802:00 PM – 04:00 PM
Session - 904:00 PM – 05:30 PM
Presentation Details ⤅
Presentation Time : 20 Minutes
Format : PPT (PowerPoint)
Session – 1 | Parallel Session – 1
Day 1 – 28 May 2026 | 10:30 AM – 01:00 PM
👤
Adaptive Meta-Federated Reinforcement Learning Framework for Intelligent Predictive Maintenance in Industry 4.0 IIoT Systems
Natrayan L
ICSSAS-014
10:30 AM – 10:50 AM
👤
Self-Sustainable Artificial Intelligence Framework for Predictive Optimization of FSW-Processed Aluminium–Fly Ash Composites
E. Aravindaraj, Natrayan L
ICSSAS-013
10:50 AM – 11:10 AM
👤
An Integrated GoogLeNet and U-Net Architecture for Accurate Plant Leaf Disease Analysis
Khaleelullah Shaik,Mohammed Ali Shaik
ICSSAS-005
11:10 AM – 11:30 AM
👤
Hybrid Multi-view ECG Emotion Recognition via Adaptive Wavelet Packet Transform and Attention- Based Transformer Modeling
Sankar Ganesh Karuppasamy, Rajeev Kumar M
ICSSAS-016
11:30 AM – 11:50 AM
👤
VitaWeave: A Multimodal AI Health Assistant Leveraging Groq and Meta LLaMA for Nutrition Planning and Personalized Care
Atharva Pagar
ICSSAS-011
11:50 AM – 12:10 PM
👤
Enhancing Cognitive, Affective, and Performance Outcomes through Gamification and DGBL in Mathematics Education
Swati Sharma,Varun Dogra
ICSSAS-034
12:10 PM – 12:30 PM
👤
Deep Learning Architecture for Multi-Class Banana Leaf Disease Classification
Dr. A. Rajendran,Anujeyanthi M,Elakkiya S,Ragasritha M,Vedha Sruthika A
ICSSAS-051
12:30 PM – 12:50 PM
Session – 1 | Parallel Session – 2
Day 1 – 28 May 2026 | 10:30 AM – 01:00 PM
👤
Prediction of Chronic Liver Disease Using Machine Learning: A Comparative Study of CatBoost and XGBoost
W. Hepzibah Jebaselvi, S. Jagadeesh, C Mahesh, S. Samsudeen Shaffi, G. Gifta Jerith, P. Ponmathi Jeba Kiruba
ICSSAS-036
10:30 AM – 10:50 AM
👤
Stroke Risk Prediction Using Imbalance-Sensitive Machine Learning Models on Structured Clinical Data
Ayyappan G
ICSSAS-019
10:50 AM – 11:10 AM
👤
Compact Quad-Port Hexagonal Slot MIMO Antenna for Wideband 20–38 GHz Applications
Simadri Badatya, Y.Abhishek Reddy, Battula Chandra Sekhar, P.Ganesh Reddy
ICSSAS-048
11:10 AM – 11:30 AM
👤
SmartMedGuide: An AI-Powered Chatbot Based Medicine Classification and Guidance System
S. Ravi Kishan, SK. Alisha Jasmeen, S. Gnaneswar Rao, K. Harish
ICSSAS-064
11:30 AM – 11:50 AM
👤
Audio-Driven Survivor Detection System for Post-Disaster Rescue Using Deep Learning
M. Sobhana, A. Ramya Sri, V. Pavitra, K. Midhun Manikanta
ICSSAS-025
11:50 AM – 12:10 PM
👤
AI-Enhanced Smart Compression Clothing for Early Detection of Athletic Injuries
Siva D,Dr. Shobana Devi A
ICSSAS-024
12:10 PM – 12:30 PM
👤
Eye Disease Prediction of Premature Infants from Fundus Image Using Deep Learning
Navanitha Sudev,Aleena Rose,Vimina E R
ICSSAS-031
12:30 PM – 12:50 PM
Session – 1 | Parallel Session – 3
Day 1 – 28 May 2026 | 10:30 AM – 01:00 PM
👤
V2V Communication System Using Cognitive Radio and AI for Collision Avoidance
A. Rajendran, S. Vigneshwaran, S. Venkata Subramaniam, R. Raghavendra, G. Balamurugan
ICSSAS-050
10:30 AM – 10:50 AM
👤
Proficiency Based Adaptive Education System for Personalized Learning
M. Parvathi,S. Arun,M. Dayanithi,V. Jaikumar,S. Muralikrishnan
ICSSAS-067
10:50 AM – 11:10 AM
👤
DIGITAL LOGIC BASED SENSOR-LESS FAULT DIAGNOSIS AND LOGICAL PHASE ISOLATION SYSTEM FOR OVERHEAD TRANSMISSION LINES
Mrs A. Praveena,V. Likitha,S. Lakshmi Sahithi,P.S.L.S. Reshma,P. Leelavathi,M. Trisha,
ICSSAS-081
11:10 AM – 11:30 AM
👤
Lung Cancer Detection and Survival Probability Systematic investigation employing Machine Learning and Deep Learning
S Aswin, Niteesh S V, Svanik S Ranjith Kumar A
ICSSAS-074
11:30 AM – 11:50 AM
👤
Developing an AI based feedback analysis system for EV manufacture using NLP and sentiment intelligence
Mr. S. RAJESH KUMAR,SANTHOSH GANDHI A J,SANTHOSH KUMAR R,SUHAN G
ICSSAS-022
11:50 AM – 12:10 PM
👤
An Efficient CatBoost-Based Model for Hospital Length of Stay Prediction
D.SAINATH,K.AKHIL,M.SOWJANYA,M.JEEVAN KUMAR
ICSSAS-023
12:10 PM – 12:30 PM
👤
Smart Train Coach Seat Authentication and Complaint Handling System Using IoT
Kiruthiga T, Aanandhakrishnan S, Abinesh R, Bhuwan Prasad J, Dharun Pranay R R,
ICSSAS-075
12:30 PM – 12:50 PM
Session – 1 | Parallel Session – 4
Day 1 – 28 May 2026 | 10:30 AM – 01:00 PM
👤
Multi-View Graph Attention Transformer Network in Classifying ADHD Subtypes based on Magnetic Resonance Imaging
Neema. H.N,Dr. N.V. Balaji
ICSSAS-372
10:30 AM – 10:50 AM
👤
Adverse-Weather Perception for Autonomous Navigation: A Survey of Domain Adaptation, Test-Time Optimisation, and Uncertainty Estimation
Joseph Rish Simenthy,Pallavi Singh
ICSSAS-387
10:50 AM – 11:10 AM
👤
A Human-in-the-Loop Augmented Intelligence Framework for Inclusive Costume Fit Optimization Using Decision Tree Regression
,Dr. Jayapriya. S,C. Anisha ,Dr. Malarvizhi. G,Dr. N. Radhika ,A. Santhiya,Dr. N. Kavitha
ICSSAS-402
11:10 AM – 11:30 AM
👤
Design of Emotionally Intelligent Autonomous-Agents Using Multimodal Fusion and Deep Reinforcement Learning
Nirmal Singh,Ajay Kumar Suwalka,Awanit Kumar,Lokesh Vegi,Sumanth Banakar,Venkatesh Ankarla Sri Ramuloo
ICSSAS-411
11:30 AM – 11:50 AM
👤
Machine Learning-Driven Cognitive Assessment Framework for Early Detection of Alzheimer’s Disease Using ADNI Clinical Data
Dr. C P Pavan Kumar Hota,D Krishna Madhumita,D Pravallika,G Usha Sri,K Chandana,J Venkata Yamini
ICSSAS-292
11:50 AM – 12:10 PM
👤
FLYCNet: Federated Learning for Yoga pose Classification using deep neural Networks in Real time
Srivishnu Muni Gade,Sushma EJ,Tejasree C J,Bhanu Prabhas Tamminedi,Dr. Shylaja S S
ICSSAS-378
12:10 PM – 12:30 PM
👤
Real-Time Stroke Risk Prediction Using Advanced Machine Learning Algorithms
Dr. V. Lokeswara Reddy,B. Anusha,Vasanthu Ajay Kumar Reddy
ICSSAS-416
12:30 PM – 12:50 PM
Session – 1 | Parallel Session – 5
Day 1 – 28 May 2026 | 10:30 AM – 01:00 PM
👤
Real-Time Wi-Fi Deauthentication Attack Detection and Prevention Using Multi-Layered Analysis and Autonomous Defense
Mrs. Shanthini K.S,Mr. Supreeth Ragavendra S
ICSSAS-464
10:30 AM – 10:50 AM
👤
A Robust Blockchain-Based Secure Healthcare Information Exchange
D. Sungeetha,Pitchandi . R,Mosses A,Dr.R.Balamanigandan,Dr. K. Nirmala,T Sukumar
ICSSAS-470
10:50 AM – 11:10 AM
👤
Modern Machine Learning Paradigms for Smart Solar PV Power Forecasting
Navnath Ghogare,Dr. Namra Joshi
ICSSAS-465
11:10 AM – 11:30 AM
👤
UNDERSTANDING AND STRENGTHENING LONG-TERM HUMAN TRUST IN AUTONOMOUS DECISION-MAKERS
Vijayadharshini Kumar,Ananto Tri Sasongko,Mouthami Kuppusamy,Vishnu Kumar Kaliappan,Aswan Supriyadi Sunge
ICSSAS-248
11:30 AM – 11:50 AM
👤
AI-Drive: Multi-Modal Aphasia Detection using Speech,Text,and Facial Expression Analysis with OpenCV
VIJAYGANESH R C,NIRESH KUMAR S,RAGHAVI S
ICSSAS-469
11:50 AM – 12:10 PM
👤
Space Debris Intelligence Platform: A Multi-Model Deep Learning Framework with RAG
Rabinesh Aravinnd C R,Dr. E. Ahila Devi,Ms. S. Lakshmi
ICSSAS-478
12:10 PM – 12:30 PM
👤
Assessing Anxiety in Real Time: Analysis of Structured Virtual Interviews and AI-Driven Models
Parvez Rahi,Sanjay Singla
ICSSAS-476
12:30 PM – 12:50 PM
Session – 2 | Parallel Session – 1
Day 1 – 28 May 2026 | 02:00 PM – 04:00 PM
👤
Graph Autoencoder-Based Link Prediction for Disease–Symptom Knowledge Graph Completion
Remya R.K. Menon, Ameena N, Haripriya J
ICSSAS-033
02:00 PM – 02:20 PM
👤
KineRest-TCN: Pose-Based Restlessness and Hyperactivity Detection in ADHD Children
M. Mohammed Musharaf, Jenefa Archpaul, Antony Taurshia, Vidhya.K, T.M. Thiyagu, Catherine Joy R
ICSSAS-009
02:20 PM – 02:40 PM
👤
A Comprehensive Review on Real-Time Crowd Emotion Analyzer
Alisha Tamboli, Sakshi Kharat, Swapnali Jakikure, Aarti Malpeddi, Kimi Ramteke
ICSSAS-038
02:40 PM – 03:00 PM
👤
Real-Time Intrusion Detection for SOHO Networks Using Open Source Tools
Dhathri Tendulkar, Manamohana Krishna
ICSSAS-017
03:00 PM – 03:20 PM
👤
Advanced Fake News Detection System with Board Natural Language Processing with Rich Feature Engineering
Swathi Buragadda, G.Bindu Siva Naga Durga, S.Kanchan Varma, SK.Mahaboob Subhani
ICSSAS-076
03:20 PM – 03:40 PM
👤
Forecast-Driven Slot Commitment for Intelligent EV Charging Infrastructure Optimization
Prasanna Kumar K,DR. V. Nallarasan
ICSSAS-029
03:40 PM – 04:00 PM
Session – 2 | Parallel Session – 2
Day 1 – 28 May 2026 | 02:00 PM – 04:00 PM
👤
Online Learning: Driven Load Balancing for Distributed SDN Controllers in 5G Edge Environments
`Pawanpreet Walia,Darpan Anand,Deepak Kumar
ICSSAS-080
02:00 PM – 02:20 PM
👤
Uncertainty-Aware ScratchFormer: A Resource-Efficient Siamese Transformer with Aleatoric Uncertainty for Robust Building Change Detection
Vismaya Dinesh Kumar, Mayuri D, Vimina E. R.
ICSSAS-049
02:20 PM – 02:40 PM
👤
Machine Learning Classifiers for Alzheimer’s Disease Progression: A Comprehensive Review of AI-Driven Diagnostic Systems
Kishore Kumar Venkatesan, S. Ananthi, V.C. Bharathi, R. Bhuvaneswari, Akhila C S, E. Aksha Pricilda Reena
ICSSAS-055
02:40 PM – 03:00 PM
👤
A Transfer Learning–Based Deep Neural Network System for Automated Tuberculosis Diagnosis from Chest Radiographic Images
Kishore Kumar Venkatesan,Dr. S. Ananthi,Dr. V.C. Bharathi,T. Deepa ,Mr. S.Parthiban,Dr.Jim Mathew Philip
ICSSAS-056
03:00 PM – 03:20 PM
👤
Design of a Multimodal Pluvio-Aeolic Energy Transduction Module for Cyclonic Power Resilience
Subramani M,Kiruthigadevi V,Ramesh S,Rohith M,Ramanathan G,Vasanth S
ICSSAS-058
03:20 PM – 03:40 PM
👤
DESIGN AND EXPERIMENTAL VALIDATION OF AN IOT-ENABLED FOGPONICS SYSTEM FOR PRECISION MICROGREEN CULTIVATION AND PERSONALIZED RECOMMENDATIONS
Dr. M. Ashok Kumar ,R.Yaswanthraj ,K. V. Kayal,N. Jana
ICSSAS-018
03:40 PM – 04:00 PM
Session – 2 | Parallel Session – 3
Day 1 – 28 May 2026 | 02:00 PM – 04:00 PM
👤
DQSLGM: Drift Aware Quantum-Enabled Ensemble Model Based on Multi-Head Learning for Intrusion Detection in Internet of Things Networks
Shubhangi Subhash Gujar,Dr. Anand Singh Rajawat
ICSSAS-046
02:00 PM – 02:20 PM
👤
RL-Enhanced Dual-Stage Mask R-CNN–DenseNet–ViT Framework for Automated NAFLD Detection,Severity Grading, and Longitudinal Progression Prediction
Kishore R,Dr. Anand L,Hariharan K R,Prarthana M D
ICSSAS-098
02:20 PM – 02:40 PM
👤
KeraSwin: Swin Transformer–Based Keratoconus Screening from Corneal Topography
Mohammed haneefa Jafar, Jenefa Archpaul, Antony Taurshia, Vidhya.K, T.M. Thiyagu, Catherine Joy R
ICSSAS-026
02:40 PM – 03:00 PM
👤
Secure Cloud–IoT Ecosystems: A Hybrid AI and Signal Processing Architecture for Intelligent Robotic Threat Mitigation
Rudhrananth Baladhandapani, Sri Harsha Grandhi, Bhanutheja Nagabhushana Reddy, Elegbeleye Femi Abiodun, Anu Priya Sharma, Biplov Paneru
ICSSAS-057
03:00 PM – 03:20 PM
👤
AI System For Urination Activity Recognition And Neurogenic Bladder Risk Prediction In Medical Monitoring Using GRU Algorithm
C.A. Kandasamy,D.Aravind,P. Anitha,Krishnakumar S,R.Geetha,E.Loganathan
ICSSAS-101
03:20 PM – 03:40 PM
👤
Contactless Optical Absorption Model for Neonatal Oxygen Saturation and Haemoglobin Assessment
A Murugesan,R Prabu,B B Sangameswaran,V D Nandhini,T Ajay Venkatesh,M Dinesh
ICSSAS-087
03:40 PM – 04:00 PM
Session – 2 | Parallel Session – 4
Day 1 – 28 May 2026 | 02:00 PM – 04:00 PM
👤
Transformer-Based Framework for Pairwise DNA Sequence Alignment Using DNABERT
S Rajesh,Yanamalamanda Sravya,Polavarapu Devi Priya
ICSSAS-389
02:00 PM – 02:20 PM
👤
Multimodal AI Framework for Psych dermatological Analysis and integrated Healthcare chatbot
Ms.K.Hemalatha,Vishal Roshan S,Sudharsan K P,Sree Varsha G,Ms. Vaishnavi Dali. A,Mr. B. Mohanraj
ICSSAS-350
02:20 PM – 02:40 PM
👤
Ransomware Detection Methods: A Comprehensive Survey and Future Research Directions
Parambir Singh,Shivam Singh,Aayan Kumar,Yash Goyal,Suraj Kumar Singh Kushwaha
ICSSAS-375
02:40 PM – 03:00 PM
👤
An Enhanced Security Framework for SQL Injection Detection Using Hybrid Machine Learning and Deep Learning Techniques
P.Kharthi priya
ICSSAS-163
03:00 PM – 03:20 PM
👤
An Explainable Transformer-Based Framework for Semantic and Sentiment Analysis of Literary Texts
Tabish Rao,Rishabh Walia,Deepak Kumar Chohan,Geetanjali Bisht,Kalyan Thapa,Raman Sharma
ICSSAS-419
03:20 PM – 03:40 PM
👤
A Human-Centered Multimodal Pre-Upload Content Moderation Framework with Hybrid Decision Intelligence
Durga Devi B,Babu Niranjan G ,Arun Shanker S,Jai Surya B
ICSSAS-259
03:40 PM – 04:00 PM
Session – 2 | Parallel Session – 5
Day 1 – 28 May 2026 | 02:00 PM – 04:00 PM
👤
A Data-Scarce Digital Twin Framework for Irrigation Decision-Making Using Physics-Constrained Generative AI
Shivram Mohan, Sanidhya Sharma, Minakshi M Unnithan, S Lalitha
ICSSAS-112
02:00 PM – 02:20 PM
Session – 3 | Parallel Session – 1
Day 1 – 28 May 2026 | 04:00 PM – 05:30 PM
👤
AI- ASSISTED AGRICULTURAL DECISION SUPPORT SYSTEM
Kavin Kumar D,Preethishri D,Magagayathri S,Bharanidharan B,Arvinth K R
ICSSAS-097
04:00 PM – 04:20 PM
👤
Human-in-the-Loop Prompt-Policy Learning for Longitudinal Driver Behaviour Improvement Using Vision-Based Risk Perception
Shanmugam P,Kamali K A,Keerthika S
ICSSAS-084
04:20 PM – 04:40 PM
👤
Crop Disease Monitoring System Using Deep Learning and GIS-Based Mapping
Vadlaputi Dinesh, T. R. Vedhavathy,
ICSSAS-115
04:40 PM – 05:00 PM
👤
Smart Automated Monitoring System for Secure Examination Environments Using Hybrid Adaptive Deep Academic Monitoring and Evaluation
B. Kalaiselvi,P.Premkumar,J J.Kowsik,A.Praveen,E.Pachaiyappan
ICSSAS-091
05:00 PM – 05:20 PM
Session – 3 | Parallel Session – 2
Day 1 – 28 May 2026 | 04:00 PM – 05:30 PM
👤
Quantum-Inspired Neural Networks vs Machine Learning and Deep Learning: Comprehensive Benchmarking for Malicious QR Code and URL Detection
HEMALATHA RAAVI,DEEPA MANASA YERRA,CHINTA POOJITHA,D. V. R. S. ADITYA,GOTTUMUKKALA DHEERAJ VARMA,DANDANGI RUFUS RAJ
ICSSAS-099
04:00 PM – 04:20 PM
👤
AI Agent for Automated Restaurant Table Reservations Using n8n
Pratik Ningappa Munavalli, G. Pradeep Reddy
ICSSAS-037
04:20 PM – 04:40 PM
👤
AI-Based Sleep Disorder Detection Using XGBoost
J.K. Kanimozhi,G.K.Kabilan,E.Nithyakala,S.Nivetha,C.A. Kandasamy,A.Yoganathan
ICSSAS-105
04:40 PM – 05:00 PM
👤
DETR-Based End-to-End Detection and Segmentation of Cardiac Enlargement in Chest X-Rays
.K. Kanimozhi,M.Ritika,P. Anitha,E.Nithyakala,N.Prakash,P.Meenakshi Devi
ICSSAS-106
05:00 PM – 05:20 PM
Session – 3 | Parallel Session – 3
Day 1 – 28 May 2026 | 04:00 PM – 05:30 PM
👤
AI Powered Smart Intelligence-Based Post Covid Heart Disease Risk Prediction Based on Deep LSTM Gated Hyper Capsule Cardiaxnet – Fusion Network for Early Treatment Recommendation
V. Kamakshi,Dr.S.Prasanna
ICSSAS-107
04:00 PM – 04:20 PM
👤
Deep Learning- Enabled Pulmonary Embolism Classification Using EfficientNet
A.Vijayalakshmi,Mega Sri. K,Kobika V S,Manjusumithra G,Mohanapriya R
ICSSAS-090
04:20 PM – 04:40 PM
👤
SphinxATS: A Multi-Attribute AI-Based Decision Support System for Automated Resume Screening and Candidate Ranking
Manish Krishna Kandrakota,Varkala Sateesh Kumar,Nanduri Veena Vidmahi,Sanjana Reddy Jangaalapalli Mesa
ICSSAS-108
04:40 PM – 05:00 PM
👤
Big data-based healthcare data analysis using various ML and DL techniques Identifying High-risk Sensitive Records
R. Anitha,Dr. R. Bagavathi Lakshmi
ICSSAS-113
05:00 PM – 05:20 PM
Session – 3 | Parallel Session – 4
Day 1 – 28 May 2026 | 04:00 PM – 05:30 PM
👤
NeoDetect: Real-Time Multimodal Machine Learning for Neonatal Pain Detection
Dr. Megha Trivedi,Dr. Swati Varma,Chaitra Nair,Shruti Pachpor,Prachi Madane,Tanmay Narayankar
ICSSAS-373
04:00 PM – 04:20 PM
👤
Integrate AI and Blockchain to Provide Safe, Real-Time Healthcare Analytics: Enhancing Intelligent Decision Systems
Chandra Doddapalli Ramachandra Reddy ,Mohammad Kanan, Avinash N.Pawar ,Srilakshmi Aluri,Navdeep Singh,R.Shiny
ICSSAS-236
04:20 PM – 04:40 PM
👤
MSF-UNet: Multi-Scale Flow Guided UNet for Enhanced Semantic Change Detection in Remote Sensing Imagery
Manavapati Venkateswarlu,Gaddam Varshith,Kadarla Sumanth,Poojari Vaishnavi,Chintham Saiteja
ICSSAS-393
04:40 PM – 05:00 PM
👤
An Enhanced CNN With Attention Mechanism for Accurate Ad Click Fraud Detection
Akuri Sree Rama Chandra Murthy, Konduri Sadvi, Gonuguntla Mohi Suraj Baba, Bijjam Venkata Nagi Reddy
ICSSAS-124
05:00 PM – 05:20 PM
Session – 4 | Parallel Session – 1
Day 2 – 29 May 2026 | 09:00 AM – 01:00 PM
👤
A Multi-Modal Deep Learning Framework for Post Incident Cyber Threat Analysis in Screen-Recorded Digital Evidence
David Jaison Raj L,Divina T.P
ICSSAS-132
09:00 AM – 09:20 AM
👤
Automated Image-Based Framework for Accurate Jasmine Flower Disease Detection and Classification
Jothi Prakash B S, Barath Kannan D, Pankaj Seervi A, Ranjith Kumar A
ICSSAS-141
09:20 AM – 09:40 AM
👤
Zoodo: An AI and Blockchain Powered Integrated Platform for Veterinary Services and Pet Healthcare
Shahid Shaikh, Aayushee Dhanokar, Khushi Mishra, Pushpi Rani
ICSSAS-131
09:40 AM – 10:00 AM
👤
Active Learning Empowered Sentiment Analysis: An Approach for Optimizing Customer’s Review Sentiment Classification
C. Sushama,Mundlapati Jayakrishna,P. Dileep Kumar,Rangu Lahari,Sholanki Jeethu Singh
ICSSAS-127
10:00 AM – 10:20 AM
👤
Software Defect Prediction Using Static Code Metrics: A Machine Learning Perspective
Almas Begum,Hemalatha D
ICSSAS-121
10:20 AM – 10:40 AM
👤
Reinforcement Learning–Enabled Optimization of BI Server Hardening Across AWS, Azure, and Hybrid Cloud Environments
Bose Pandian Chandran
ICSSAS-120
10:40 AM – 11:00 AM
👤
Real time surface defect detection system for manufacturing industries using high performance embedded systems using FPGA
Sivanandam K,Priyatharshini R,Rajasri S,Ramyasree S
ICSSAS-128
11:00 AM – 11:20 AM
👤
A Hybrid GAN-CNN Approach for Automated Detection and Classification of Lung Diseases from Chest X-Rays
Amritha KS,Rohan PS,Raji Ramachandran
ICSSAS-125
11:20 AM – 11:40 AM
👤
A Hybrid CoAtNet-Based Framework for Automated Knee Osteoarthritis Severity Classification from X-Ray Images
Amitoj Singh,Ambuj Kumar Agarwal,Abhishek Bhattacherjee,Vijeta Chaudhary,Vishal Jain
ICSSAS-085
11:40 AM – 12:00 PM
👤
Automated Knee Osteoarthritis Severity Classification from X-ray Images Using MaxViT-Tiny Model
Amitoj Singh,Ambuj Kumar Agarwal ,Bharat Sharma,Gurpreet Kaur,Vishal Jain
ICSSAS-086
12:00 PM – 12:20 PM
👤
Educonnect : A Secure Mern Based E-Learning Platform For Students
R.Manikandan, K.Sabarinathan, S.Sabintharan, A.Mayakrishnan
ICSSAS-117
12:20 PM – 12:40 PM
👤
Hybrid Deep Learning Framework for Multi-Label Offensive Language Detection and Toxicity Analysis
R.Divya ,S. Riyash ,K. Sanjay Kumar ,V. Sivaprakash ,N. Venkatramanan
ICSSAS-233
12:40 PM – 01:00 PM
Session – 4 | Parallel Session – 2
Day 2 – 29 May 2026 | 09:00 AM – 01:00 PM
👤
Myocardial Infarction Detection From 12-Lead ECG using Deep Learning Approach
K Antony Kumar,Dasari Chandu,Parimi Satwika,Ravi Kumar S,Angeline Lydia,Manivannan D
ICSSAS-184
09:00 AM – 09:20 AM
👤
KEV-Driven Patch Assurance for Cloud Platforms: A Quantitative Model to Reduce Vulnerability Exposure Windows in Federal and Critical-Infrastructure Systems
Shuaib Ahmed
ICSSAS-153
09:20 AM – 09:40 AM
👤
Predictive Analytics in CI/CD Pipelines: Machine Learning to Enhance Deployment Reliability and Performance
Dilliraja Sundar,Yashovardhan Jayaram,Jayant Bhat
ICSSAS-149
09:40 AM – 10:00 AM
👤
Comparative Machine Learning Analysis of Gen Z’s Clothing Consumption Behavior: Predicting Sustainable Fashion Adoption and Expectations in Bangladesh
Sakib Ul Haque, Hasebul Hassan Chowdhury, Shah Kayed Ahmed, Vikibul Jishan, Md.Rafid Hossain, Sudoy Kumer Ghosh
ICSSAS-008
10:00 AM – 10:20 AM
👤
Intelligent Prediction of Population Health Outcomes Induced by Healthcare Facility Waste Using Deep Neural Networks
S. P. Santhoshkumar, Sameena Banu K, K. S. Rekha, L. Mohana Kannan, Sathees Kumar K, Prince Arora
ICSSAS-176
10:20 AM – 10:40 AM
👤
A Scalable Deep Learning-Based Decision Support System for Insurance Claim Fraud Detection
V. Priya ,R. Sai Priya ,R. Sarin Priya
ICSSAS-258
10:40 AM – 11:00 AM
👤
MediSage - AI Driven Prenatal Cardiac and Genetic Disorder Detection
K. Janani,Bhoomika T S,Bindu G R,Chaithanya,Harini H
ICSSAS-265
11:00 AM – 11:20 AM
👤
IOT INTEGRATED PESTICIDE RESIDUE MONITORING FOR SAFER AGRICULTURAL PRACTICES
Vasanthi R, Abinaya V, Tamilselvi P, Nagaarjun V,
ICSSAS-167
11:20 AM – 11:40 AM
👤
Comparative Performance Analysis of Bat Algorithm Optimized Support Vector Machine and Hybrid CNN-BiLSTM for Vibration Signals based Electrical Motor Fault Detection
Gowri Shankar Manivannan,Keerthi Kumar H M,Harsha,Likitha S,Keerthana N,Shilpashri C K
ICSSAS-227
11:40 AM – 12:00 PM
👤
Comparative Performance Analysis of ANN-Based Speed Control for a BLDC Motor
Nandhini D.Dr. Vasudevamurthy S
ICSSAS-209
12:00 PM – 12:20 PM
👤
SATELLITE IMAGE CLASSIFICATION USING RESNET-18 BASED DEEP LEARNING APPROACH
Ashok Reddy Kandula,Mohana Sai Avinash Guduri,Krishnasai Malladi,Sravanthi Bandi,Murali Krishna Gorrepati
ICSSAS-133
12:20 PM – 12:40 PM
👤
Multi-Modal Quantum AI for Rare Disease Prediction: Case Study on Hutchinson – Gilford Progeria Syndrome
HEMALATHA RAAVI,LIKHITHA SETTY,NIKHIL UDDAGIRI,S. S. RAJU THONTA,S. I. PRIYANKA REDDY
ICSSAS-142
12:40 PM – 01:00 PM
Session – 4 | Parallel Session – 3
Day 2 – 29 May 2026 | 09:00 AM – 01:00 PM
👤
A Computational Approach for Modeling and Supporting Student Well-being
Aiswarya S Kumar,S Gopika
ICSSAS-053
09:00 AM – 09:20 AM
👤
NON-INVASIVE BLOOD GROUP IDENTIFICATION USING FINGERPRINT BIOMETRICS AND CONVOLUTIONAL NEURAL NETWORKS
P. Sukumar, V Mythily, Ashwini K, Bharath T, Miththun E
ICSSAS-169
09:20 AM – 09:40 AM
👤
Voting-Based Ensemble Classification for Breast Cancer Diagnosis
Priyanka Das, Rupam Bhattacharya, Manasa Arikarevula, Anushka Guharoy, Nabanita Das, Animesh Kairi
ICSSAS-177
09:40 AM – 10:00 AM
👤
Hybrid Deep Learning and Machine Learning Framework for Automated Detection of Valvular Heart Diseases Using Phonocardiogram Signals
Savitha P,Indumathi N M,Akkash S,Muhammad Younus A,Naajiya K
ICSSAS-226
10:00 AM – 10:20 AM
👤
PaddyNet: An Efficient Deep Convolutional Neural Network for Automated Multi-Class Paddy Leaf Disease Classification
Shivakumar Nethani,Pramod Kumar P
ICSSAS-225
10:20 AM – 10:40 AM
👤
Offline Smart Home Assistant With Voice Control And UI Monitoring Using Raspberry Pi
Dr.M.Ramesh Babu,S.Karuppasamy,R.Lal Arjun
ICSSAS-201
10:40 AM – 11:00 AM
👤
PhishGuard:Intelligent Detection of Phishing Website Using URL and Content Analysis
Mrs.Savitha P,Keerthana R,Mohamed Ashfar J,Logeshkanna R P
ICSSAS-272
11:00 AM – 11:20 AM
👤
CROWDGUARDAI : Smart Crowd Monitoring With Zone Based Re-routing
Uma P, Rudrakshh S, Madhanprasanth R, SowBharanidharan T
ICSSAS-070
11:20 AM – 11:40 AM
👤
EchoHealth AI : Detecting Organ Health From UltraSound Sound Signatures
E. Padma,S. Anand,N.M. Kowseeswarsena,M. Loga Varshini
ICSSAS-220
11:40 AM – 12:00 PM
👤
Real-Time Text-Aware Vision Framework for Detection of Unauthorized Written Materials in Examination Halls
Dr.V. Jamuna,S. Ajith,M. Dinesh,S. Gowsik,R. Abishek
ICSSAS-129
12:00 PM – 12:20 PM
👤
An Explainable Digital Twin Framework with GAN-Based Data Augmentation for Energy-Efficient Colon Cancer Histopathology Analysis
Pardeep Kumar,Robin Prakash Mathur,Harshpreet Kaur,Karan Bajaj,Pravallika Kondapalli
ICSSAS-151
12:20 PM – 12:40 PM
👤
Smart Monitoring and Performance Evaluation of a High-Gain DC–DC Converter Using IoT
S. Apshana Parvin,P. Prathyusha,A. Deepanisha,B. Divya Lakshmi,S. Kiruthika,S. Logeshwari
ICSSAS-273
12:40 PM – 01:00 PM
Session – 4 | Parallel Session – 4
Day 2 – 29 May 2026 | 09:00 AM – 01:00 PM
👤
An Intelligent Machine Learning Framework for Accurate Dropout Prediction in Online E-Learning Environments Using Behavioral Analytics
Mr.Sivanesan A,Soundarya B,Vikram Sreejith,Muhammed Muhsin PT,Thejalakshmi MB,Stiji R
ICSSAS-283
09:00 AM – 09:20 AM
👤
Multi-Level Classification using Ontology based Natural Language Processing Model with Bi-GRU integrated Bi-LSTM for Depression Detection
P Lakshmi Priya, R Vijaya Prakash
ICSSAS-384
09:20 AM – 09:40 AM
👤
Comprehensive Analysis of RTOS-Based Priority Scheduling and Context Switching on ESP32 using Software Simulation
E. Aravindraj,S. Salmathaju,T.S. Rohan,J.Badulla,V.Nagaraja,P.Kowsalya
ICSSAS-247
09:40 AM – 10:00 AM
👤
Noise-Aware Signal Processing Techniques for Quantum-Classical Hybrid Communication Architectures
Rajiv A,Deepak R,Jebasingh Kirubakaran S J,Dr Kamal N,Pravin P,Shanker N R
ICSSAS-371
10:00 AM – 10:20 AM
👤
Spatio-Temporal Graph Neural Networks for Urban Resilience Forecasting
Leelavathi B, Megha J, Anusha S, Manimaran S,Sasi Bhusan Padhi ,Goutam Kumar Mahato
ICSSAS-421
10:20 AM – 10:40 AM
👤
Adaptive Intelligence Routing for High-Density Communication Systems Using Self-Learning Agents
Dr.PriyaVij,Ashu Nayak
ICSSAS-257
10:40 AM – 11:00 AM
👤
LSTM-Enhanced Road Hazard Detection with MQTT-Based V2V Communication for Intelligent Transportation Systems
Akshay A.S.K,Buradagunta Ridwanullah Shaik,M. Gayathri,V. Thenmozhi
ICSSAS-126
11:00 AM – 11:20 AM
👤
Verifiable Encrypted Image Retrieval with Reversible Data Hiding in Cloud Environment
Jagan.U,Uma Maheswari.B,Shiny. R M
ICSSAS-417
11:20 AM – 11:40 AM
👤
Tilde: A Keyboard-Centric Browser for Linux Power Users
Hemanth Krishnakumar, Sandhra Ann, Ivin Joel Abraham, Swaminathan J
ICSSAS-422
11:40 AM – 12:00 PM
👤
A Hybrid CNN-BiLSTM Deep Learning Model for DDoS Attack Detection
Guduru Vikram,Namburi Tejeswara Rao,Bathula Anil Babu
ICSSAS-420
12:00 PM – 12:20 PM
👤
Hybrid Dual-Engine Explainable AI Framework for Early Liver Disease Prediction Integrating Behavioral and Clinical Risk Analytics
Rajkumar.K,Hariharan.K,Surendharan Elango,Arjun.K,Riyas Ismail,Adhil.K.M
ICSSAS-429
12:20 PM – 12:40 PM
👤
Rainfall Prediction using Machine learning:A Comprehensive Analysis
Arza Ram Deepak Sai,Javvadi Sravanthi
ICSSAS-426
12:40 PM – 01:00 PM
Session – 5 | Parallel Session – 1
Day 2 – 29 May 2026 | 02:00 PM – 04:00 PM
👤
Towards Smart Plant Health Management: A Review of AI-Based Detection, Severity, and Recommendation System
Aswathy Ravi ,G Parthasarathy
ICSSAS-150
02:00 PM – 02:20 PM
👤
A Predictive AI Model for Cyber-Risk Scoring in Agile and DevOps Release Management Pipelines
Bose Pandian Chandran
ICSSAS-311
02:20 PM – 02:40 PM
👤
Revolutionizing Intrusion Detection: A Comprehensive Review of AI-Driven Approaches
Radhika.R, Saran Raj Sowrirajan
ICSSAS-136
02:40 PM – 03:00 PM
👤
Towards Reliable Brain Tumor Detection: Merging Advanced Deep Learning Techniques with Explainable AI for Superior Accuracy
Faiza Iram,Mohammed Ali Shaik
ICSSAS-329
03:00 PM – 03:20 PM
👤
ADAPTIVE INTRUSION DETECTION USING ENSEMBLE LEARNING AND CONCEPT DRIFT DETECTION
S. Ranjeeth,Dr. Ayaz Ahmad
ICSSAS-282
03:20 PM – 03:40 PM
👤
A Comprehensive AI Pipeline for Decision-Making in Smart Agriculture Systems Using Multimodal Datasets
Radhika K,Dr K Ramalakshmi,Dr. R. Venkatesan
ICSSAS-158
03:40 PM – 04:00 PM
Session – 5 | Parallel Session – 2
Day 2 – 29 May 2026 | 02:00 PM – 04:00 PM
👤
Low-Cost Edge AI Framework for Crop Disease Monitoring Using IoT Devices
Kishore Kumar M,Ashwin A,Dr. Muthulakshmi A
ICSSAS-154
02:00 PM – 02:20 PM
👤
Multi-Class Integrated Deep Learning Framework for Paddy Leaf Disease Detection
Swagath G, Santhosh Kumar C, Nagameenashree C, Ranjith Kumar A
ICSSAS-165
02:20 PM – 02:40 PM
👤
A Unified Machine Learning Based System for Early Prediction of Multiple Diseases
N. Saikiran, C.Snehalatha, T.Pooja, D. SaiTeja, G. Ravikumar, M Rama
ICSSAS-172
02:40 PM – 03:00 PM
👤
AI-Powered Virtual Nursing Assistant: A Rule-Based Framework for Automated Symptom Analysis and Medical Triage
Braj Kumar,Yogesh Tripathi,Sunil Kumar Patel
ICSSAS-298
03:00 PM – 03:20 PM
👤
Language Diarization System for Bilingual Code-Switched Indian Speech
Bhashyam Lakshmi Sudha, C V S K Soumya, Charitha Kongala, Sachita Korrapati, S Lalitha
ICSSAS-059
03:20 PM – 03:40 PM
👤
Data Science and AI Techniques for Adaptive and Personalized Decision Making Systems
Dr. M. Sivaraman,Dr. R.K. Sudhamathi,S. Bhuvaneshwari,Jhanani R S,Kirankumar K,K.Ramya
ICSSAS-290
03:40 PM – 04:00 PM
Session – 5 | Parallel Session – 3
Day 2 – 29 May 2026 | 02:00 PM – 04:00 PM
👤
Building Age Estimation Using Crack Pattern Analysis
Dr.H.D.Praveena,Godina Ganga Yaswanth Kumar ,Damarla Yashwanth ,Boneni Venkata Sai Chaitanya ,Gaddam Aseesh
ICSSAS-284
02:00 PM – 02:20 PM
👤
Evaluating Privacy-Preserving Techniques for Secure Financial Behavior Classification
Nilesh Mali,Vidyullata Devmane
ICSSAS-253
02:20 PM – 02:40 PM
👤
Machine Learning-Based Prediction of Space Weather Effects on Internet Performance and GNSS Reliability
Franceena Angeline J, Harini D, Suruthika K
ICSSAS-166
02:40 PM – 03:00 PM
👤
Nighttime Wildlife Detection Using Zero-DCE++ Illumination Enhancement and YOLOv8
MARKALA ANJALI, MUNAGALA LIKITHA REDDY, JANAMPALLY SOLOMON PREM SINAI ,PORLA MAHESH, , PUTHETI VENKATA SAI SANDEEP
ICSSAS-256
03:00 PM – 03:20 PM
👤
Zen Switch : Smart Scroll Interceptor for Screen Time Reduction
D.Femi, Keerthi Reddy, CH. Avinash Reddy
ICSSAS-264
03:20 PM – 03:40 PM
👤
Computer-Aided Diagnosis of Gastrointestinal Adenocarcinoma Using Lightweight Deep Learning on Endoscopic Ultrasound Images
Dr.A Kishore Kumar,Anakala Venkata Dhanusha Reddy,Rekapalli Vasudeva,Sandhu Chiranjeevi,Kandyala Bhanu Prakash Naidu
ICSSAS-234
03:40 PM – 04:00 PM
Session – 5 | Parallel Session – 4
Day 2 – 29 May 2026 | 02:00 PM – 04:00 PM
👤
MedBeacon-Guiding Healthcare with Agentic AI
Hinayath Sulthana A,Mithun K,Naveen V,Birundha S
ICSSAS-424
02:00 PM – 02:20 PM
👤
Smart Attendance System Using MERN Stack and Real-Time Face Recognition
Cherukuri Pravalya,Manchala Narendra,Dr. P. Siva Prasad
ICSSAS-436
02:20 PM – 02:40 PM
👤
Medi Sync - Multi Branch Pharmacy Sales and Inventory Management System Using QR Code Technology
T. Bindu Madhavi,Bachu Divya Nagini,Ponduru Varsha,Ede Lahari
ICSSAS-103
02:40 PM – 03:00 PM
👤
A Dual-Sampling Ensemble Framework for Robust Chronic Kidney Disease Prediction
K.Prasannalatha, Jayadeep Pakala, M. Baby Anusha, Suneetha Racharla, Mamidala Subramanyam, T. V. Sai Krishna
ICSSAS-408
03:00 PM – 03:20 PM
👤
A Hierarchical Multi-Modal Framework for Deepfake Detection and Weakly-Supervised Forgery Localization using Celeb-DF
Niharika Sharma,Amit Gupta
ICSSAS-438
03:20 PM – 03:40 PM
👤
Applications of Natural Language Processing (NLP) in Philippine Education Settings: A Literature Review
Michael Marvin P. Cruz ,Dexter G. Dandan,Ken M. Balogo
ICSSAS-431
03:40 PM – 04:00 PM
Session – 6 | Parallel Session – 1
Day 2 – 29 May 2026 | 04:00 PM – 05:30 PM
👤
Conversational Visual Intelligence Chatbot: Merging Object Recognition with Text Understanding for Interactive Image Analysis
SHAIK RAZAK,VENKATESWARULU REDDY,KOLA SUDEEP,SARAKAN ADIKESAVULU,PMD Ali khan
ICSSAS-224
04:00 PM – 04:20 PM
👤
Enhanced Deep Learning Model for Accurate and Consistent Recyclable Waste Classification
M.Ravi kumar,Katam Reddy Likhitha Reddy,Rameswara Reddy Boddu
ICSSAS-241
04:20 PM – 04:40 PM
👤
Design and Physical Implementation of an RV32IM RISC-V Core in 7-nm Technology using Cadence EDA Flow
K. Sathesh,G.Vinod Kumar,P.Venkata Vamsi,J. Vishnu Vardhan,Mr. Praveenkumar chittipolu,V.Nagaraja
ICSSAS-204
04:40 PM – 05:00 PM
👤
An Intelligent Surveillance System for Smoking-Related Risk Detection in Campus Zones
Sathana S,Prawin Kumar R,Dinesh Kumar K,Ranjith Kumar K,Radhika R,Ajeeth A
ICSSAS-189
05:00 PM – 05:20 PM
Session – 6 | Parallel Session – 2
Day 2 – 29 May 2026 | 04:00 PM – 05:30 PM
👤
An Intelligent Layered Detection System For Identifying Cyber Hate using ML and Fuzzy Logic
Ravi Kumar.M,Kowsika T ,Mahalakshmi S,Nivethitha M , Pavithra C
ICSSAS-261
04:00 PM – 04:20 PM
👤
Causal-Aware Federated Neuro-Semantic Capsule Transformer Framework for Robust and Early Prediction of Meningitis
A. Shabana,P. Kavitha
ICSSAS-196
04:20 PM – 04:40 PM
👤
AquaFusion: Hybrid ML–Swarm Intelligence Framework for Reliable UWSN Acoustic Communication
K.Malarkodi,G.Sheeba,Barath Sanjay M, S. Gomathi, Sampath Kumar, Geethanjali S
ICSSAS-155
04:40 PM – 05:00 PM
👤
Performance enhancement in disease detection and classification of paddy plant utilizing deep learning techniques: A comparative analysis
R Sivakumar
ICSSAS-190
05:00 PM – 05:20 PM
Session – 6 | Parallel Session – 3
Day 2 – 29 May 2026 | 04:00 PM – 05:30 PM
👤
The Strategic Value of AI-Driven Physical Identity and Access Management: Establishing Cyber-Physical Zero Trust in Critical Infrastructure
Prudhvi Ananthula,Shruthi Sepuri,Mayank Sethi,
ICSSAS-319
04:00 PM – 04:20 PM
👤
Segmentation And Classification of Brain Tumor Testing Using Deep Learning Algorithm
Syed Ali Fathima K,Dr. D. R. Krithika
ICSSAS-197
04:20 PM – 04:40 PM
👤
Adaptive Deep Learning on Multiclass Intrusion Detection: Sigmoid-Activated GRNN Model with Real-Time Dashboard Integration
Narayana KE,Kiran Teja K P,Priyadarshinee AB
ICSSAS-277
04:40 PM – 05:00 PM
👤
AI-Aided Adaptive Digital Signal Processing Framework of IoT Communication Systemsreal-time Noise Reduction
Gaddam Srujan ,Madri Vijaya Raju,T Jyothsna,Bhukya Arun Kumar
ICSSAS-240
05:00 PM – 05:20 PM
Session – 6 | Parallel Session – 4
Day 2 – 29 May 2026 | 04:00 PM – 05:30 PM
👤
Metaheuristic-Driven Ocular Biomarker Optimization for Glaucoma Classification Using Optic Nerve Head Analysis
,Anjitha P, K. V. Nagaraja, Sajitha Krishnan, Deepa Gupta
ICSSAS-414
04:00 PM – 04:20 PM
👤
Analysis and Detection of Autism Spectrum Disorder Using Machine Learning and Deep Learning Techniques
Bhavana V R,Ravi Kumar V
ICSSAS-433
04:20 PM – 04:40 PM
👤
Sustainable Hybrid CNN–Transformer Framework for Early Esophageal Cancer Detection with Texture Intelligence
S.Kirithika,Sankari Subbaih
ICSSAS-413
04:40 PM – 05:00 PM
👤
A Novel Robotics Design for Campus Path Guiding and Live Tracking System for Visitors in Educational Institutes of Gujarat
Maulik Pithiya,Abhishek Parmar,Sujal Pandya,Shailesh Khant
ICSSAS-432
05:00 PM – 05:20 PM
Session – 7 | Parallel Session – 1
Day 3 – 30 May 2026 | 09:00 AM – 01:00 PM
👤
AI-Powered Waste Detection and Sorting Using Object Detection
Hima Sagar B, A Vibhas Reddy, S Pavan Kumar, Saranya Devi
ICSSAS-246
09:00 AM – 09:20 AM
👤
A Machine Learning Integrated Framework for Automated Civic Complaint Validation and Prioritization in Smart City Governance
Kundeti Satya Naga Gowtham,Mandapalli Venkata Deepak,Mudunuri Anuram Prakash Varma,Vasanthi Munduri,Murukuri P L P D Sravanthi,Sridevi Bonthu
ICSSAS-186
09:20 AM – 09:40 AM
👤
Domain-Aware Transformer with Metadata Fusion for Healthcare Drug Review Sentiment Analysis
B. Varshini,G. Bhanu Prakash,G. Renuka Sai,CH.V.S.N.S. K Mani Teja,Bonthu Sridevi
ICSSAS-185
09:40 AM – 10:00 AM
👤
WarnWave: Real-Time Self-Learning Hand Gesture Recognition System for Civilian Safety in High-Risk Environments
Ravi Patel, Disha Shah, Vishruti Parekh, Madhav Ajwalia
ICSSAS-255
10:00 AM – 10:20 AM
👤
Development of a Smart Pill Detection and Monitoring System
Divya Muralitharan,Sandhya S,Shakthi Shankari T,Sadha Shree R
ICSSAS-207
10:20 AM – 10:40 AM
👤
PCAI-Health: A Personalized Multimodal Framework for Confidence-Aware and Explainable Affective Incongruence-Based Chronic Disease Prediction
Shreenidhi B, Hitesh Pahuja, Jaichandran R , Vinopriya K, R.Kamali, B.Mohanraj
ICSSAS-243
10:40 AM – 11:00 AM
👤
Doctor's Analytical Attendance System For Effective Rural Healthcare Delivery
Stanly Jayaprakash J,Kishorenath G,Dinesh M,Dhanishik G,Dhina S
ICSSAS-228
11:00 AM – 11:20 AM
👤
Autonomous Systems and AI: Real-Time Decision Making in Unstructured Environments
Pankaj Kumar,Pragya Rajput,Kussum,Vishav Pratap Singh,Nongmeikapam Thoiba Singh
ICSSAS-308
11:20 AM – 11:40 AM
👤
Transfer Learning and Synthetic Augmentation for Diabetic Retinopathy Detection on Small Datasets
kavita Lal,M. Deepika,Aenugu Shivajyothi,Vimula Shwetha,Madri Vijaya Raju,D.Chinna Kasireddy
ICSSAS-270
11:40 AM – 12:00 PM
👤
Semantic-Ensemble MCQ Generation: Combining Knowledge Graphs, Semantic Embeddings and LLM Control
Madri Vijaya Raju,Mohd Arshad,D. Chinna Kasireddy,Vimula Shwetha,N Naresh Kumar,C Soumi
ICSSAS-271
12:00 PM – 12:20 PM
👤
Vision-Driven Agentic AI Caretaker for Autonomous Overwatering Prevention in Indoor Money Plants(Epipremnum aureum)
Daya Rameshbhai Thummar
ICSSAS-327
12:20 PM – 12:40 PM
👤
Improving Crowd Emotion Recognition with Multimodal Data and AI
Malla Surendra,Malapati Rishikesh,L. Sujihelen
ICSSAS-254
12:40 PM – 01:00 PM
Session – 7 | Parallel Session – 2
Day 3 – 30 May 2026 | 09:00 AM – 01:00 PM
👤
AI-Driven Reverse-Engineering Frameworks for Legacy Industrial and off-highway Vehicles
Prakashkumar Mangilal Mistry
ICSSAS-318
09:00 AM – 09:20 AM
👤
Comparative Study of Voltage Regulation Techniques in DC Microgrids with Hybrid Energy Storage Systems
Mr.N.Jeyaprakash,Pragathees M,Lakshmi Narayanan A,
ICSSAS-333
09:20 AM – 09:40 AM
👤
Reducing the Semantic Gap in Enhanced CBIR using Deep–Handcrafted Feature Fusion with Iterative Relevance Feed Back
Varkala Satheesh Kumar,Dr Vijaya Chandra Jadala
ICSSAS-305
09:40 AM – 10:00 AM
👤
An AI-Driven Knowledge and Alerting System for Public Health Communication
Rajagopal T K P,Bala Hariharan B,Kandasamy E,Lingesh R,Sentamil Selvan P
ICSSAS-300
10:00 AM – 10:20 AM
👤
GarudanEye: An Intelligent Threat Detection and Response Platform
MOHANAPRIYA D,ARUN K,CHANDRU V,DHARSINI C,JAYAPRIYA M
ICSSAS-299
10:20 AM – 10:40 AM
👤
A Data-Driven Framework for Evaluating Smart Technologies for Sustainable Societal Impact
P. Shopa,Moorthy Agoramoorthy
ICSSAS-279
10:40 AM – 11:00 AM
👤
A Generalized Deep Learning Framework for Enhancing Colorectal Cancer Diagnosis through Transfer Learning and Cross-Dataset Validation
K. Muthuchamy,S K.Piramu Preethika
ICSSAS-294
11:00 AM – 11:20 AM
👤
Design and Implementation of Energy Consumption Forecasting Using Deep Neural Networks
J.Bhuvaneswari,Dr.Vigilson Prem M,V.TamilSelvi,J.Elavarasi
ICSSAS-295
11:20 AM – 11:40 AM
👤
HYBRID NEURO-FUZZY MODEL FOR EARTHQUAKE DAMAGE PREDICTION
Shanmugasundaram Hariharan,B. Saketh Raj,D. Obulesu
ICSSAS-340
11:40 AM – 12:00 PM
👤
Life Line: A Location-Based Mobile Blood Donation Management System
V. Baby Shalini,B.P. Gokula Priyan,Uppada Bharathi,Siddhesh Sunil Surve,M.V. Amuthan
ICSSAS-297
12:00 PM – 12:20 PM
👤
IoT aware Quartile Normalized Projective Gradient Descent Deep artificial Learning Classifier for Plant Leaf Disease Prediction
Sreelakshmi Kakkat Parameswaran,R. Parameswari
ICSSAS-287
12:20 PM – 12:40 PM
👤
An Advanced Deep Learning Web Framework for the Automated Detection of AI-Generated Videos on Instagram
Prof. MERPHIN,NIKHIL S,ARSHATH AARIF B,VISHAL K,YOGESHWARAN A
ICSSAS-274
12:40 PM – 01:00 PM
Session – 7 | Parallel Session – 3
Day 3 – 30 May 2026 | 09:00 AM – 01:00 PM
👤
MedFusion: A Unified AI Framework for Patient Interaction and Clinical Intelligence
R Hemanth Kumar,Sachin R, Vishnu Prasad B, Himanshu Yadav, Sajitha Krishnan
ICSSAS-306
09:00 AM – 09:20 AM
👤
AgroVision AI: Precision Crop Management with Predictive Sustainability Insights
Shilpa V,Rahul Kumar,Rishiraj Singh,Chethan Gowda HP,Kailash Patel
ICSSAS-332
09:20 AM – 09:40 AM
👤
Comparative Structural and Semantic Evaluation of Fine-Tuned Large Language Models for UML Activity Diagram Generation
Rahul Varma U,Veena G,Prasanth V Nair,Parthip R R,
ICSSAS-307
09:40 AM – 10:00 AM
👤
XAI-Enhanced YOLOv10 for Real-Time Crop-Weed Classification in Precision Agriculture
Chellaswamy C ,Balaji E,Dayana Peter T,Juliet Ashiha J ,Kalpana S,Akshara M
ICSSAS-276
10:00 AM – 10:20 AM
👤
Enhancing Election Integrity: Blockchain Core based E-Voting Solution
R. Anto Pravin,Akshai Kumar T N,Chandru K,Danush S,Arun Prasanth S
ICSSAS-244
10:20 AM – 10:40 AM
👤
Multimodal Soil Classification Using Self-Supervised Learning and Adaptive Expert Fusion
Nallagattu Rahul, Manne Leela Naresh, Ambati Koti Reddy, Dr. Aiswarya S Kumar
ICSSAS-310
10:40 AM – 11:00 AM
👤
A Comprehensive Review and Gap Analysis of Machine Learning and Deep Learning Approaches for Chronic Kidney Disease Progression Prediction
G. Kavitha,Mercy Paul Selvan
ICSSAS-289
11:00 AM – 11:20 AM
👤
A Transformer–CNN Fusion Model for Automated Cardiac Image Interpretation and Predictive Risk Stratification in Clinical Heart Care
Vijayalakshmi R,V Sheeja Kumari,Muthuvairavan Pillai,Rajagopal K,P sivakumar,Ramesh Kumar S
ICSSAS-199
11:20 AM – 11:40 AM
👤
Ultimate Machine Learning–Driven AI Chat Assistant Framework for Advanced Conversational Intelligence
Simranpreet Kaur,Akshat Sood,Lovedeep Kaur,Abhishek Kumar,Sachin Ahuja
ICSSAS-314
11:40 AM – 12:00 PM
👤
Heart Disease Prediction Using Retinal Fundus Images and Multimodal Deep Learning
HEMANAND CHITTAPRAGADA ,SRINIVAS CHODAGAM ,V. AJAY KUMAR ,G. ASHOK RAJU,B. DHARMATEJA,N. ADARSH
ICSSAS-325
12:00 PM – 12:20 PM
👤
Immunological Profiling and Stacking Ensemble-Based Multi-Class Classification of Autoimmune Rheumatic Diseases: Integrating Serological Biomarkers with Advanced Machine Learning for Precision Diagnosis
Dhivya,Dr.K.Anita Davamani
ICSSAS-320
12:20 PM – 12:40 PM
👤
AI-powered Hand Sign Language Recognition
A. Koteswara Rao,Y. Manikanta,SK. Farhana,P. Ushasree
ICSSAS-218
12:40 PM – 01:00 PM
Session – 7 | Parallel Session – 4
Day 3 – 30 May 2026 | 09:00 AM – 01:00 PM
👤
Fusion-Based Multimodal Biomarker Framework for Parkinson’s Disease Detection
Suvetha SP,V Divya,M. Gayathri,V. Thenmozhi,Charan KK,Charanya k k
ICSSAS-260
09:00 AM – 09:20 AM
👤
Temporal-Semantic Unsupervised Framework for Coordinated Fake Review Detection Using SBERT with AI
V P Leena, J Arun, T Nila, S Preethika, M Priya Dharshini, K Pratheepa
ICSSAS-446
09:20 AM – 09:40 AM
👤
A Progressive Deep Learning Pipeline with Attention-Enhanced Modelling for Multiclass Liver Histopathology Classification
,Devansh Kaila, Pavan Sankar, Arjun Babu, Dr. Deepa Gupta, Sajitha Krishnan
ICSSAS-435
09:40 AM – 10:00 AM
👤
A Survey on ABCDE Rule based Melanoma Detection
A Koteswara Rao,B Prasad
ICSSAS-418
10:00 AM – 10:20 AM
👤
Text-to-Video Generation using AnimateDiff and Temporal Diffusion Models
P.V. Sateesh Kumar,N. Lakshmi Narasimha Reddy,I. Mahidar Reddy,N. Anil
ICSSAS-427
10:20 AM – 10:40 AM
👤
An Efficient Extractive-Abstractive Summarization Model Using Transformer-Based Architectures
Amit Anil Dantal, Dr. Kapil B. Kadam
ICSSAS-443
10:40 AM – 11:00 AM
👤
A Robust Malware Image Classification Framework Using Multi-Model Learning Approaches
Dr M L Sworna Kokila ,Dr.S.Nithya ,A. Sheeladevi ,Dr. R.Rajasree,J. Relin Francis Raj ,R.Sarala
ICSSAS-415
11:00 AM – 11:20 AM
👤
An Adaptive Hybrid Deep Learning Framework for Real-Time Anomaly Detection in IoT Using Rolling Statistics and LSTM
Panjatcharam V G,Dr. Selvanayaki K
ICSSAS-425
11:20 AM – 11:40 AM
👤
An Explainable AI Framework for Multi-Modal Healthcare Diagnosis: Integrating Grad-CAM and SHAP for Clinical Trust
Kasha Srilekha, Keerthana S, Smt.G.Kavitha
ICSSAS-444
11:40 AM – 12:00 PM
👤
IoT based Smart Solar Panel Monitoring and Fault Detection with Weather-Aware Physics Informed Machine Learning
Rukmani Devi D,Shanthi K G,S.Santhi,Arockia Divya Dharshini J,Akshaya Lakshmi M M,Arul Mariammal N
ICSSAS-460
12:00 PM – 12:20 PM
👤
An AI-powered Q-Paper Generation and Bloom Level Validation Using LLM-Based Semantic Analysis
Sravanthi Vemulapalli,comJupalli Narasimha Rao,comChengalvala Sethu Sriya,M. S. Nirmal Kumar,K. Varada Rajkumar,Kotturi Adarsh
ICSSAS-455
12:20 PM – 12:40 PM
👤
Smart Hiring Framework: Leveraging NLP, Predictive Analytics, and Bias Mitigation for Next-Generation Recruitment
P Prabu , V Ashok Kumar , P Glory Julia , S Reshma , K Mugunthan , S A Tharun Vishwa
ICSSAS-459
12:40 PM – 01:00 PM
Session – 8 | Parallel Session – 1
Day 3 – 30 May 2026 | 02:00 PM – 04:00 PM
👤
Multimodal Thoracic Disease Diagnosis
S. Udhaya Sankari, Sai Samarth Gangam, B.Saranya Devi
ICSSAS-148
02:00 PM – 02:20 PM
👤
HIGH ACCURACY PHISHING URL DETECTION AND PREVENTION SYSTEM USING TRANSFORMER AND LIGHTGBM MODELS WITH REAL TIME USER ALERTS
V.Gopinath,R.Deebika,S.Hemalatha,Harshitha N,Gayathri M,Bhuvaneshwari P
ICSSAS-100
02:20 PM – 02:40 PM
👤
Anatomy-Guided Context-Gated Deep Network for Lung Nodule Localization and Segmentation in CT
Bandaru Amrutha Raju, venkataramana veeramsetty
ICSSAS-140
02:40 PM – 03:00 PM
👤
A Live Network Attack Detection System Employing Self-Adjusting And Interpretable Machine Learning Techniques
Shaik Ali Moon, Balajee Maram, B V Srinivasulu, Pamuri Vijaya Kumar Reddy
ICSSAS-343
03:00 PM – 03:20 PM
👤
AI-Augmented Decision Governance in Compliance-Critical Enterprise Workflow Systems: Implications for Leadership and Decision-Making Models in Mid-Sized Enterprises
Sidharth Choudhary, Shruthi Sepuri
ICSSAS-347
03:20 PM – 03:40 PM
👤
Secure and Interpretable Clinical Decision Systems Through Hybrid Privacy-Preserving Fairness Control and Adversarial Robustness
Kamigari Mounika,Vupulluri Sudha Rani,Dr.B.Sunil Srinivas
ICSSAS-357
03:40 PM – 04:00 PM
Session – 8 | Parallel Session – 2
Day 3 – 30 May 2026 | 02:00 PM – 04:00 PM
👤
Handwritten Kannada Text Recognition and Correction Using YOLO Deep Learning for Primary Education
Soujanya Kelaginamani,Paramesh G,Kiran Kumar K V
ICSSAS-324
02:00 PM – 02:20 PM
👤
Impact of Data Preprocessing Techniques on Machine Learning-based Cardiac Disease Prediction
Vyvidh S Krishna, Ganesh Krishna, Abhai A, Aravind Krishnan, Sarath S
ICSSAS-268
02:20 PM – 02:40 PM
👤
Transforming Multicast for 5G: Architectures,Challenges, and Emerging Solutions
Sahiti Vankayalapati,A Doondi Bala Saraswathi,P Krishna Hridayesh Kumar,Raveena S,T Sai Nikhil,B Sudiksha Naidu
ICSSAS-349
02:40 PM – 03:00 PM
👤
Diagnosing and Mitigating Multihop QA failures in Small Language Models with Memory Injection
Rahul H Nair, Harikrishnan S, Devapriya S, Radhu Krishna R
ICSSAS-338
03:00 PM – 03:20 PM
👤
IoT-Enabled Wireless Sensor Network for Real-Time Agricultural Monitoring and Efficient Water Optimization
T.AnandhanT.Anandhan,Moorthy Agoramoorthy
ICSSAS-278
03:20 PM – 03:40 PM
👤
Intelligent Traffic Congestion Detection and VLAN-Based Network Optimization Using Cisco Packet Tracer and Diagnostic Tools
RAKESH M,CHANDRAPPA S,DARSHAN SINGHGURU PRASAD M S ,ADITYA PAI H,RAJESH I S
ICSSAS-303
03:40 PM – 04:00 PM
Session – 8 | Parallel Session – 3
Day 3 – 30 May 2026 | 02:00 PM – 04:00 PM
👤
Design of Single-Cell SRAM and 8*8 SRAM on Virtuoso Cadence
Happila T, Anbarasan G, Gouthamraj D, Kamesh R, Thameezudeen T
ICSSAS-039
02:00 PM – 02:20 PM
👤
Survey on Retrieval-Augmented Generation Techniques for Patient Note Summarization and Patient-Specific Querying
Sharvil Chirputkar,Vaibhav Rahalkar,Prathamesh Malu,Soham Phadke,Deepali Salapurkar
ICSSAS-341
02:20 PM – 02:40 PM
👤
IoT-Enabled Data Monitoring and Visualization System using ESP32-S3-WROOM-1 with MQTT Protocol
Abha Marathe,Srushti Sapkal,Sarvesh Nandanwar,Vaidehi Shirurkar,Amol Manal
ICSSAS-293
02:40 PM – 03:00 PM
👤
A Hybrid Intelligent Framework for Scalable and Secure Data Governance in Cloud-Native Banking Systems
V Sivakumar Kakaraparti, Vupulluri Sudha Rani
ICSSAS-394
03:00 PM – 03:20 PM
👤
A Hybrid Intelligent Framework for Scalable Compliance Enforcement Across Multi-Regulatory Banking Standards
V Sivakumar Kakaraparti, Vupulluri Sudha Rani
ICSSAS-395
03:20 PM – 03:40 PM
👤
Deep Learning-Based Smart Classifier for Medicinal Fruits, Roots, and Leaf Species
D. Kavinkumar, Abhinav Suresh, M. Akhila, Dhilip.M, D Preethishri
ICSSAS-345
03:40 PM – 04:00 PM
Session – 8 | Parallel Session – 4
Day 3 – 30 May 2026 | 02:00 PM – 04:00 PM
👤
A Deep Learning-Driven IoT Framework for Energy-Optimized Smart EV Charging
Kumar C,Hephzibah Beulah E,Inbavalli N,Iswarya S,Kaviya G,Lakshmipriya B
ICSSAS-453
02:00 PM – 02:20 PM
👤
An Attention-Driven Deep Learning Framework for IoT-Based Underground Cable Fault Management
"Karthikeyan V,Manju A,Nandhini M,Pavithra R,Pooja ,Ranjitha S"
ICSSAS-454
02:20 PM – 02:40 PM
👤
Advanced Deep Learning Approach for Multi-Factor Authentication in Smart IoT Door Lock Systems
Sr.Catherina Mary J ,Priyadharshini K ,Reena Mary Joisy A,Saritha B,Subashini M,Swetha S
ICSSAS-447
02:40 PM – 03:00 PM
👤
A Robust IoT-Edge AI Framework for Real-Time Industrial Fire Prevention Using Gas Sensor-Based Anomaly Detection
Sumitha N ,Subikshitha S,Roshini V,Sadha M,Sathya P,Muthulakshmi V
ICSSAS-448
03:00 PM – 03:20 PM
👤
Machine Learning-Based Smart Industrial AQI Monitoring for Predictive Air Quality Assessment
Ezhilarasi M ,Sumithra S,Supriya K,Sandhiya S,Sivaranjani C,Karthika S
ICSSAS-449
03:20 PM – 03:40 PM
👤
A Smart IoT-Cloud Framework for Real-TimeVisitor Monitoring and Hospital Entry Management
Swathi K,Mahalakshmi R,Saranya S,Vinothini V,Roja PJ,Nathiya K
ICSSAS-450
03:40 PM – 04:00 PM
Session – 9 | Parallel Session – 1
Day 3 – 30 May 2026 | 04:00 PM – 05:30 PM
👤
Interpretable Transformers for Bioinformatics-Driven Protein Subcellular Localization
Sandeep M,Vihashini R,Darshini K,Joshika S,Deepika D,S Anandaraj
ICSSAS-195
04:00 PM – 04:20 PM
👤
Towards Transparent Blue Carbon Markets:A Blockchain-Enabled Digital MRV Framework with ML-Based Carbon Estimation
Vaishali Hirlekar,Balajee Maram
ICSSAS-365
04:20 PM – 04:40 PM
👤
Explainable Machine Learning-Based Multiclass Epilepsy Prediction Using Clinical Features and Model Interpretability Techniques
Meenakshi Sundaram,S. Vairachilai,Shri Venkatesh Babu Bharaneedharan,A. Murugeswari
ICSSAS-351
04:40 PM – 05:00 PM
👤
A HYBRID MAML–QAOA FRAMEWORK FOR ADAPTIVE NETWORK INTRUSION DETECTION
Lakshmi Alekhya Pedarla, Chaitanya Vasu Tapasvi Puli
ICSSAS-346
05:00 PM – 05:20 PM
Session – 9 | Parallel Session – 2
Day 3 – 30 May 2026 | 04:00 PM – 05:30 PM
👤
Causal Digital Twin Networks for Interpretable Cardiac Abnormality Detection through Topology-Aware Morphological Inference and Counterfactual Hemodynamic Simulations
P Jaganmohan ,Sudha Rani V ,P. Sridhar
ICSSAS-356
04:00 PM – 04:20 PM
👤
Adversarial Machine Learning: Detecting and Mitigating Attacks on AI Systems
Pankaj Kumar,Harkamal kaur,Natali Singla,Shivani,Ankita,Nongmeikapam Thoiba Singh
ICSSAS-344
04:20 PM – 04:40 PM
👤
Enhancing Social Media Trust: Deep Learning Models for Fake News Classification
J.R.V. Jeny, Gangadevi Sanjana, Velundandi Santhoshini, Padira Uday Kiran Reddy, Koyyada SaiTeja Goud
ICSSAS-348
04:40 PM – 05:00 PM
👤
Optimization enabled Neural Network for early Prediction of ICU Admission
Abhishek Patil,Yuvraj Patil
ICSSAS-354
05:00 PM – 05:20 PM
Session – 9 | Parallel Session – 3
Day 3 – 30 May 2026 | 04:00 PM – 05:30 PM
👤
Enhancing Phishing Detection using Deep Learning Models
Soumi C ,Harika Pillikandla,Prasanth Kumar Reddy,Naga Divya Vangala,Ahamed Hamza Shaik
ICSSAS-391
04:00 PM – 04:20 PM
👤
AI-Driven Intrusion Detection in Multi-Cloud Environments: A Proposed Algorithm and Implementation Framework
Mandavilli Kavya,Dr. T. Sampath Kumar
ICSSAS-366
04:20 PM – 04:40 PM
👤
Context-aware fine-tuned pre-trained transformer model for patent phrase matching
Dr Kranti Vithal Ghag,Dr Balajee Maram,Mr Tarun Parkar,Mrs Neeta Chavan
ICSSAS-367
04:40 PM – 05:00 PM
👤
Multi-Objective Smart Material Optimisation in Manufacturing Systems using an Unsupervised Learning Framework
E. Aravindaraj,L. Natrayan,
ICSSAS-368
05:00 PM – 05:20 PM
Session – 9 | Parallel Session – 4
Day 3 – 30 May 2026 | 04:00 PM – 05:30 PM
👤
A Hybrid ML-Driven IoT-Cloud Framework for Soil Moisture Monitoring and Smart Irrigation
Solaiyammal K,Srithika K,Shifana A,Vijayashree A,Anitha P,
ICSSAS-451
04:00 PM – 04:20 PM
👤
A Deep Learning-Driven IoT-Cloud Framework for Real-Time Irrigation Monitoring and Automation
Sindhuja D,Meenatchi S,Hariharapriya R E,Kalainandhini S,Abinaya V,Shakira J
ICSSAS-452
04:20 PM – 04:40 PM
👤
Machine Learning-Based Early Detection of Chronic Kidney Disease Using Clinical and Laboratory Data
Gundala Nageswara Rao,Shaik Meera Raziya,Karpurapu Jayasri,Komatineni Krishna Vamsi
ICSSAS-458
04:40 PM – 05:00 PM
👤
A Performance Evaluation of 1D CNN–Self-Attention and Ensemble Classification for Multilingual Speech based Parkinson’s Disease Detection
Inderjeet Singh,Dr Sanjay Singla
ICSSAS-467
05:00 PM – 05:20 PM