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ICSSAS 2026
4th International Conference on
Self Sustainable Artificial Intelligence Systems
28-30, May 2026
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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 – 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 – 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 – 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
Shree Smeka J, V Sheeja Kumari, S.Vidhya, Gajalakshmi S, S. P. Santhoshkumar, K. Sivasakthi
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 – 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 – 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
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 – 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,Srinivas Chennupati,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 – 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
Session – 9 | Parallel Session – 1
Day 3 – 30 May 2026 | 04:00 PM – 05:30 PM
👤
Interpretable Transformers for Bioinformatics-Driven Protein Subcellular Localization
Vihashini R,Renukadevi R,Darshini K,Joshika S,Priyanka S,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 Kuma,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
👤
Adaptive Animated Oat Optimization Based Neural Network for Early Prediction of Intensive Care Unit Admission in Emergency Department Patients Using Patient Monitoring Data
Abhishek Patil,Yuvraj Patil
ICSSAS-354
05:00 PM – 05:20 PM