We are pleased to invite you to attend the ITI 2025 Online on Google Meet. This page includes all of the information on the ITI 2025 program schedule. Click each date below for the ITI 2025 daily program schedule.
As a Technical Session Presenter, please find detailed instructions below to assist you with logging in and navigating for your technical paper session. These instructions must be read prior to logging in to your session/keynotes.
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Inauguration (Hybrid Mode) |
10:00 – 10:30 (IST) | Join |
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Keynote Talk Sessions - 1 (Online Mode via Google Meet)
Session Chair: Prof. Debasish Bhattacharya, Professor National Institute of Technology (NIT), Agartala |
10:30 – 11:30 (IST) | Join |
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Integrating EAM and Geospatial Intelligence: A Spatially-Driven Future for Accurate and Efficient Asset Maintenance. |
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Optimizing Data Infrastructure: Cloud Migration Strategies and Technical Innovations |
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Keynote Talk Sessions - 2 (Online Mode via Google Meet)
Session Chair: Prof. Uttam Kumar Bera, Professor, National Institute of Technology (NIT), Agartala |
10:30 – 11:30 (IST) | Join |
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Establishing Zero-Trust Security at the Edge with Hardware-Rooted Device Identity |
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Hyper Personalization using Data Streaming, Real Time Analytics and AL/ML |
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Keynote Talk Sessions - 3 (Online Mode via Google Meet)
Session Chair: Prof. Mitali Saha, Professor, National Institute of Technology (NIT), Agartala |
10:30 – 11:30 (IST) | Join |
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Modernizing API Gateways for the FinTech Era: Building Intelligent, Secure, and Scalable Ecosystems |
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Operationalizing Data Quality at Scale in AWS |
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Keynote Talk Sessions - 4 (Online Mode via Google Meet)
Session Chair: Prof. Debasis Neogi, Professor, National Institute of Technology (NIT), Agartala |
10:30 – 11:30 (IST) | Join |
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From Transaction to Relationship: Leveraging Communication to Drive Pharmacy Profitability and Patient Loyalty |
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Building Trustworthy and Reliable AI Systems: Data Quality, Monitoring, and Real-World Deployment |
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TS 01: Artificial Intelligence and Machine Learning (Online Mode via Google Meet) Session Chair 1: Dr. Chandan Kumar Shiva, Associate Professor, SR University, Warangal Session Chair 2: Dr. Panduranga Vital Terlapu, Professor, Aditya Institute of Technology and Management (AITAM), Tekkali, Srikakulam, Andhra Pradesh, India |
12:00 - 13:30 (IST) | Join |
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395 |
Integrated Sentiment Analysis with BERT for Enhanced Hybrid Recommendation Systems |
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419 |
An Explainable AI System for Real-Time Disease Prediction in IoT-enabled Smart Healthcare |
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511 |
A Hybrid Deep Learning and Explainable AI Framework for Crop Disease Prediction: Leveraging CNN-RNN, Transfer Learning, and GAN-Based Augmentation |
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519 |
Legal Judgment Prediction using Bias Aware Large Language Models |
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542 |
Melanoma Detection with CNN–ViT Fusion: A Deep Learning Framework for Dermoscopic Image Analysis |
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562 |
GlaucoNet: CNN with Spatial Attention for Early Glaucoma Detection using Fundus Images |
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Enhancing Lung Cancer Detection with Vision Transformers |
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TS 02: Cybersecurity and Privacy (Online Mode via Google Meet) Session Chair 1: Dr Manohar M, Associate Professor, CHRIST(Deemed to be University), Bangalore. Session Chair 2: Dr. Sayanta Chakraborty, Assistant Professor, National Institute of Technology (NIT), Agartala |
12:00 - 13:30 (IST) | Join |
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538 |
Observability-Driven Release Strategies: Telemetry That Triggers Rollouts |
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555 |
Fusion-Based Data Poisoning Detection for Scalable and Interpretable ML Security |
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594 |
Quantum Resistant Ml Watermark for Video Content |
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723 |
Enhanced SMS Spam Classification using a Novel Weighted Loss Hybrid BERT-LSTM Model |
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229 |
Dynamic INT8 Quantization of YOLOv12 for Efficient Weed-Crop Detection on Edge Devices |
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232 |
SDXL-BERT: Enhancing Text-to-Image Generation for Interior Design through Semantic Prompt Optimization |
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271 |
Early Detection of Anemia using Multi-Modal Embedded Intelligence System for Real-Time Health Screening |
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TS 03: Data Science and Big Data Analytics (Online Mode via Google Meet) Session Chair 1: Dr. Mausumi Goswami, Associate Professor, CHRIST(Deemed to be University), Bangalore. Session Chair 2: Dr. Paramvir Singh, Assistant Professor, National Institute of Technology (NIT), Agartala Session Chair 3: Dr. Rahul Johari, Associate Professor, Guru Gobind Singh Indraprastha University |
12:00 - 13:30 (IST) | Join |
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346 |
Cloud System Logs Analysis With NLP and XGBoost Optimized by Adapted Sine Cosine Algorithm |
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574 |
Performance Evaluation of CNN Architectures for Multi-label Chest X-ray Classification on ChestMNIST |
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520 |
Removal of Reactive Dye using Polymeric Nanocomposite Membrane |
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552 |
CrisisDetect+: Crisis Monitoring Through Sentiment and Network-Based Social Media Analysis |
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567 |
Financial Inclusion among Women Workers of Ayyankali Urban Employment Guarantee Scheme: Challenges during COVID-19 Pandemic |
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586 |
Optimizing Fuzzy Clustering Algorithms through Multi Objective Approaches: Improving Accuracy, Validity and Computational Efficiency |
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633 |
Unified Multi-Broker Trading Platform: A Comprehensive Study of Machine Learning-Driven Intelligent Portfolio Management Systems |
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TS 04: Intelligent Systems (Online Mode via Google Meet) Session Chair 1: Dr. Puneet Bansal, Associate Professor, ECE, UIET, Kurukshetra University, Kurukshetra, Haryana Session Chair 2: Dr. Arshia Kaul, Associate Lecturer, The University of Melbourne, Melbourne Australia |
12:00 - 13:30 (IST) | Join |
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214 |
A Hybrid IoT-Based Architecture for Intelligent Home Security and Automation using Multi-Modal Authentication and Real-Time IoT Monitoring |
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340 |
AirSense: A Smart Pollution Monitoring System |
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454 |
Advanced Multi-User Remote Laboratory System with Intelligent Pipelined Scheduling for Engineering Education: A Comprehensive Framework for LabVIEW-Based Virtual Instrumentation |
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430 |
A Vision-Based End-to-End System for Prediction of Steering Angle and Speed of Autonomous Vehicle Under Dynamic Environments |
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477 |
Development of an Intelligent Dustbin System for Automated Waste Segregation and Monitoring |
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480 |
Offloading Performance for UAV-assisted MEC with RSMA-enabled Ambient Backscatter Communication in IoT Network |
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Keynote Talk Sessions - 5 (Online Mode via Google Meet)
Session Chair: Prof. Mitali Saha, Professor, National Institute of Technology (NIT), Agartala |
08:30 – 10:30 (IST) | Join |
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Privacy First Predictive Maintenance for Industry 4.0 |
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The Hidden Link: Reimagining HBM Through DRAM Training Intelligence |
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From Data to Decision: Building the Intelligent Enterprise of Tomorrow |
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AI-Driven Data Engineering and Cloud Architecture: Building Intelligent and Sustainable Data Ecosystems |
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Keynote Talk Sessions - 6 (Online Mode via Google Meet)
Session Chair: Prof. Sima Ghosh, Professor, National Institute of Technology (NIT), Agartala |
08:30 – 10:30 (IST) | Join |
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AI Driven Data Quality: Building Trustworthy and Self-Learning Data Ecosystems for the Future |
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When ETL Tests itself: The Rise of Autonomous Data Quality |
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Cloud & AI-Powered Retail: The Next Era of Intelligent Commerce Platforms |
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Intelligent Automation and AI-Ops: Re-Imagining Cloud Data Platforms for Next-Generation Enterprises |
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Keynote Talk Sessions - 7 (Online Mode via Google Meet)
Session Chair: Prof. John Debbarma, Professor, National Institute of Technology (NIT), Agartala |
08:30 – 10:30 (IST) | Join |
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Modern App Architectures for Scalable, Privacy-First Ad Delivery |
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AI-Powered Real-Time Data Systems for Digital Finance |
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AI Intelligence: Shaping the Future of Human-Centric Innovation |
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Agentic AI: Architecting MCP Client & Server for Autonomous Interaction and Ecosystem Scalability. |
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Keynote Talk Sessions - 8 (Online Mode via Google Meet)
Session Chair: Prof. Paritosh Bhattacharya, Professor, National Institute of Technology (NIT), Agartala |
08:30 – 11:00 (IST) | Join |
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Zero Trust Effects on AI and ML Workload Performance |
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End-to-End PeopleSoft Inbound File Automation Using GoAnywhere, Control-M, and Integrated Reporting |
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Modernizing U.S. Healthcare Financial Systems: A Unified HIGLAS Data Lakehouse for National Efficiency and Accountability |
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Beyond Automation: Designing Self-Healing, Zero-Downtime Platforms with Kubernetes and Terraform |
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AI-Powered Data Architecture: How Intelligent Systems Transform Data Quality, Classification, and Enterprise Governance |
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Keynote Talk Sessions - 9 (Online Mode via Google Meet)
Session Chair: Prof. Mukesh K Sharma, Professor, CCS University, Meerut |
08:30 – 10:30 (IST) | Join |
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From Legacy to Intelligence: Modernizing Enterprise Payment Platforms with AI-Enabled Site Reliability Engineering |
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Advances in scalable API platforms: AI-Driven API Optimization |
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The Future of Digital Supply Chains: Prescriptive and Autonomous Decision Making |
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An AI-Based Framework for Smarter and Faster Data Migration in SAP S/4HANA |
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Keynote Talk Sessions - 10 (Online Mode via Google Meet) | 08:30 – 10:30 (IST) | Join |
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Architecting Intelligent Enterprise Systems: A Framework for Modernizing Complex Digital Landscapes |
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The Autonomy - Compliance Paradox: Architecting Zero-Trust Agentic Ecosystems Across the Multi-Cloud |
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AI-Powered Financial Forecasting System for Enhanced Strategic Decision-Making |
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Omnichannel Financial Services: Bridging Digital Banking and Retail Networks. |
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TS 05: Artificial Intelligence and Machine Learning and Invited Talks (Online Mode via Google Meet) Session Chair 1: Mr. Chaitanya Kulkarni, Independent Researcher, IEEE Session Chair 2: Mr. Amit Kumar Padhy, Independent Researcher, IEEE Session Chair 3: Mr. Mohammed Nayeem, Franciscan Health / Elevance Systems |
10:30 - 12:30 (IST) | Join |
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Invited Talk Intelligent Infrastructure Orchestration: Bridging Classical Systems with AI-Native Architectures for Enterprise-Scale Application Delivery |
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Invited Talk Defending the AI-Powered Commerce Stack: A Security Framework for Prompt Injection, Review Integrity, and Privacy in Gen AI Retail Systems |
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579 |
Lightweight Convolutional Neural Network for Visual Image Reconstruction from fMRI using Limited Data. |
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589 |
A Review of Deep Learning Techniques for Thyroid Nodule Detection |
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593 |
Residual Support Vector Machine-Based Novel Classification Framework for Enhanced Fracture Detection in Steel Samples |
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598 |
Prototype-Enhanced UNeXt: Lightweight Medical Image Segmentation with Efficiency Benchmarks |
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614 |
An Integrated Approach to Conversational Avatars/Models |
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410 |
A Deep Dive into Cotton Disease Detection using Convolutional and Transformer Networks |
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TS 06: Data Science and Big Data Analytics and Invited Talks (Online Mode via Google Meet) Session Chair 1: Mr. Sandeep Shivam, Independent Researcher, IEEE Session Chair 2: Mr. Pavan Nutalapati, Independent Researcher, IEEE Session Chair 3: Mr. Nishanth Prakash, Principal Member of Technical Staff, Oracle, USA |
10:30 - 12:30 (IST) | Join |
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Invited Talk AI Augmented Data Modeling for Scalable Semantic Layer |
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Invited Talk Quantum Computing and Cybersecurity: Navigating the Next Frontier |
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880 |
Fusion-Net: Basic Multimodal Fusion for COVID-19 Diagnosis |
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640 |
Interpretable Flow-Based Classification of Instant Messaging Applications using TabNet |
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749 |
Flexible Distributional Regression for Remaining Useful Life: GAMLSS Applications to PHM 2012 and NASA CMAPSS |
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760 |
A Robust GAMLSS Approach for Modeling Indian Demographic Rates: A Comparative Study Highlighting the Gompertz Distribution |
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763 |
A Multimodal AI Framework for Real-Time Flood Assessment in Bihar using Remote Sensing and Social Media Data |
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794 |
Scalable Big Data Analytics for IoT-Enabled Healthcare Systems |
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816 |
Seasonal Snowfall Prediction in Gulmarg, Jammu and Kashmir Using Hybrid ANFIS-GWO Approach |
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TS 07: Intelligent Systems (Online Mode via Google Meet) Session Chair 1: Mr. Chandrashekhar Medicherla, Independent Researcher, IEEE Session Chair 2: Mr. Tejas Pravinbhai Patel, Independent Researcher, IEEE Session Chair 3: Dr. P. Nagaraj, Associate Professor, SRM Institute of Science & Technology (SRMIST) - Deemed to be University |
10:30 - 12:30 (IST) | Join |
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556 |
Smart Cities and Infrastructure: Leveraging IoT, Big Data and AI for Efficient Urban Planning and Sustainable Development |
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584 |
A Hybrid Mobile Sink Routing Framework for Wireless Sensor Networks using Bipartite Graph Partitioning and Gauss-Markov Model with Ant Colony Optimization |
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596 |
A Comprehensive Survey on Trends, Challenges and Advances in Secure and Efficient Edge Computing Frameworks |
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702 |
Improving Network Applications via Block-Based Link Prediction and Diffusion in Multilayer Systems |
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769 |
Efficient Load Distribution in Cloud Data Centers: Design and Evaluation of a Proposed Load Balancing Algorithm |
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387 |
Advanced Brain Signal Acquisition and Preprocessing Techniques for Neural Systems |
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582 |
MedChain: A Blockchain-based Solution to Manage and Record Patient Data Securely |
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TS 08: Artificial Intelligence and Machine Learning (Online Mode via Google Meet) Session Chair 1: Mr. Hemang Upadhyay, Sr. Product Manager at LG Electronics North America Session Chair 2: Mr. Bharadwaj Vulugundam, Independent Researcher, IEEE Session Chair 3: Mr. Vinay Soni, Independent Researcher, IEEE |
10:30 - 12:30 (IST) | Join |
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641 |
Region Based Deep Learning Framework for Forest Fire Detection using Faster R-CNN |
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686 |
Whisper–PyAnnote: An Integrated Approach for Meeting Transcription and Diarization |
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708 |
Geospatial Epistemology in Literary Creativity: A Comparative Study of Human and AI Textual Constructs |
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725 |
GlaucoEnsemble: Leveraging State-of-the-Art CNNs for Enhanced Retinal Disease Classification |
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746 |
Multimodal AI in Pulmonary Healthcare: Advancements, Challenges and an innovative Approach for Early Detection |
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808 |
Deep Learning Advancements in Plant Disease Detection: Hybrid Frameworks, Attention Models, Multimodal Models and Evolving Trends |
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587 |
Dynamic Text-Attributed Graphs and Learning Models for Community Evolution: A Survey of Recent Advances |
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649 |
Mobile-Friendly MaxViT: Efficient Skin Lesion Classification via Neural Architecture Search and Knowledge Distillation |
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TS 09: Artificial Intelligence and Machine Learning (Online Mode via Google Meet) Session Chair 1: Mr. Deepak Kole, Independent Researcher, IEEE Session Chair 2: Mr. Venkat Nutalapati, Independent Researcher, IEEE Session Chair 3: Mr. Padmanabham Venkiteela, Senior Enterprise Architect - Integration | AI Researcher, Trellix |
10:30 - 12:30 (IST) | Join |
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750 |
An Ensemble Machine Learning Model for Brain Stroke Classification and Risk Assessment using k-Means Clustering |
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387 |
ASD Prediction via Multilayer Perceptron with DropConnect and Adaptive Learning Optimization |
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637 |
A Diffusion-Based Interactive Simulator for Multi-Game Generation |
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765 |
Neuroretina: AI-integrated retina scanner for early detection of Alzheimer disease |
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781 |
Enhancing Geological Image Interpretation with Advanced Segmentation Techniques |
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837 |
Hybrid LSTM–SVM Ensemble Framework with SMOTE for Robust Prediction of Polycystic Ovary Syndrome from Clinical and Biochemical Data |
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847 |
Recent Advances in Sign Language Recognition: A Review of Deep Learning and Classical Machine Learning Approaches |
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779 |
A Behavior-Driven Approach to Insider Threat Detection in Organizational Systems |
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751 |
AgriWatch: A Real-Time IoT-Based Crop Health Monitoring System using Hyperspectral Imaging |
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