We are pleased to invite you to attend the ITI 2024 in Hybrid Mode (Online through Google Meet and Offline at Dr. B. R. Ambedkar Institute of Technology, Andaman & Nicobar). This page includes all of the information on the ITI 2024 program schedule. Click each date below for the ITI 2024 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.
All the Keynotes and Technical Paper Presentations will be in hybrid mode (Online through Google Meet and Offline at Dr. B. R. Ambedkar Institute of Technology, Andaman & Nicobar).
Click Join on the respective Date Tab to attend/present the respective Keynotes (K)/Technical Sessions (TS) for online attendees.
Join the Keynotes (K)/Technical Sessions (TS) at least 05 minutes before the scheduled time. All the times are in Indian Standard Time (IST).
All the participants and presenters are requested to keep their mic and video off until and unless it is asked to un-mute.
The presenters are requested to be ready with their presentation slides and check their mic and video settings in advance.
The authors (presenters) will be called one-by-one in their respective Technical Sessions (TS) by Session Chairs.
The presenter has to prepare presentation slides in any format.
Paper presentation time for each paper is 10 Min and 2 minutes for Q & A.
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Registration of Offline Participants |
09:00 – 10:00 (IST) | |
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Inauguration (Hybrid Mode) | 10:00 – 11:00 (IST) | Join |
High Tea (For Offline Participants) |
11:00 – 11:30 (IST) | ||
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Keynote Talks (Hybrid Mode) |
11:30 – 12:30 (IST) | Join |
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Keynote Talk 1 (Hybrid Mode) Speaker: Dr. Jagdish Chand Bansal, South Asian University, New Delhi |
11:30 - 12:00 (IST) | |
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Keynote Talk 2 (Hybrid Mode) Speaker: Mr. Aninda Bose,Executive Editor at Springer Nature Group, London, UK |
12:00 - 12:30 (IST) | |
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Lunch (For Offline Participants) |
12:30 - 14:00 (IST) | |
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TS 01: Artificial Intelligence and Machine Learning (Offline Mode) |
14:00 - 15:30 (IST) | |
140 |
DLA-HDD: A Novel Deep Learning Architecture for Early Heart Disease Detection |
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209 |
Rainfall Prediction Models using BPNN and BPNN-PSO in Jhelum River Basin: A Case Study |
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210 |
Hybrid Support Vector Machine Model with Harris Hawks Optimization is a Successive Tool for Flood Prediction: A Case Study |
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400 |
Impact of Gate Metal Engineering on the Electrical Performance of SOI MOSFETs |
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401 |
Comparative Analysis of Adiabatic Techniques for Multiplexer Design |
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409 |
Automated Tuberculosis Detection in Microscopic Images using CNN |
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TS 02: Cybersecurity and Privacy (in Online Mode via Google Meet) |
14:00 - 15:30 (IST) | Join |
110 |
A Blockchain-Based Digital Asset Management System for Collaborative Transactions |
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128 |
A Novel Federated Learning Approach to Memory-based Malware Detection Model using RMS Propagation and Sequential Classifier |
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150 |
Deep Learning and Statistical Testing Approaches for Cyberattack Classification in Imbalanced Datasets |
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298 |
A Novel Approach for Identification of Information Defamation using Sarcasm Features |
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306 |
A Comprehensive Survey on Advancements in Machine Learning for Enhancing Network Attack Detection |
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316 |
Enhancing Location Privacy through Context-Aware Multiple Plausible Trajectories |
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TS 03: Data Science and Big Data Analytics (in Online Mode via Google Meet) |
14:00 - 15:30 (IST) | Join |
139 |
Risk Assessment using Exploratory Data Analysis in Financial Services |
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231 |
Transforming India's Indirect Taxation System Through Data Analytics and Artificial Intelligence |
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269 |
Fine-Tuning LLMs for Risk Assessment in Indian Employment Contracts |
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279 |
A Temporal and Spatial Analysis of Seasonal Normalized Difference Vegetation Index of Varanasi District (India) using Google Earth Engine |
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374 |
Optimizing the Performance of Naïve Bayesian Classification using RELSUn, a Bi-Stage Feature Selection Algorithm |
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390 |
A Synergistic CNN and LGBM Model for Advanced Intracranial Haemorrhage Prognosis |
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TS 04: Intelligent Systems (in Online Mode via Google Meet) |
14:00 - 15:30 (IST) | Join |
53 |
Design and Implementation of Matrix Multiplication Unit for Tensor Processing Unit |
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103 |
A Novel Revolutionizing Approach Sustainable Smart Education Practices for Autism Spectrum Disorder Kids using Virtual Reality |
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174 |
Real-Time Pothole Detection for Enhanced Road Safety with YOLO Algorithm |
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180 |
A Novel IoT and Machine Learning Approach for Crop Pattern Analysis for Improved Farming Efficiency |
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182 |
Design and Development of an Energy Efficient Heart Rate Monitoring System using IoT Platform |
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410 |
Integrating Simple Temporal Attention for Improved Video Summarization |
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TS 05: Artificial Intelligence and Machine Learning (in Online Mode via Google Meet) |
14:00 - 15:30 (IST) | Join |
92 |
Optimizing Sarcasm Detection in Assamese using State-of-the-Art Transformer Model |
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112 |
Cyberbullying Detection in Assamese Social Media: A Comparative Study of BiGRU and CNN Models |
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155 |
Improvement of Cellular Network Coverage Predictive System Utilizing Advanced Boosting technology |
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160 |
Event Extraction from text using BERT-Enhanced Graph Attention Network |
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181 |
Optimizing Adaboost Identification with Modified Metaheuristic for Fake News Detection |
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193 |
MultiLayered Neural Network for Accurate Brain Tumor Diagnosis in MRI |
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TS 06: Intelligent Systems (in Online Mode via Google Meet) |
14:00 - 15:30 (IST) | Join |
52 |
Design and Implementation of Dadda Multiplier in 45nm Technology |
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219 |
Energy Meter Monitoring using IOT |
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258 |
Real-time Session Monitoring Application using Machine Learning Algorithm |
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263 |
Enhancement of Brain Tumor MR Images with a Fusion of Unsharp Masking and CLAHE for Segmentation using a Modified U-Net Model |
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274 |
Support Vector Machine Model for Optimal Human Computer Interaction for Analysing the Depressed Patient Emotions |
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357 |
Enhancing Image Quality through Super-Resolution Convolutional Neural Network |
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TS 07: Artificial Intelligence and Machine Learning (in Online Mode via Google Meet) |
14:00 - 15:30 (IST) | Join |
256 |
Enhancing the Prediction of Optimal Crops using Explainable AI |
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259 |
Ocular Disease Diagnosis using Convolutional Neural Networks Optimized By Modified Metaheuristic Algorithm |
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261 |
Real-Time State-of-Charge (SOC) Prediction and Battery Optimisation with ML Algorithms |
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267 |
Multimodal PCOS Identification using XGBoost and VGG19 of CNN |
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270 |
Lie Detection using Facial Expressions and Speech Analysis |
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273 |
Improved Data Analytics using Deep Learning Algorithm in Internet of Things for Crop Yield Prediction |
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TS 08: Artificial Intelligence and Machine Learning (in Online Mode via Google Meet) |
14:00 - 15:30 (IST) | Join |
283 |
Enhanced Obstructive Sleep Apnea Management using Deep Radial Basis Function for Accurate Prediction and Efficient Data Processing for Internet of Things |
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284 |
Improving Dermatological Diagnostics: A Deep Learning and Spectral Analysis Study on Skin Cancer |
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291 |
HopeWVBL: Improving Automatic Hope Speech Detection using Word Embedding and Bidirectional LSTM |
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313 |
Rice Crop Disease Classification using Fourier Transform |
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339 |
The Smart Detection of Ovarian Cancer in Complex Medical Images using Deep Learning |
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340 |
Optimized Agricultural Plant Classification by Leaves using VGG-19 and VGG-16 Convolutional Neural Networks |
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TS 09: Intelligent Systems (in Online Mode via Google Meet) |
14:00 - 15:30 (IST) | Join |
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Industry Invited Speaker - I |
14:00 - 14:15 (IST) | |
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Industry Invited Speaker - II |
14:15 - 14:30 (IST) | |
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Automated Threat Detection and Response Using LLM Agents |
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195 |
A Hybrid Model of Deep Transfer Learning and Feature Fusion for Diabetic Retinopathy Classification and Grading |
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241 |
Predicting Heart Failure using Machine Learning: An Evaluation of Classification Algorithms on Multiple Datasets |