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Session Tracks

Day-2 _ 16.03.2024

Artificial Intelligence and Machine Learning - III  

Venue : Conference Hall – Main Block

AIMLS01.

Rescue me : AI Emergency Response and Disaster Management System

10:30 am - 10:45 am

 

AIMLS02.

Maximizing li-ion battery packs thermal performance through cell-to-cell variation

10:45 am - 11:00 am

 

AIMLS03.

A Comprehensive Approach to Song Popularity Forecasting

11:00 am - 11:15 am

 

AIMLS04.

Landmark events, major trends, and the future of AI research: history, promise, hype

11:15 am - 11:30 am

 

AIMLS05.

Multi-Modal AI/ML Integration for Precision Glaucoma Detection: A Comprehensive Analysis using Optical Coherence Tomography, Fundus Imaging, RNFL, and Vessel Density

11:30 am - 11:45 am

 

AIMLS06.

Enhanced machine learning model for heart disease prediction with naive bayes, warm, and personalized health recommendations

11:45 am - 12:00 pm

 

AIMLS07.

Prediction of Pesticide Goodness in Potato Crop across Various Agriculture Lands using Machine Learning Algorithm

12:15 pm - 12:30 pm

 

AIMLS08.

Complex pattern jacquard fabrics defect detection using convolutional neural networks and multispectral imaging

12:30 pm -12:45 pm

 

AIMLS09.

Unlocking the Past: Decoding Historic Inscriptions with the power of Convolutional Recurrent Neural Networks

12:45 pm - 01:00 pm

 

AIMLS10.

A Deep Thermal Image Object Detection Assessment for a Wide Range of Applications.

01:00 pm - 01:15 pm

 

AIMLS11.

Precision Agriculture Advancements: A Comprehensive Integrated System for Disease Prediction And Crop Yield Estimation Using Image Analysis And Environmental Data

01:15 pm - 01:30 pm

 

AIMLS12.

Investigation on optimization of biodiesel production using machine learning techniques

02:30 pm - 02:45 pm

 

AIMLS13.

RESNET -101 And Faster R-CNN Fusion Accurate Brain Tumor Detection and Categorization

02:45 pm - 03:00 pm

 

AIMLS14.

Exploratory Data Analysis of The Whirlpool Galaxy (M51) And Ngc (5195) Through Image Processing And Astrophysical Techniques

03:00 pm - 03:15 pm

Artificial Intelligence and Machine Learning - IV  

Venue : Smart Class Room – ECE

AIMLS15.

Analysis of Financial Fraud Statements' Effect on Stock Prices Using Regression Techniques

10:30 am - 10:45 am

 

AIMLS16.

Comparative Analysis of Machine Learning Techniques for Detecting Sentiments in Social Media

10:45 am - 11:00 am

 

AIMLS17.

Unsupervised Classification of Wetland Areas Using Hyper Spectral Imagery

11:00 am - 11:15 am

 

AIMLS18.

Enhancing Security Through the Utilization of Multifactor Security Algorithms

11:15 am - 11:30 am

 

AIMLS19.

Application of Support Vector Machine for Classification of Plumes from Hyper Spectral Images

11:30 am - 11:45 am

 

AIMLS20.

Understanding the Potential of Grouping Algorithms for Genetics Clustering

11:45 am - 12:00 pm

 

AIMLS21.

Automated Land Use Identification Using Hyper Spectral Data and Machine Learning Algorithms

12:15 pm - 12:30 pm

 

AIMLS22.

Enhancing Hyper Spectral Time Series Datasets Using State-Of-The-Art Machine Learning Algorithms

12:30 pm -12:45 pm

 

AIMLS23.

Using Neural Network-Based Time Series Analysis in Wireless Sensor Networks

12:45 pm - 01:00 pm

 

AIMLS24.

Exploring Dynamic Clustering for Network Time Series Analysis

01:00 pm - 01:15 pm

 

AIMLS25.

The Application of Time Series Analysis for Scalable Systems

01:15 pm - 01:30 pm

Health Care - III

Venue : Seminar Hall – ECE

HCS01.

Smart textiles to monitor electrocardiograph

10:30 am - 10:45 am

 

HCS02.

Pneumonia disease classification using xception cnn model

10:45 am - 11:00 am

 

HCS03.

A Review on Pneumonia Detection Using Artificial Intelligence Techniques

11:00 am - 11:15 am

 

HCS04.

Building a Dyslexia Detection Web App with Boosting Algorithm and Flask

11:15 am - 11:30 am

 

HCS05.

AI Powered Personalized Healthcare Recommender

11:30 am - 11:45 am

 

HCS06.

An Empirical Study of Medical Diagnosis Using Deep Learning

11:45 am - 12:00 pm

 

HCS07.

Data Preprocessing and Feature Extraction for Time Series Analysis in Healthcare management

12:15 pm - 12:30 pm

 

HCS08.

Analyzing Bi-directional LSTM Networks for Cardiac Arrest Risk Assessments

12:30 pm - 12:45 pm

 

HCS09.

Improving the Accuracy of Time Series Analysis Methods for Detecting Oral Cavity Cancer Early

02:30 pm - 02:45 pm

 

HCS10.

Gaining Insights with Deep Learning on Small Scale Cancer Detection

02:45 pm - 03:00 pm

 

HCS11.

Utilizing Transfer Learning on Deep Learning Networks for Cancer Detection

03:00 pm - 03:15 pm

 

HCS12.

Exploring the Feasibility of Autonomous Diagnosis with AI/ML for Smart Health Care

03:15 pm - 03:30 pm

 

HCS13.

Improving Diagnostics for Brain Cancer: An Application of Deep Learning

03:30 pm - 03:45 pm

 

HCS14.

Applying Time Series Analysis Techniques to Detect Early Signs of Thyroid Cancer

03:45 pm - 04:00 pm

​

HCS15.

An enhanced prediction of tumor using transfer learning based framework

04:00 pm - 04:15 pm

Deep Learning - II

Venue : AICTE IDEA Lab

DLS01.

Assistive Voice Guidance System for Blind Individuals using Deep Learning Techniques

10:30 am - 10:45 am

 

DLS02.

Cardiovascular Disease Analysis Using Different Machine Learning Techniques

10:45 am - 11:00 am

 

DLS03.

Leaf Lens: An Intelligent Vision for Plant Disease Diagnosis using Deep Learning

11:00 am - 11:15 am

 

DLS04.

Cyber-attacks classification using supervised learning technique.

11:15 am - 11:30 am

 

DLS05.

Enhancing crop health using deep learning techniques

11:30 am - 11:45 am

 

DLS06.

Framework for detecting student behaviours (nail biting, yawn and sleep) using deep learning algorithm

11:45 am - 12:00 pm

 

DLS07.

Network intrusion detection system using optimized feature selection

12:00 pm - 12:15 pm

 

DLS08.

Cloud classification and rainfall prediction

12:15 pm - 12:30 pm

 

DLS09.

Protecting Tampered Images with Lossless Auto Recovery using improved INN

12:30 pm - 12:45 pm

 

DLS10.

Exploring Style Transfer Techniques for Visually Captivating Image Transformations

12:45 pm - 01:00 pm

 

DLS11.

High-Resolution Data-Driven Approach for Pedestrian Detection Using Deep Learning

01:00 pm - 01:15 pm

 

DLS12.

A framework for precise road damage detection using deep learning.

01:15 pm - 01:30 pm

 

DLS13.

Deep Learning-Based Semantic Segmentation of Turmeric Crop Images Using the DeepLabV3+ Architecture

02:30 pm - 02:45 pm

 

DLS14.

A Wavelet-Based Hyper spectral Image Analysis to Characterize Soil Types

02:45 pm - 03:00 pm

 

DLS15.

Examining Dynamic Time Warping Algorithms for Hyper Spectral Image Data

03:00 pm - 03:15 pm

 

DLS16.

A Comparative Evaluation of Different Sentiment Analysis Algorithms for Social Media Text Analysis

03:15 pm - 03:30 pm

 

DLS17.

Connecting Autonomous Engineering Domains with the Shared Language of Deep Neural Networks

03:30 pm - 03:45 pm

Internet of Things - II   

Venue : NICE Lab

IOTS01.

Detection of distributed denial of service in the application layer of IoT using machine learning

10:30 am - 10:45 am

 

IOTS02.

Efficient lane detection method for challenging road environments

10:45 am - 11:00 am

 

IOTS03.

Electric bike security and protection system

11:00 am - 11:15 am

 

IOTS04.

Vehicle Collision Detection and Emergency Contact

11:15 am - 11:30 am

 

IOTS05.

Smart self-orienting solar tracker for PV power generation system

11:30 am - 11:45 am

 

IOTS06.

Multi-Functional Water Hyacinth Reaper with Weight Management System

11:45 am - 12:00 pm

 

IOTS07.

Enhancing power quality in a solar powered bidirectional smart grid with electric vehicle integration

12:00 pm - 12:15 pm

 

IOTS08.

Load sharing autonomous hybrid micro- grid interlinking converter

12:15 pm - 12:30 pm

 

IOTS09.

IoT enabled water distribution system for textile dyeing industry

12:30 pm - 12:45 pm

 

IOTS10.

Reliability evaluation of grid-interfaced hybrid micro grid (photovoltaic-wind) power system

12:45 pm - 01:00 pm

 

IOTS11.

Self-regulated PID controller for improving EV charging station performance by HARRIS hawk optimization technique

01:00 pm - 01:15 pm

 

IOTS12.

Comprehensive women’s health risk assessment platform

01:15 pm - 01:30 pm

 

IOTS13.

A new wearable Liver detox method using thermoelectric modules

02:30 pm - 02:45 pm

 

IOTS14.

A smart automated roller clamp for iv therapy

02:45 pm - 03:00 pm

 

IOTS15.

Design and Implementation of Modified Zeta Converter using Adaptive Sliding Mode Technique

03:00 pm - 03:15 pm

 

IOTS16.

Implementation of Power Efficient Smart Helmet System for Road Safety and Rider’s Convenience using Pico Board

03:15 pm - 03:30 pm

 

IOTS17.

Smart Aeroponic Farms with IoT-Enabled Efficient Automation and Monitoring

03:30 pm - 03:45 pm

 

IOTS18.

Smart Sewage System with Advanced Remote Monitoring for Efficient Urban Infrastructure Management

03:45 pm - 04:00 pm

Internet of Things - III

Venue : ECE Board Room

IOTS19.

Validation of IoT Networks in Precision Agriculture

02:30 pm - 02:45 pm

 

IOTS20.

Implementing Emerging Technologies in Smart Farming with IoT

02:45 pm - 03:00 pm

 

IOTS21.

Autonomous and Adaptive Communications Systems in Internet of Things

03:00 pm - 03:15 pm

 

IOTS22.

Distributed Algorithms for Electromagnetic Compatibilities on Local Area Networks

03:15 pm - 03:30 pm

 

IOTS23.

Real-Time Edge Computing Services for Internet of Things-based Cloud Networks

03:30 pm - 03:45 pm

 

IOTS24.

Enhancing IoT Networking Through Predictive Big Data Processing

03:45 pm - 04:00 pm

NLP, Cloud and Robotics

Venue : MCT Conference Hall

NCRS01.

Applying deep neural networks and NLP techniques for sentiment analysis in social media data

10:30 am - 10:45 am

 

NCRS02.

An Efficient Storage Utilisation in Cloud using VM Consolidation with Secure Data Sharing

10:45 am - 11:00 am

 

NCRS03.

A Secure Approach to Avoid Data Repetition in Cloud Storage Systems

11:00 am - 11:15 am

 

NCRS04.

Securing medical records with privacy-preserving storage in the cloud through advanced deep encryption

11:15 am - 11:30 am

 

NCRS05.

A two-tier virtualized cloud data center energy-aware host resource management framework

11:30 am - 11:45 am

 

NCRS06.

Error detection and correction using Python: An exempler Approach

11:45 am - 12:00 pm

 

NCRS07.

AI-Enhanced Learning Assistant Platform: An Advanced System for Q&A Generation from Provided Content, Answer Evaluation, Identification of Students Weak Areas, Recursive Testing for Strengthening Knowledge, Integrated Query Forum, and Expert Chat Support.

12:15 pm - 12:30 pm

 

NCRS08.

Design and Development of user-friendly Bi-lingual translation system employing Machine Translation 5 Base Deep Learning Neural Network Framework Based NLP

12:30 pm - 12:45 pm

 

NCRS09.

Agricultural Robotics: A Comprehensive Review of Applications, Challenges and Future Prospects

12:45 pm - 01:00 pm

 

NCRS10.

Precision Farming with Versatile Robotic Systems

01:00 pm - 01:15 pm

 

NCRS11.

Quantitative Comparison of Path Planning Algorithms in Simulated Environment

01:15 pm - 01:30 pm

 

NCRS12.

CentraSense: Proactive Vehicle Direction Monitoring

02:30 pm - 02:45 pm

 

NCRS13.

Anxiety Assessment System

02:45 pm - 03:00 pm

 

NCRS14.

Humanoid Robot fault prediction and remaining life estimation

03:00 pm - 03:15 pm

 

NCRS15.

Evaluating the Impact of Different Features on the Efficiency of Emotion Recognition Algorithms in Text

03:15 pm - 03:30 pm

 

NCRS16.

Assessing the Vulnerability of Information Security Models to Malware in Networked Applications

03:30 pm - 03:45 pm

 

NCRS17.

Cross-Layer Design and Security of Network Applications

03:45 pm - 04:00 pm

 

NCRS18.

Studying the Performance of Digital Signature Algorithms in Information Security Models for Networking Applications

04.00pm - 04.15pm

Communication and Image Processing 

Venue : Seminar Hall – BT

CIPS01.

Design and Development of a Smart Antenna System for Electromagnetic Compatibility

10:30 am - 10:45 am

 

CIPS02.

Identifying Rocks and Mineral Resources Using Hyper Spectral Analysis

10:45 am - 11:00 am

 

CIPS03.

An Analytical Study of the Impact of Data Flow on Electromagnetic Compatibility

11:00 am - 11:15 am

 

CIPS04.

Interference coordination techniques for D2D communications in a spectrum sharing environment

11:15 am - 11:30 am

 

CIPS05.

Evaluating Novel Network Coding Schemes for Wirelessly Delivered Media Streams

11:30 am - 11:45 am

 

CIPS06.

Evaluating the Performance of Interactive Communication Media Algorithms in Networking Applications

11:45 am - 12:00 pm

 

CIPS07.

Cross-Layer Framework for Service Provisioning in Wireless Networks

12:15 pm - 12:30 pm

 

CIPS08.

Analysis of Wi-Fi network performance with Network Coding

12:30 pm - 12:45 pm

 

CIPS09.

Design and Evaluation of Reliable Coding Techniques for Wireless Networks

12:45 pm - 01:00 pm

 

CIPS10.

Performance Improvement in Welding Operations Through Image Processing

01:00 pm - 01:15 pm

 

CIPS11.

Error-Proofing Applications with Automated Image Recognition

01:15 pm - 01:30 pm

 

CIPS12.

Implementing Image Colorization with Generative Adversarial Networks

02:30 pm - 02:45 pm

 

CIPS13.

Generating Accurate Crop Health Information Through Hyper Spectral Image Analysis

02:45 pm - 03:00 pm

 

CIPS14.

Performance Improvement in Welding Operations Through Image Processing

03:00 pm - 03:15 pm

 

CIPS15.

Intelligent Data Mining of Hyper Spectral Images for Feature Extraction

03:15 pm - 03:30 pm

 

CIPS16.

An Investigation of Classification Trees for Semi-automated Land Cover Mapping from Hyper Spectral Data

03:30 pm - 03:45 pm

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Department of ECE, K.S.Rangasamy College of Technology, KSR Kalvi Nagar, Tiruchengode - 637215, Namakkal (dt.), Tamil Nadu, India

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©2023 by ECE, KSRCT.

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