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Session Tracks

Day-1 _ 15.03.2024

Artificial Intelligence and Machine Learning - I  

Venue : Conference Hall – Main Block

AIMLF01.

Mutual Fund Analysis Using Large Language Model

12:00 pm - 12:15 pm

 

AIMLF02.

Advanced Multiclassification of Walnut Leaf Diseases: CNN-SVM Integration1

2:15 pm - 12:30 pm

 

AIMLF03.

NeuraMold: Harnessing Convolutional Neural Networks for Anthracnose Detection Precision

12:30 pm -12:45 pm

 

AIMLF04.

Image Denoising Using Wavelet Transform and Machine Learning

12:45 pm - 01:00 pm

 

AIMLF05.

Facetpass- Intelligent Facial Recognition Authentication System Security and Usability

01:00 pm - 01:15 pm

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AIMLF06.

Smart Embedded System for Accident Pre-Alert and Prevention using Machine Learning

01:15 pm - 01:30 pm

 

AIMLF07.

Forecasting Students Academic Achievement Using Machine Learning Techniques

02:30 pm - 02:45 pm

 

AIMLF08.

Transforming Bite-Related Healthcare with Machine Learning, Telehealth, and Digital Integration

02:45 pm - 03:00 pm

 

AIMLF09.

Wavelet Based Image Restoration Via Multi-Scale Decomposition

03:00 pm - 03:15 pm

 

AIMLF10.

Detection of corn leaf infection using CNN with various optimizers

03:15 pm - 03:30 pm

 

AIMLF11.

Unravelling Statewise Crime Patterns with Ensemble Machine Learning for Detection and Data Visualization

03:30 pm - 03:45 pm

 

AIMLF12.

A machine learning approach to GDP prediction by analysing economic indicators

03:45 pm - 04:00 pm

 

AIMLF13.

Automated Fraud Detection in Financial Transactions using Machine Learning : An Ensemble Perspective

04:00 pm - 04:15 pm

 

AIMLF14.

Exploring Changes in Public Opinion, Political Campaigns, and Political Behavior Through Data Science and Machine Learning

04:15 pm - 04:30 pm

Artificial Intelligence and Machine Learning - II  

Venue : Smart Class Room – CSE

AIMLF15.

A Survey on Skin Lesion Detection and Classification using Machine Learning

12:00 pm - 12:15 pm

 

AIMLF16.

Food sales analysis and prediction using machine learning

12:15 pm - 12:30 pm

 

AIMLF17.

Intrusion Detection in Smart Cities Using Machine Learning

12:30 pm -12:45 pm

 

AIMLF18.

Machine learning-based anomaly detection for imbalanced network traffic

12:45 pm - 01:00 pm

 

AIMLF19.

Sign language recognition using machine learning

01:00 pm - 01:15 pm

 

AIMLF20.

Smart Fields: Enhancing Agriculture with Machine Learning

01:15 pm - 01:30 pm

 

AIMLF21.

Hybrid SVM approach for enhanced DDOS attack detection using machine learning in cloud environment

02:30 pm - 02:45 pm

 

AIMLF22.

Extreme learning machine enhanced remote sensing image classification system

02:45 pm - 03:00 pm

 

AIMLF23.

Detection of Plant Pathogens-Prediction Using Machine Learning

03:00 pm - 03:15 pm

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AIMLF24.

Utilizing machine learning to forecast a student’s performance

03:15 pm - 03:30 pm

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AIMLF25.

Time series financial market forecasting based on machine learning

03:30 pm - 03:45 pm

 

AIMLF26.

CNN based Machine Learning Approach for Cyclone Intensity Prediction

03:45 pm - 04:00 pm

 

AIMLF27.

Online Analysis of Ingredient Safety, Leveraging OCR and Machine Learning for Enhanced Consumer Product Safety

04:00 pm - 04:15 pm

 

AIMLF28.

FPGA Suitability for Implementation of Pedestrian Detection algorithms for Autonomous Driving Application

04:15 pm - 04:30 pm

Health Care – I

Venue : Seminar Hall – ECE

HCF01.

Enhancing Brain Tumor Diagnosis with Deep Transfer Learning: A Multi-Modal Approach

12:00 pm - 12:15 pm

 

HCF02.

Autism Detection Using Artificial Neural Networks: A Comparative Study

12:15 pm - 12:30 pm

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HCF03.

Anandha Hridaya-Fetal Heart Beat Monitor

12:30 pm -12:45 pm

 

HCF04.

Multi-Disease Diagnosis Using Medical Images

12:45 pm - 01:00 pm

 

HCF05.

Dementia care literature survey and design

01:00 pm - 01:15 pm

 

HCF06.

The RESNET-50 revolution: leveraging transfer learning for malaria diagnosis

01:15 pm - 01:30 pm

 

HCF07.

A Diabetes Monitoring System and Health-Medical Service Composition Model in Cloud Environment

02:30 pm - 02:45 pm

 

HCF08.

Automated stretcher

02:45 pm - 03:00 pm

 

HCF09.

Heart Diseases Prediction with Sound Wave using Support Vector Machine

03:00 pm - 03:15 pm

 

HCF10.

Health data tracking for effective health care monitoring system using fog computing

03:15 pm - 03:30 pm

 

HCF11.

Lung Cancer Detection using Ensemble Learning and Machine Learning Algorithms

03:30 pm - 03:45 pm

 

HCF12.

An Intelligent Smart healthcare system for patient monitoring based on CNN machine learning algorithm

03:45 pm - 04:00 pm

 

HCF13.

An Automated Thermography- Based Breast Cancer Detection and Localization System

04:00 pm - 04:15 pm

 

HCF14.

Advanced YOLO-NAS-Based Detection and Screening of Brain Tumors Using Medical Diagnostic

04:15 pm - 04:30 pm

Health Care – II

Venue : Seminar Hall – ECE

HCF15.

Determining the Underlying Factors of Chronic Liver Disease through Factor Analysis

12:00 pm - 12:15 pm

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HCF16.Revolutionizing Autism Spectrum Disorder Diagnosis: Harnessing the Power of Machine Learning and MRI for Enhanced Neurodevelopmental Care

12:15 pm - 12:30 pm

 

HCF17.

Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances

12:30 pm -12:45 pm

 

HCF18.

Utilizing natural language representation for health condition identification using clinical notes

12:45 pm - 01:00 pm

 

HCF19.

Smart jacket for health monitoring of climbers using LORAWAN technology

01:00 pm - 01:15 pm

 

HCF20.

Application of Deep Learning in Detection of various Hepatic Disease Classification Using H & E Stained Liver Tissue Biopsy

01:15 pm - 01:30 pm

 

HCF21.

Smart Wearable Therapy for Urinary Incontinence

02:30 pm - 02:45 pm

 

HCF22.

Leveraging Segmentation and Classification Techniques for Liver cancer Prediction in deep learning

02:45 pm - 03:00 pm

 

HCF23.

Advancing Diabetes Prediction: An Ensemble Learning Method for Improved Accuracy using Soft Voting Classifier

03:00 pm - 03:15 pm

 

HCF24.

Gene Expression Analysis for the diagnosis of Alzheimer’s Disease using Machine Learning

03:15 pm - 03:30 pm

 

HCF25.

Towards A Binary Classification Algorithm for the Prediction of Alzheimer's Disease

03:30 pm - 03:45 pm

 

HCF26.

Tech-Driven Wellness: Navigating the Confluence of Technology and Digital Health

03:45 pm - 04:00 pm

 

HCF27.

CNN-Enabled Generation of Comprehensive Reports from Chest and Orthopaedic Radiographs

04:00 pm - 04:15 pm

 

HCF28.

Radial Basis Function Integrated with Support Vector Machine Model for Breast Cancer Detection

04:15 pm - 04:30 pm

Deep Learning – I

Venue : Seminar Hall – ECE

DLF01.

Digital Vigilance: AI Solutions in the Quest for Missing Persons using face recognition with deep learning algorithms

12:00 pm - 12:15 pm

 

DLF02.

Deployment of an IOT-integrated home energy management system employing deep reinforcement learning

12:15 pm - 12:30 pm

 

DLF03.

Advanced Sound Detection and Behavior Examination for Real-Time Intruder Detection using Deep Learning: A Comprehensive Security Framework

12:30 pm -12:45 pm

 

DLF04.

Oral cancer detection using deep learning

12:45 pm - 01:00 pm

 

DLF05.

Enhancing public safety during natural disasters using multimodal deep learning based analysis of crowd-sourced tweets

01:00 pm - 01:15 pm

 

DLF06.

Leveraging deep learning for early stage diabetic retinopathy detection: a novel CNN and transfer learning comparision

01:15 pm - 01:30 pm

 

DLF07.

Harnessing Deep Learning for Precise Diagnosis of 6 types of Cancers

02:30 pm - 02:45 pm

 

DLF08.

Sentimental Analysis on Twitter data using Deep Learning

02:45 pm - 03:00 pm

 

DLF09.

An intelligent plant leaf syndrome identification derived from pathogen based deep learning algorithm by interfacing internet of things in smart irrigation system

03:00 pm - 03:15 pm

 

DLF10.

Cross-Dataset Generalization in Deep Learning- Based Plant Disease Recognition

03:15 pm - 03:30 pm

 

DLF11.

Comparison of Optimizers for Lung Cancer Classification using Deep Convolution Neural Network

03:30 pm - 03:45 pm

 

DLF12.

Modulation identification with deep learning using MATLAB

03:45 pm - 04:00 pm

 

DLF13.

Unmasking Pneumothorax: Deep Learning Strategies for Precise Classification and Segmentation

04:00 pm - 04:15 pm

 

DLF14.

Brief Review of Deep Learning Techniques employed in Face Mask Classification

04:15 pm - 04:30 pm

Internet of Things - I 

Venue : NICE Lab

IOTF01.

IoT Based Smart Farmland Using Deep Learning

12:00 pm - 12:15 pm

 

IOTF02.

BeeSense - A smart beehive monitoring system for sustainable apiculture

12:15 pm - 12:30 pm

 

IOTF03.

Next-generation health monitoring using IoT

12:30 pm -12:45 pm

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IOTF04.

Dynamic power transfer for moving electric vehicle charging and fault detection using IoT

12:45 pm - 01:00 pm

 

IOTF05.

IoT Based Smart Refrigerator Using Machine Learning

01:00 pm - 01:15 pm

 

IOTF06.

An Integrating IoT for Intelligent Soil Analysis and Crop Optimization

01:15 pm - 01:30 pm

 

IOTF07.

FemmeVibe: Device to amplify Women's Health and Harmony

02:30 pm - 02:45 pm

 

IOTF08.

IoT cloud platform-CT cloud

02:45 pm - 03:00 pm

 

IOTF09.

High performance and low power Axi-Lite 4 master controller using system VERILOG

03:00 pm - 03:15 pm

 

IOTF10.

A Smart Device for Monitoring Porosity and Moisture Levels of Various Soils

03:15 pm - 03:30 pm

 

IOTF11.

Smart aquaponics and hydroponics monitoring using IOT

03:30 pm - 03:45 pm

 

IOTF12.

Data transfer using AMBA Bus: Am empirical Approach

03:45 pm - 04:00 pm

 

IOTF13.

Smart routing bus transportation in Rural Terminals

04:00 pm - 04:15 pm

 

IOTF14.

Real-Time UV Radiation Monitoring and Analysis with Arduino and MATLAB for Enhanced Exposure Tracking

04:15 pm - 04:30 pm

Block Chain and Cybersecurity

Venue : MCT Conference Hall

BCCF01.

Blockchain integrated framework to detect and prevent CAV location spoofing attack using GPS time series data learning and quantum cryptography

12:00 pm - 12:15 pm

 

BCCF02.

E-voting system using block chain

12:15 pm - 12:30 pm

 

BCCF03.

Blockchain empowered secure authentication for VANET’S :a key extraction approach

12:30 pm -12:45 pm

​

BCCF04.

Blockchain: Online police complaint management system

12:45 pm - 01:00 pm

 

BCCF05.

Efficient certification of endpoint control on blockchain

01:00 pm - 01:15 pm

 

BCCF06.

Government fund allocation and tracking system using block chain technology

01:15 pm - 01:30 pm

 

BCCF07.

A noval approach for detecting Advanced Persistent Threats

02:30 pm - 02:45 pm

 

BCCF08.

Cyber Sleuth : Harnessing NLP and Blockchain for Twitter Based Fake News Detection

02:45 pm - 03:00 pm

 

BCCF09.

Spatio-Temporal Network based Bank Transactional Behaviour Analysis to Detect Suspicious Activities

03:00 pm - 03:15 pm

 

BCCF10.

Cyberbullying detection based on the fusion of DistilBERT and SIMHASH Technique

03:15 pm - 03:30 pm

 

BCCF11.

Enhancing Cybersecurity in the Supply Chain through Predictive Analytics for Cyber Threats

03:30 pm - 03:45 pm

 

BCCF12.

Enhance user privacy through data sharing on social media

03:45 pm - 04:00 pm

 

BCCF13.

Open Music Marketplace: Revolutionizing the Music industry with web3 and blockchain

04:00 pm - 04:15 pm

 

BCCF14.

Exploring the Use of Applied Cryptography Algorithms for Preventing Data Leakage

04:15 pm - 04:30 pm

Expert Systems

Venue : Seminar Hall – BT

ESF01.

Predicting IPL Victories: An Ensemble Modeling Approach Using Comprehensive Dataset Analysis

12.00pm -12.15pm

 

ESF02.

Spotting simulated commodity welding metamask technology

12:15 pm - 12:30 pm

 

ESF03.

Cutting-Edge Integrated Project Management Solution for Academic Consortia

12:30 pm -12:45 pm

 

ESF04.

Yuj : Solace Amidst Distress

12:45 pm - 01:00 pm

 

ESF05.

Virtual trial room for online shopping

01:00 pm - 01:15 pm

 

ESF06.

Rural Empowerment through Smart Learning Environment

01:15 pm - 01:30 pm

 

ESF07.

Hand-based multimodal biometric authentication system

02:30 pm - 02:45 pm

 

ESF08.

SAFEFACEYOLO: advanced workplace security through helmet detection and facial authorization

02:45 pm - 03:00 pm

 

ESF09.

Enhancing Payment Security: Face Recognition Integration with Razorpay

03:15 pm - 03:30 pm

 

ESF10.

Student Support System with Real-Time Face Recognition Based Attendance System and Course Recommendation Engine with Analytical Study Strategy Visualization

03:30 pm - 03:45 pm

 

ESF11.

A Study on Factors Enhancing Immersive Virtual Reality Experiences

03:45 pm - 04:00 pm

 

ESF12.

Applications of Pattern Recognition for Hyper Spectral Time Series Algorithm Detection

04:00 pm - 04:15 pm

 

ESF13.

Efficient Food Delivery Management: Predicting Delivery Times for Improved Customer Experience

04:15 pm - 04:30 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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