3rd International Conference on
Artificial Intelligence and Machine Learning Applications
14 - 15 March 2025
* Hybrid Mode
Tiruchengode - 637215, Tamil Nadu, India
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
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
AIMLF24.
Utilizing machine learning to forecast a student’s performance
03:15 pm - 03:30 pm
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
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
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
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