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Ninth International Conference SmartCom 2025
Ninth International Conference SmartCom 2025
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Friday
, January 31
Virtual Room A
9:30am •
Opening Remarks
9:30am •
Design and Implementation of Latent Fingerprints Using Weighted Hybrid Optimization Technique
9:30am •
Enhancing Consumer Decision Satisfaction in Agricultural Product Retailing through IoT
9:30am •
Enhancing Cassava Disease Detection: Integrating Stacked CNNs with ResNet-18 Feature Extraction
9:30am •
Multi-Class Ship Classification of Commercial and Naval Vessels using Convolutional Neural Network
9:30am •
Harnessing AI for Personalized Training: Opportunities and Challenges
9:30am •
Inventory Prediction and Waste Management
9:30am •
Artificial Intelligence in Medical Imaging
9:30am •
AI-Powered Digital Stethoscope for Telemedicine Applications
9:30am •
Automated Polycystic Ovary Disease Diagnosis from Ultrasound Using Deep Convolutional Networks
9:30am •
ENHANCING SEARCH EFFICIENCY: A PERSONALIZED, PROFESSION-BASED APPROACH USING AIML-DRIVEN BROWSER EXTENSIONS
11:15am •
Session Chair Remarks
11:20am •
Closing Remarks
12:15pm •
Opening Remarks
12:15pm •
Beyond the Dashboard: Examining Tableau's Attributes, Sector-Specific Applications, and Addressing Data Visualization Challenges
12:15pm •
ICT-Driven Financial Literacy Programs: Empowering Citizens for Better Financial Governance
12:15pm •
Digital Transformation and the Waste Management Revolution – Application of Innovative Technologies for Smart City
12:15pm •
Emotion Recognition on Electroencephalogram data using Dynamic Graph Convolutional Neural Networks
12:15pm •
Advancing Farming with AI - Machine Learning for Precision Crop Advisory and Sustainability
12:15pm •
Estimating Instagram Post Engagement using Cutting-Edge Machine Learning Algorithms
12:15pm •
Collaborative Robot – Automated Task Optimization
12:15pm •
Speech Emotion Recognition
12:15pm •
Denoising Techniques of Audio Signals – A Review
12:15pm •
Handwritten English Character Recognition and Colorization
2:00pm •
Session Chair Remarks
2:05pm •
Closing Remarks
3:00pm •
Opening Remarks
3:00pm •
Detecting the Unusual: Business Outlier Analysis as a Catalyst for Healthcare Innovation
3:00pm •
ARK : A 2D Fighting Game with Rollback Netcode
3:00pm •
Enhanced Obstacle Detection in Adverse Weather Condition for Autonomous Vehicles
3:00pm •
A Comprehensive Exploration of AI-Based Approaches and Various Machine Learning Techniques for Detecting Lung Cancer
3:00pm •
Implementation of SHA-256 used in Bitcoin Mining on FPGA
3:00pm •
Text-to-Braille Conversion System Using Microcontroller and Servo Motors
3:00pm •
Predicting Blak Friday Sales: A Machine Learning Approach to Customer Purchase Behaviour
3:00pm •
Advancing Brain Tumor Recurrence Prediction: Integrating AI and Advanced Imaging Technologies for Enhanced Prognosis
3:00pm •
The Role of Technology in Subsistence Farming: Data-Driven Insights and Challenges
3:00pm •
Voice Cloning and Avatar System
4:45pm •
Session Chair Remarks
4:50pm •
Closing Remarks
Virtual Room B
9:30am •
Opening Remarks
9:30am •
Small Language Models:An Advancing Efficient Open-Source Alternatives to Large Language Models
9:30am •
STOCK PREDICTION USING MACHINE LEARNING TECHNIQUES
9:30am •
Exploring Learning algorithm to Qualitatively Assess Medicinal Plants
9:30am •
Utilizing Object Detection and Lane Assistance to Optimize Visibility in Foggy Conditions: A Review
9:30am •
Fraud Detection in Insurance Using Machine Learning
9:30am •
Real-Time Interaction with Machines through Gesture and Speech Translation: A CNN and LSTM-Based Approach
9:30am •
STOCK MARKET PREDICTION USING MACHINE LEARNING MODELS
9:30am •
VEDA: Visual Extraction and Decryption of Ancient Scripts
9:30am •
BrightMind: AI Interview or Test Taker Bot
9:30am •
MRI-Based Parkinson's Disease Diagnosis with Deep Learning
11:15am •
Session Chair Remarks
11:20am •
Closing Remarks
12:15pm •
Opening Remarks
12:15pm •
Bone Fracture Detection Using Machine Learning
12:15pm •
Federated and Deep Learning Techniques in Medical Imaging: A State-of-the-art Innovative Approaches for Brain Tumor Segmentation
12:15pm •
A Survey on Generative AI and Encoders for Video Generation using multimodal inputs
12:15pm •
Empathetic Response Generation Using Big Five Ocean Model and Generative AI
12:15pm •
Accelerated Facial Aging using GAN
12:15pm •
Comparative Study of Object Detection Models for Enhanced Real-Time Mobile Phone Usage Monitoring in Restricted Zones
12:15pm •
ComPAD in Deepfake Image Detection: Techniques, Comparisons and Challenges
12:15pm •
Hinglish Sentiment Analysis using LSTM-GRU with 1D CNN
12:15pm •
EchoCart: Voice based chatbot for e-commerce
12:15pm •
Multimodal Emotion Recognition: Review Paper
2:00pm •
Session Chair Remarks
2:05pm •
Closing Remarks
3:00pm •
Opening Remarks
3:00pm •
Cloud-Enabled Learning Management Systems: A Study on Scalability and Personalization
3:00pm •
Optimizing HR Utilization in the BPO Industry: The Power of Predictive Analytics
3:00pm •
AI Applied to Stock Market Prediction
3:00pm •
Digital Forecasting as a Tool: Assessing the Performance of Public Sector Banks in India
3:00pm •
An Efficient Smart Agriculture Monitor System using IoT
3:00pm •
Adaptive Base Representation Theorem: An Alternative to Binary Number System
3:00pm •
Content Preserve for 3D Video Stabilization using Warping Techniques
3:00pm •
Transforming Sign Language into Emotion-Enhanced Speech with Machine Learning
3:00pm •
The Role of AI-Powered Chatbots in Mental Health Care for Anxiety and Depression
3:00pm •
RAG Chatbots: Implementing Large Language Models in Retrieval-Augmented Generations
4:45pm •
Session Chair Remarks
4:50pm •
Closing Remarks
Virtual Room C
9:30am •
Opening Remarks
9:30am •
The Smart Footwear : A Survey Report
9:30am •
A Comprehensive Survey on AI-based System for Detecting Package Damage and Food Packet Spillage
9:30am •
Ethical, Security, and Privacy Considerations for Internet of Medical Things Adoption for Developing Countries
9:30am •
A Comparative Analysis of Intrusion Detection System Models and Suitability of Datasets for Smart Grid Communication
9:30am •
Behaviour Based Driver Drowsiness Detection Using Convolutional Neural Network
9:30am •
Clustering-Driven Insights for Recommending Ideal Student Locations
9:30am •
Internet of Things (IoT) in Retail Industry
9:30am •
Intelligent Phishing Detection Using GANs
9:30am •
Rainfall Prediction Using Machine Learning
9:30am •
Real-Time Air Quality Monitoring and Predictive Pollution Control Using Big Data and IoT
11:15am •
Session Chair Remarks
11:20am •
Closing Remarks
12:15pm •
Opening Remarks
12:15pm •
Efficient KYC for DAO using Blockchain
12:15pm •
A Study on Automation of Traffic Violation Detection
12:15pm •
F² (Familiar Faces): A Novel Approach to Persona Classification Using Facial Recognition and Digital Footprints
12:15pm •
Green IT: Exploring Sustainable Technologies for Reducing the Carbon Footprint of IT Operations
12:15pm •
Predictive Modelling of Childhood Fever Prevalence: Leveraging Machine Learning in Maternal and Child Health
12:15pm •
Enhanced Safety Stun Gun with GPS and GSM for Self-Defense
12:15pm •
A Survey on the Lung Diseases Prediction in an Indian Environment Using Machine Learning
12:15pm •
Multi-Scale Forecasting of Electricity Demand in Telangana Using Time Series and Machine Learning Models
12:15pm •
Visionary Assistance: Where Smart outsmarts Sight
12:15pm •
Development of AI based Fashion Recommender System for E-commerce Business
2:00pm •
Session Chair Remarks
2:05pm •
Closing Remarks
3:00pm •
Opening Remarks
3:00pm •
Development of an Energy-Efficient Deep Learning Framework for Intrusion Detection in IoT Environments
3:00pm •
Sign Language Recognition and Caption Generation: A Review
3:00pm •
Optimizing Plant Disease Detection with a Novel Deep Ensemble Framework
3:00pm •
Time Series Analysis for Stock Market Prediction: Techniques, Challenges, and Future Directions
3:00pm •
Integrated Approaches for Secure and Predictive Management of Electronic Health Records: A Review
3:00pm •
Automatic Generation of Executive Summaries for Online Meetings using NLP: A Review
3:00pm •
Effectiveness of Artificial Intelligence in Stock Market Prediction
3:00pm •
Integrating AI with IoT: A Review of Applications, Challenges, and Future Directions
3:00pm •
“Psychoacoustic Wellness”: Unveiling the Efficacy of Vedic Chants and Music on Alleviating Depression
3:00pm •
Integrating Edge-Cloud Computing and IoT for Real-time Food Quality Assessment
4:45pm •
Session Chair Remarks
4:50pm •
Closing Remarks
Virtual Room D
9:30am •
Opening Remarks
9:30am •
The Impact of Privacy Regulations on Digital Marketing Practices: A Descriptive Study
9:30am •
A Comparative Analysis of Machine Learning Models
9:30am •
Use of NLP in Medical Document Translation for Low Resource Language(Tamil)
9:30am •
Study on the Effects of Memory on Learning in Neural Networks
9:30am •
The Next Frontier in Cancer Diagnosis: A Thorough Examination of Machine Learning and Deep Learning Advancements
9:30am •
Topic Modelling in Hindi using BERT, LDA, LSA and NMF approaches
9:30am •
Availability Evaluation in a Thermal Power Plant using Markov Birth-death Approach
9:30am •
Design and Implementation of Face Image-Based Liveness Detection Using Deep Learning
9:30am •
A highly secure video steganography method utilizingFRT and ECC-ChaCha20 based encryption
9:30am •
Indian Sign Language to Audio-Video Converter for Regional Languages
11:15am •
Session Chair Remarks
11:20am •
Closing Remarks
12:15pm •
Opening Remarks
12:15pm •
Machine Learning for Cardiovascular Disease Prediction: A Comparative Analysis of Models
12:15pm •
Cyber Attack Network Investigation System Using ML
12:15pm •
AI-powered chatbot for Mental Health Assistance
12:15pm •
Contemporary Cryptography Against Quantum Computing and LBC on Embedded Systems
12:15pm •
Exploring Technologies for Grape Disease Detection : A Comprehensive Survey
12:15pm •
Forecasting Health Insurance Expenses Using Machine Learning
12:15pm •
Forecasting Food Demand in Supply Chains: A Comprehensive Comparison of Regression Models and Deep Learning Approaches
12:15pm •
Differentiating between AI Generated Faces and Human Faces
12:15pm •
ENHANCING EVENT CLASSIFICATION ACCURACY AND RELIABILITY THROUGH REDPANDA-OPTIMIZED FEATURE INTEGRATION IN PREDICTIVE SYSTEMS
12:15pm •
Photovoltaic Cell Power Forecasting Using LSTM With XAI Integration
2:00pm •
Session Chair Remarks
2:05pm •
Closing Remarks
3:00pm •
Opening Remarks
3:00pm •
Uncertainty-Based Decision-Making in Pandemics
3:00pm •
Voting System Using Blockchain
3:00pm •
Sign Language Recognition Using CNN Model
3:00pm •
A Review of Artificial Intelligence Techniques for Brain Tumour Segmentation and Classification
3:00pm •
Strategic Analysis for Internal Audit and Data Analytics: Enhancing Audit Effectiveness through Data-Driven Insights
3:00pm •
Impact of the Internet on Human Life a data-driven Analysis using Machine Learning and Statistical Correlations
3:00pm •
AI-DRIVEN OPTIMIZATION IN HEALTHCARE SUPPLY CHAINS
3:00pm •
From Prompts to Programs: A RAG-Based Framework for Code Synthesis
3:00pm •
A Comparative Study of Machine Learning and Deep Learning Techniques for Cybercrime Detection on Facebook and Twitter
3:00pm •
Enhancing Portfolio Analysis and Stock Prediction Through LSTM and XGBoost Integration
4:45pm •
Session Chair Remarks
4:50pm •
Closing Remarks
Virtual Room E
9:30am •
Opening Remarks
9:30am •
Analysis and Classification of Water Quality Using Machine Learning Technique
9:30am •
Forecasting electricity consumption using ARIMA model
9:30am •
Machine Learning Driven Non-invasive Biomarker Measurement
9:30am •
Solar Powered DC-DC Converter fed Electronically Commutated Motor Driven Electric Bike
9:30am •
Enhancing Automated Cotton Disease Detection Using CNNs for Sustainable Agriculture
9:30am •
Cryptocurrency Price Prediction and Security Challenges in Machine Learning Approach
9:30am •
Deep Learning-Based Stress Detection Using Facial Expression Recognition and the AffectNet Dataset
9:30am •
Contextual Visual Question Answering On Remote Sensing Images
9:30am •
Mapping Social Barriers in Indian Plantation Communities: Insights and Recommendations
9:30am •
Sentiment Insight: Leveraging NLP for Real-Time Feedback Analysis
11:15am •
Session Chair Remarks
11:20am •
Closing Remarks
12:15pm •
Opening Remarks
12:15pm •
AI and Computer Vision Techniques for Fitness Training and Form Analysis: A Comprehensive Review
12:15pm •
YOLO Algorithm-Based Effective Orange Detection and Localization with Improved Data Augmentation
12:15pm •
Integrating Federated Transfer Learning and Blockchain to Enhance IoT Security: A Comprehensive Survey
12:15pm •
Innovative Bow Tie Antenna Design for Enhanced MRI Imaging
12:15pm •
Power Electronics: A Pivotal Role in Strengthening Cybersecurity
12:15pm •
Exploration of Galactic Redshift and Its Impact on Galaxy Properties Using Machine Learning
12:15pm •
Comparative Analysis of Deep Learning Models for Speech-to-Text and Text-to-Speech conversion
12:15pm •
A Multilingual Deep Learning Approach for Sign Language Recognition
12:15pm •
A review on Imagify and Image NFT Marketplace
12:15pm •
Deep Learning Model for Lip-Based Speech Synthesis
2:00pm •
Session Chair Remarks
2:05pm •
Closing Remarks
3:00pm •
Opening Remarks
3:00pm •
Regression Techniques for Calorie Prediction: A Comparative Analysis
3:00pm •
The Influence of Adverse Weather on the Reliability and Performance of Autonomous Vehicles
3:00pm •
Machine learning based Advance K-Means Architecture for Grass Quality Recognition
3:00pm •
Development of Flutter Mobile Application for Real-Time Plant Disease Detection Using Convolutional Neural Networks and TensorFlow Lite
3:00pm •
Smart Contract-Based Validation of Intrusion Detection Systems in Blockchain Networks
3:00pm •
Anuvaad: Integrating Technology with Indigenous Languages
3:00pm •
ARTIFICIAL INTELLIGENCE IN ORGANIZATIONAL CULTURE ASSESSMENT: TRANSFORMING INSIGHTS AND STRATEGIES
3:00pm •
GREEN ICT LEADERSHIP IN E-GOVERNANCE: STRATEGIES FOR REDUCING THE CARBON FOOTPRINT OF DIGITAL GOVERNMENT OPERATIONS
3:00pm •
Reducing 5G Modem Costs through Virtualization: Leveraging SDN, NFV, and Open RAN for Efficient, Cost-Effective Design
3:00pm •
GAMIFICATION IN HUMAN RESOURCE MANAGEMENT WITH ARTIFICIAL INTELLIGENCE: ENHANCING ENGAGEMENT AND PRODUCTIVITY
4:45pm •
Session Chair Remarks
4:50pm •
Closing Remarks
Virtual Room F
12:15pm •
Opening Remarks
12:15pm •
Advancing Energy Efficiency in 6G Networks Through Empirical Analysis of Intelligent Configuration Models
12:15pm •
EduShift: AI-driven web-based Application for Personalized Learning
12:15pm •
A Classification of Persuasive Features in Video Games: A Structured Literature Review
12:15pm •
Adaptive Ensemble Classifier for data stream analysis-Flight Stream data
12:15pm •
Comparative Evaluation of LLAMA2 in Medical Applications
12:15pm •
An Approach for Real-Time Object Tracking Integration with Adaptive Occlusion Handling on the Elderly-Care Robot
12:15pm •
Enhanced Dental Cavity Detection Using Riemannian Residual Networks and Improved Sooty Tern Optimization
12:15pm •
Electric Vehicle Sales Prediction using Machine Learning and Statistical Models
12:15pm •
A Decentralized Cloud-Based CCTV Surveillance System Using AWS S3 and Block chain for Secure Logging
12:15pm •
Predicting Problematic Internet Use Severity: A Machine Learning Approach Using Physical Activity and Behavioral Data
2:00pm •
Session Chair Remarks
2:05pm •
Closing Remarks
3:00pm •
Opening Remarks
3:00pm •
Optimizing Quantum Computer Simulator Performance: A GPU-Accelerated Approach
3:00pm •
Design and Implementation of Approximate Adders for Power Constraint Intelligent Edge Device
3:00pm •
Cyber Security and its Vulnerabilities- A Review
3:00pm •
A Comprehensive Literature Review of the function of Electronic Word of mouth in Online Social Networks
3:00pm •
Stereoscopic Scalable Quantum Convolutional Neural Networks with Banyan Tree Growth Optimization for Predicting IoT Security Attacks by Mirai Malware
3:00pm •
Enhanced Myocardial Infarction Prediction Using Stacking Ensemble Approach
3:00pm •
Cloud Network Security for Wireless Networks – A Review
3:00pm •
Blockchain Technology for Strengthening Content Protection in E-Voting
3:00pm •
Color Image Data Fusion in view of Image Thresholding and Segmentation
4:45pm •
Session Chair Remarks
4:50pm •
Closing Remarks
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