VVS Arcade, 18/1, Puthur High Road, Opposite to Aruna Theater, Tiruchirappalli - 620017
(+91) 9087667677 (9am - 8pm IST, Monday - Saturday)
International Conference On Emerging Trends in Artificial Intelligence & Data Science (ICETAIDS 2024) Focuses on innovative engineering contributions which are deeply fabricated for the future technological challenges to make the better future.
All Engineering Disciplines such as Computer Science Engineering, Civil Engineering, Communication Engineering, Electrical Engineering, Electronics & AI.
As an multidisciplinary Conference IC-GETA_23 welcomes Original Articles , Review Articles, Short Notes, Abstracts to discuss on its innovative research Contributions from any Engineering discipline.
| Sno | Papers Title | Author |
|---|---|---|
| 1. | Agentic AI Frameworks for Autonomous Enterprise Decision-Making: A Goal-Oriented Approach Using Large Language Models | Karthik Raj M, Priyadharshini M, Senthil Kumar R |
| 2. | Explainable Artificial Intelligence for Healthcare Diagnosis: Enhancing Transparency and Trust in Clinical Decision Support Systems | Karthik Raj M, Divya Lakshmi S |
| 3. | Federated Learning for Privacy-Preserving Medical Data Analytics in Distributed Healthcare Environments | Vignesh Kumar P, Anitha Devi R |
| 4. | Large Language Models for Intelligent Educational Assistants: Transforming Personalized Learning Experiences | Rahul Srinivasan K, Meena Prakash T |
| 5. | AI-Powered Predictive Maintenance in Smart Manufacturing: A Machine Learning Approach for Industrial Reliability | Suresh Babu N, Kavitha Raman S |
| 6. | Multimodal Deep Learning for Medical Image and Clinical Text Analysis in Intelligent Healthcare Systems | Harish Kumar V, Nandhini Rajan P |
| 7. | Edge AI for Real-Time Smart City Traffic Management and Congestion Prediction | Manoj Prakash R, Keerthana Devi S |
| 8. | Blockchain-Enabled Secure Data Sharing in AI-Driven Healthcare Systems | Ramesh Kumar D, Swetha Lakshmi M |
| 9. | Graph Neural Networks for Financial Fraud Detection in Digital Banking Systems | Senthil Kumar A, Deepika Narayanan R |
| 10. | Reinforcement Learning-Based Resource Optimization in Cloud Computing Environments | Praveen Raj K, Gayathri Shankar V |
| 11. | AI-Based Early Prediction of Chronic Diseases Using Electronic Health Records | Arun Prakash S, Meena Lakshmi R, Karthik Raman V |
| 12. | Deep Learning Approaches for Crop Disease Detection in Precision Agriculture | Vignesh Kumar P, Nandhini Devi S, Harishankar R |
| 13. | Hybrid Machine Learning Models for Energy Consumption Forecasting in Smart Grids | Rahul Srinivasan K, Priyadharshini M, Senthil Kumar R |
| 14. | Natural Language Processing for Automated Legal Document Analysis and Compliance Monitoring | Karthik Raj M, Divya Lakshmi S, Arun Prakash V |
| 15. | Cyber Threat Intelligence Using Artificial Intelligence and Big Data Analytics | Suresh Babu N, Keerthana Devi R, Praveen Kumar V |
| 16. | Explainable Deep Learning Models for Credit Risk Assessment in Modern Banking Systems | Naveen Kumar R, Shalini Priya M |
| 17. | Generative AI for Intelligent Software Development and Automated Code Generation | Arun Prakash V, Karthika Devi S, Rahul Srinivasan K |
| 18. | AI-Driven Recommendation Systems Using Knowledge Graphs for Personalized Digital Services | Vignesh Kumar P, Nandhini Rajan T |
| 19. | Sentiment Analysis of Social Media Data Using Transformer-Based Deep Learning Models | Harish Kumar V, Priyadharshini M, Senthil Raj K |
| 20. | Digital Twin and Artificial Intelligence for Smart Industrial Automation and Predictive Operations | Karthik Raj M, Divya Lakshmi S |
| 21. | AI-Enhanced Intrusion Detection Systems for Secure Internet of Things Networks | Arun Kumar S, Priya Natarajan R, Vignesh Kumar P |
| 22. | Machine Learning-Based Customer Churn Prediction in Telecommunications Industry | Karthik Raj M, Divya Lakshmi S |
| 23. | Deep Reinforcement Learning for Autonomous Drone Navigation in Dynamic Environments | Harish Kumar V, Nandhini Rajan P, Senthil Kumar R |
| 24. | Artificial Intelligence for Climate Change Prediction and Environmental Monitoring | Rahul Srinivasan K, Meena Prakash T |
| 25. | Hybrid CNN-Transformer Models for Human Activity Recognition in Smart Healthcare Systems | Suresh Babu N, Keerthana Devi R, Praveen Kumar V |