1. Leveraging Artificial Intelligence for Educational Transformation: A Critical Study of the Indian Context
2. A Study on Artificial Intelligence and its Role in Medical Image Analysis
3. An Overview of Machine Learning: Concepts, Algorithms and Applications
4. Natural Language Processing: Food Habits Based Disease Prediction Using Large Language Models)
5. Convolutional Neural Network-Based Plant Leaf Disease Classification: Implications for Society and Agriculture
6. Classifying the Social World: Algorithms and Applications in Computational Social Science
7. Social Network Analysis: Need, Data Collection, API’s, Data Preprocessing, Feature Engineering Techniques.
8. Feature Selection in DNA Microarray Data: Insights for Healthcare and Social Science Applications through Machine Learning
9. Self-supervised Learning for Pathological Speech Detection
10. Analyzing the Social Consequences of Lung Cancer Risk Prediction with Lifestyle Data: A Comparative Study of Machine Learning Techniques
11. Adversarial Learning for Enhancing Security in Cobot-Driven Industries: A Machine Learning Approach to Risk Mitigation
12. Cybersecurity Challenges in Energy Harvesting Systems: A Machine Learning Approach to Safeguarding Industrial IoT Networks
13. Integrating Transfer Learning Techniques for Automated Recognition of Medicinal Plant Leaves in Computational Social Science