Artificial Intelligence and Machine Learning Applications for Sustainable Development

1. Comprehensive Framework and Classification of Advanced Artificial Intelligence and Machine Learning Modelling Techniques. 2. Sustainable Development Using Renewable Energy Sources: Artificial Intelligence & Machine Learning contribution. 3. Artificial Intelligence as a tool for building more resilient cities in the climate change era: A systematic literature review. 4. Achieving Sustainable Development Goals through Knowledge Management in Industry 4.0: A Critical Review from the Perspective of Bangladesh. 5. Harmonizing Innovation and Accountability: The Intersection of Artificial Intelligence and Machine Learning in Sustainable Development. 6. A New Innovative Methodology for Photovoltaic Integration on Rooftops for Cost Reduction and Reduced Grid Dependency. 7. A Residual Deep Neural Network Based Non-Invasive system for Tomato Crop Health Monitoring, Disease Type Identification and Remedial Measures. 8. Advancements in Healthcare: Machine Learning Applications for quick Disease Diagnostics and Individualized Treatment. 9. IoT Based Home Automation using NODEMCU. 10. Stabilization and Synchronization of Chen-Lee Chaotic System using Sliding Mode Control Approach. 11. Application of Machine Learning Models for Power Systems Security Assessment. 12. Machine learning and deep learning models for effective forecasting of renewable energy generation. 13. Unlocking Predictive Potential: An Innovative Approach for Accuracy Enhancement in Software Effort Estimation. 14. Deep Learning-based Approach to Predict Software Faults