Design Optimization Using Artificial Intelligence

This book serves as an insightful resource for understanding the transformative role of AI in optimizing design processes across a variety of fields. It explores foundational concepts, advanced methodologies, and real-world applications, offering a comprehensive guide to leveraging AI for innovative design solutions.

1. Recent Developments in AI-Powered Mechanical Design and Optimization. 2. Fundamentals of Machine Learning for Design Optimization. 3. Case Studies in Machine Learning for Design Optimization. 4. Artificial Intelligence in Manufacturing and Production. 5. Enhancing Text Classification through Algorithmic Modifications with a Comparative Study on AI-Driven Optimization Techniques. 6. Enhancing performance of a deep neural network utilizing anova based feature selection for drought prediction. 7. Protein-Protein Interaction Prediction using Extended Natural Vector Representation of Proteins and Comparison with Natural Vector Method. 8. Utilizing an optimized CHPNN model for covid-19 cases prediction. 9. An Optimized Filter Design using Fractional Anisotropic Diffusion Technique for Image Denoising in AI Environment. 10. Role of Enhanced Visual Cryptography Algorithm in Cyber security. 11. Effective Classification of Brain Tumor using i-vector Based Radial Basis Function Network. 12. Enhancing Breast Cancer Detection: A Deep Transfer Learning Approach with AlexNet. 13. Brain Tumor Identification using DenseNet-201 Deep Learning Model. 14. IoT Empowered Video Surveillance: Enhancing Security with WiMAX Technology. 15. Automatic Gender Detection: An AI Perspective. 16. Optimal Dynamic Contraflow with Intermediate Storage by Anti-parallel Path Decomposition. 17. Heart Disease Prognosis using Machine Learning Classifier with Hyperparameter Optimization.