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Design optimization using artificial intelligence
Design Optimization Using Artificial Intelligence serves as an insightful resource for understanding the transformative role of Artificial Intelligence (AI) in optimizing design processes across a variety of fields. This book explores foundational concepts, advanced methodologies, and real-world applications, offering a comprehensive guide to leveraging AI for innovative design solutions.Covering a broad spectrum of topics, the book examines algorithmic advancements, machine learning techniques, and optimization strategies that enhance design efficiency and accuracy. It delves into AI's applications in sustainable energy systems, biomedical innovations, image processing, cyber-security, and other critical domains, showcasing its ability to solve complex challenges with precision and creativity.The content bridges theoretical foundations with practical implementations, incorporating case studies that highlight successful applications of AI-driven design optimization. Readers will gain valuable insights into state-of-the-art tools, programming techniques, and frameworks that drive advancements in intelligent design systems.Features: Explores AI-driven methodologies for enhancing design accuracy and efficiency Discusses advanced machine learning techniques and optimization algorithms Highlights AI's applications in diverse fields such as energy systems, healthcare, image processing, and cyber-security Includes in-depth case studies to illustrate real-world implementations of AI in design optimization Investigates future trends and the potential of AI to transform traditional design processes Targeted at researchers, engineers, and students in the fields of artificial intelligence, computational science, and engineering, this book is an essential reference for anyone seeking to understand and utilize AI in the realm of design optimization. It provides the tools and knowledge necessary to harness AI's power for innovative, efficient, and intelligent 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.
Academic, Postgraduate, and Undergraduate Advanced
edited by Satya Ranjan Mishra, Apul Narayan Dev, Alok Kumar Pandey, Mukesh Kumar Awasthi.
Artificial intelligence and machine learning for intelligent engineering systems