Design Optimization Using Artificial Intelligence

Herausgeber: Pandey, Alok Kumar Dehradun; Mishra, Satya Ranjan; Awasthi, Mukesh Kumar; Dev, Apul Narayan

• Gebundenes Buch

Produktbeschreibung

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.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 384
• Erscheinungstermin: 17. Juni 2025
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781032964942
• ISBN-10: 1032964944
• Artikelnr.: 72600419

Autorenporträt

Satya Ranjan Mishra currently works as Professor, Department of Mathematics, Siksha O Anusandhan Deemed to be University, Bhubaneswar. He has 19 years of teaching experience in both PG and UG level. He did his Ph.D. from Siksha O Anusandhan in 2013 and since then actively engaged in his research work. His area of interest is Heat transfer, Magnetohydrodynamics, Porous media, etc. with the broad area of Fluid Dynamics. He has published nearly 250 papers in the international journals of repute, and all are either SCI or Scopus indexed that can be viewed in various databases like Scopus, Research gate, Google scholar, etc. With a huge citation of his work, he took a position of Top 2% World Scientists by Stanford University, USA in 4 consecutive years i.e., 2020-2023. Apul Narayan Dev currently works as Associate Professor and Coordinator, Centre for Data Science, Siksha O Anusandhan Deemed to be University, Bhubaneswar. He has 12 years of teaching experience in both PG and UG level. He did his M.Phil and PhD from Gauhati University in 2011 and 2016 respectively. His area of interest is Basic Study of theoretical Plasmas, Degenerate and Non-degenerate Plasmas, Mathematical method, Fluid flow, etc. with the broad area of Plasmas and Fluid Dynamics. He has published nearly 45 papers in the repute international journals, and all are either SCI or Scopus indexed that can be viewed in various databases like Scopus, Research gate, Google scholar, etc. Alok Kumar Pandey is an Assistant Professor in the Department of Mathematics, Graphic Era (Deemed to be University), Dehradun, Uttarakhand, India. He obtained his PhD from Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India. His area of research is Computational Fluid Dynamics. He has published more than 60 research articles in International Journals. He was included in the World's Top 2% Scientists 2023 list (by Stanford University). He was awarded with Publons Peer Review Award in 2018. He is a certified reviewer of more than 100 international journals. He is currently the Editor for the Open Physics and Journal of Engineering Researcher and Lecturer, Associate Editor for the Journal of Advanced Research in Numerical Heat Transfer, and Journal of Advanced Research in Micro and Nano Engineering and serving as a member of the editorial board for journals such as Teknomekanik and SCIREA Journal of mathematics. His scientific metrics according to Google Scholar show h-index=30, Citations=2126 and i10-index=43. Mukesh Kumar Awasthi has done his Ph.D. on the topic "Viscous Correction for the Potential Flow Analysis of Capillary and Kelvin-Helmholtz instability". He is working as an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University, Lucknow. Dr. Awasthi is specialized in the mathematical modeling of flow problems. He has taught courses of Fluid Mechanics, Discrete Mathematics, Partial differential equations, Abstract Algebra, Mathematical Methods, and Measure theory to postgraduate students. He has acquired excellent knowledge in the mathematical modeling of flow problems, and he can solve these problems analytically as well as numerically. He has a good grasp of the subjects like viscous potential flow, electro-hydrodynamics, magneto-hydrodynamics, heat, and mass transfer. He has excellent communication skills and leadership qualities. He is self-motivated and responds to suggestions in a more convincing manner. Dr. Awasthi has qualified National Eligibility Test (NET) conducted on all India level in the year 2008 by the Council of Scientific and Industrial Research (CSIR) and got Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) for doing research.

Inhaltsangabe

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.