New Paradigms in Computational Modeling and Its Applications

Erscheinungsjahr 2021
ISBN: 978-0-12-822133-4
Verlag: William Andrew Publishing

Buch, Englisch, 278 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 610 g

In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models.

New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit from mathematical methods with concepts of simulation, waves, dynamics, uncertainty, machine intelligence, and applied mathematics. The authors bring together leading-edge research on mathematics combining various fields of science and engineering. This perspective acknowledges the inherent characteristic of current research on mathematics operating in parallel over different subject fields.

New Paradigms in Computational Modeling and Its Applications meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of mathematics on the other. As such, the book contains 13 chapters covering various aspects of computational modeling from theoretical to application problems. The first six chapters address various problems of structural and fluid dynamics.

The next four chapters include solving problems where the governing parameters are uncertain regarding fuzzy, interval, and affine. The final three chapters will be devoted to the use of machine intelligence in artificial neural networks.

Autoren/Hrsg.

Chakraverty, Snehashish

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

1. Nanostructural dynamics problems with complicating effects 2. Vibration of functionally graded piezoelectric material beams 3. Vibration of microstructural elements 4. Coupled shallow water wave equations 5. Natural convection in a nanofluid flow 6. Fractional fluid mechanics systems 7. Inverse problems in diffusion processes with uncertain parameters 8. Affine approach in solving linear structural dynamic problems with uncertain parameters 9. Numerical solution of Langevin stochastic differential equation with uncertain parameters 10. Fuzzy eigenvalue problems of structural dynamics using ANN 11. Artificial neural network approach for solving fractional order applied problems 12. Speech emotion recognition using deep learning 13. A user independent hand gesture recognition system using deep CNN feature fusion and machine learning technique 14. A survey on group modeling strategies for recommender systems 15. Extraction of glacial lakes in the Himalayan region using landsat imagery

Über Autor(innen)

Chakraverty, Snehashish
Dr. Snehashish Chakraverty is a Senior Professor in the Department of Mathematics (Applied Mathematics Group), National Institute of Technology Rourkela, with over 30 years of teaching and research experience. A gold medalist from the University of Roorkee (now IIT Roorkee), he earned his Ph.D. from IIT Roorkee and completed post-doctoral work at the University of Southampton (UK) and Concordia University (Canada). He has also served as a visiting professor in Canada and South Africa. Dr. Chakraverty has authored/edited 38 books and published over 495 research papers. His research spans differential equations (ordinary, partial, fractional), numerical and computational methods, structural and fluid dynamics, uncertainty modeling, and soft computing techniques. He has guided 27 Ph.D. scholars, with 10 currently under his supervision.

He has led 16 funded research projects and hosted international researchers through prestigious fellowships. Recognized in the top 2% of scientists globally (Stanford-Elsevier list, 2020-2024), he has received numerous awards including the CSIR Young Scientist Award, BOYSCAST Fellowship, INSA Bilateral Exchange, and IOP Top Cited Paper Awards. He is Chief Editor of International Journal of Fuzzy Computation and Modelling and serves on several international editorial boards.