New Paradigms in Computational Modeling and Its Applications
Published on 16. January 2021
Book
Paperback/Softback
278 pages
978-0-12-822133-4 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 15 mm
Weight
487 gr
ISBN-13
978-0-12-822133-4 (9780128221334)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Snehashish Chakraverty
New Paradigms in Computational Modeling and Its Applications
E-Book
01/2021
Academic Press
€148.00
Available for download
Person
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.
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.
Content
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
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