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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 wo… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code needed.
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.
1. Nanostructural dynamics problems with complicating effects
Subrat Kumar Jena and Snehashish Chakraverty
2. Vibration of functionally graded piezoelectric material beams
K.K. Pradhan and Snehashish Chakraverty
3. Vibration of microstructural elements
Subrat Kumar Jena, Rashmita Mundari, and Snehashish Chakraverty
4. Coupled shallow water wave equations
P. Karunakar and Snehashish Chakraverty
5. Natural convection in a nanofluid flow
U. Biswal, Snehashish Chakraverty, and B.K. Ojha
6. Fractional fluid mechanics systems
Rajarama Mohan Jena and Snehashish Chakraverty
7. Inverse problems in diffusion processes with uncertain parameters
T.D. Rao and Snehashish Chakraverty
8. Affine approach in solving linear structural dynamic problems with uncertain parameters
S. Rout and Snehashish Chakraverty
9. Numerical solution of Langevin stochastic differential equation with uncertain parameters
Sukanta Nayak and Snehashish Chakraverty
10. Fuzzy eigenvalue problems of structural dynamics using ANN
S.K. Jeswal and Snehashish Chakraverty
11. Artificial neural network approach for solving fractional order applied problems
Susmita Mall and Snehashish Chakraverty
12. Speech emotion recognition using deep learning
Tanmoy Roy, Marwala Tshilidzi, and Snehashish Chakraverty
13. A user independent hand gesture recognition system using deep CNN feature fusion and machine learning technique
Jaya Prakash Sahoo, Samit Ari, and Sarat Kumar Patra
14. A survey on group modeling strategies for recommender systems
Jitendra Kumar, Y.V. Ramanjaneyulu, Korra Sathya Babu, and Bidyut Kumar Patra
15. Extraction of glacial lakes in the Himalayan region using landsat imagery
Jagadeesh Thati, Samit Ari, and Kajal Agrawal
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