New Paradigms in Computational Modeling and Its Applications

New Paradigms in Computational Modeling and Its Applications

1st Edition - January 9, 2021

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  • Editor: Snehashish Chakraverty
  • Paperback ISBN: 9780128221334
  • eBook ISBN: 9780128221686

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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.

Key Features

  • Presents a self-contained and up to date review of modelling real life scientific and engineering application problems
  • Introduces new concepts of various computing techniques to handle different engineering and science problems
  • Demonstrates the efficiency and power of the various algorithms and models in a simple and easy to follow style, including numerous examples to illustrate concepts and algorithms

Readership

Students, educators, and researchers in the field of computational biology, mathematical physiology, biomedical engineering, mathematics, physics, data science

Table of Contents

  • 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

Product details

  • No. of pages: 278
  • Language: English
  • Copyright: © Academic Press 2021
  • Published: January 9, 2021
  • Imprint: Academic Press
  • Paperback ISBN: 9780128221334
  • eBook ISBN: 9780128221686

About the Editor

Snehashish Chakraverty

Dr. Snehashish Chakraverty has over thirty years of experience as a teacher and researcher. Currently, he is a Senior Professor in the Department of Mathematics (Applied Mathematics Group) at the National Institute of Technology Rourkela, Odisha, India. He has a Ph.D. from IIT Roorkee in Computer Science. Thereafter he did his post-doctoral research at Institute of Sound and Vibration Research (ISVR), University of Southampton, U.K. and at the Faculty of Engineering and Computer Science, Concordia University, Canada. He was also a visiting professor at Concordia and McGill Universities, Canada, and visiting professor at the University of Johannesburg, South Africa. He has authored/co-authored 14 books, published 315 research papers in journals and conferences, and has four more books in development. Dr. Chakraverty is on the Editorial Boards of various International Journals, Book Series and Conferences. Dr. Chakraverty is the Chief Editor of the International Journal of Fuzzy Computation and Modelling (IJFCM), Associate Editor of Computational Methods in Structural Engineering, Frontiers in Built Environment, and is the Guest Editor for several other journals. He was the President of the Section of Mathematical sciences (including Statistics) of the Indian Science Congress. His present research area includes Differential Equations (Ordinary, Partial and Fractional), Soft Computing and Machine Intelligence (Artificial Neural Network, Fuzzy and Interval Computations), Numerical Analysis, Mathematical Modeling, Uncertainty Modelling, Vibration and Inverse Vibration Problems.

Affiliations and Expertise

Full Professor, Department of Mathematics, Applied Mathematics Group, National Institute of Technology Rourkela, Rourkela, Odisha, India

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