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Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy

Proceedings of the First International Conference, MMCITRE 2020

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2021
ISBN13: 9789811599521
Rubricering
Springer Nature Singapore e druk, 2021 9789811599521
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy,” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics, Institution of Engineers (IEI) – Gujarat and Computer Society of India (CSI) – Ahmedabad. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.

Specificaties

ISBN13:9789811599521
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

Rubbling Number of CnXCn under the Same Parity.- Oscillating Central Force Field in Cylindrical-Polar Coordinates and its Lagrange’s Equation of Motion.- Novel Results for the Factorization of Number Forms.- A Series Solution of Non-Linear Equation for Imbibition Phenom-ena in One Dimensional Heterogeneous Porous Medium.- New Class of Probability distributions arising from Teissier Dis-tribution.- Development and Application of the DMS Iterative Method Having Third Order of Convergence.- A Novel Hybrid Approach To The Sixth-Order Cahn-Hillard Time-Fractional Equation.- Cryptanalysis of IoT Based Authentication Protocol Scheme.- A&nbsp; Novel Approach of Polsar Image Classification Using Na¨ıve&nbsp; Bayes Classifier.- A Simple Optimization Algorithm for IoT Environment.- Robotic Grasp Synthesis Using Deep Learning Approaches: A Survey.<br>

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        Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy