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Towards Intelligent Systems Modeling and Simulation = With Applications to Energy, Epidemiology and Risk Assessment /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Towards Intelligent Systems Modeling and Simulation/ edited by Samsul Ariffin Abdul Karim, Afza Shafie.
其他題名:
With Applications to Energy, Epidemiology and Risk Assessment /
其他作者:
Shafie, Afza.
面頁冊數:
XVI, 435 p. 180 illus., 152 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computer Science. -
電子資源:
https://doi.org/10.1007/978-3-030-79606-8
ISBN:
9783030796068
Towards Intelligent Systems Modeling and Simulation = With Applications to Energy, Epidemiology and Risk Assessment /
Towards Intelligent Systems Modeling and Simulation
With Applications to Energy, Epidemiology and Risk Assessment /[electronic resource] :edited by Samsul Ariffin Abdul Karim, Afza Shafie. - 1st ed. 2022. - XVI, 435 p. 180 illus., 152 illus. in color.online resource. - Studies in Systems, Decision and Control,3832198-4190 ;. - Studies in Systems, Decision and Control,27.
Convexity Preservation of The Ternary 6-point Interpolating Subdivision Scheme -- Pandemic Measures for the COVID19 Outbreak control in Malaysia: A Correlative Comparison with China -- Efficient Numerical Schemes for MHD Convection in Porous Cavity -- The impact of the New Ordering Strategy on Over relaxation variants for two dimensional Poisson’s problems -- High-order Hosoya polynomial with Collocation Approach for The Solution of Two-Point Boundary Value Problems -- Quaternion Fourier Transform of Finite Measure and its Properties -- Qn Relationship Between Ambiguity Function and Linear Canonical Ambiguity Function -- Numerical Solution of Oil Spill Weathering with Two Points Block Backward Differentiation Formula -- Visualization of Electric Field Response for A Semi Circle Transmitter in Seabed Logging -- Component Analysis of Electromagnetic Wave Propagation in a Layered Model for CSEM Hydrocarbon Surveying.
This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem solving, with the use of sophisticated software and hardware in solving complex systems and process. In the era of digital technology, mathematics and statistics need to be highly relevant to be able to cater for the needs of IR4.0 such as big data analytics, simulation, autonomous system, and cloud computing. Motivated by this development, a total of 26 chapters are contributed by respectable experts for this book. The main scope of the book is to conduct a new system of modeling and simulations on solving differential equations, nonlinear equations, energy, epidemiology, and risk assessment. This book is of interest for postgraduate students, researchers as well as other scientists who are working in numerical modeling and simulations based on efficient mathematical and statistical techniques.
ISBN: 9783030796068
Standard No.: 10.1007/978-3-030-79606-8doiSubjects--Topical Terms:
593922
Computer Science.
LC Class. No.: TA352-356
Dewey Class. No.: 515.39
Towards Intelligent Systems Modeling and Simulation = With Applications to Energy, Epidemiology and Risk Assessment /
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Convexity Preservation of The Ternary 6-point Interpolating Subdivision Scheme -- Pandemic Measures for the COVID19 Outbreak control in Malaysia: A Correlative Comparison with China -- Efficient Numerical Schemes for MHD Convection in Porous Cavity -- The impact of the New Ordering Strategy on Over relaxation variants for two dimensional Poisson’s problems -- High-order Hosoya polynomial with Collocation Approach for The Solution of Two-Point Boundary Value Problems -- Quaternion Fourier Transform of Finite Measure and its Properties -- Qn Relationship Between Ambiguity Function and Linear Canonical Ambiguity Function -- Numerical Solution of Oil Spill Weathering with Two Points Block Backward Differentiation Formula -- Visualization of Electric Field Response for A Semi Circle Transmitter in Seabed Logging -- Component Analysis of Electromagnetic Wave Propagation in a Layered Model for CSEM Hydrocarbon Surveying.
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