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Mathematical Methods and Modelling in Applied Sciences -

Mathematical Methods and Modelling in Applied Sciences

Buch | Softcover
VIII, 259 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-43001-6 (ISBN)
CHF 224,65 inkl. MwSt
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This book presents a collection of original research papers from the 2nd International Conference on Mathematical and Related Sciences, held in Antalya, Turkey, on 27 - 30 April 2019 and sponsored/supported by Düzce University, Turkey; the University of Jordan; and the Institute of Applied Mathematics, Baku State University, Azerbaijan. The book focuses on various types of mathematical methods and models in applied sciences; new mathematical tools, techniques and algorithms related to various branches of applied sciences; and important aspects of applied mathematical analysis. It covers mathematical models and modelling methods related to areas such as networks, intelligent systems, population dynamics, medical science and engineering, as well as a wide variety of analytical and numerical methods. 

The conference aimed to foster cooperation among students, researchers and experts from diverse areas of mathematics and related sciences and to promote fruitful exchanges on crucial research in the field.

This book is a valuable resource for graduate students, researchers and educators interested in applied mathematics and interactions of mathematics with other branches of science to provide insights into analysing, modelling and solving various scientific problems in applied sciences. 


Fuzzy Kernel-Based Clustering and Support Vector Machine Algorithm in Analyzing Cerebral Infarction Dataset.- A predator-prey model with fear factor, Allee e ect and periodic harvesting.- Mathematical Modeling of Rock Massif Dynamics under Explosive Sources of Disturbances.- Residual Power Series Approach for Solving Linear Fractional Swift-Hohenberg Problems.- Kernel-based Fuzzy Clustering for Sinusitis Dataset.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Networks and Systems
Zusatzinfo VIII, 259 p. 129 illus., 47 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 415 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Nachrichtentechnik
Schlagworte Fuzzy Mathematics • ICMRS • ICMRS2019 • machine learning • Mathematical Algorithm • Mathematical Methods • mathematical model • Mathematics in Intelligent System • Mathematics in Smart System
ISBN-10 3-030-43001-4 / 3030430014
ISBN-13 978-3-030-43001-6 / 9783030430016
Zustand Neuware
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