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＜電子ブック＞
Recent Advances in Mathematics and Technology : Proceedings of the First International Conference on Technology, Engineering, and Mathematics, Kenitra, Morocco, March 26-27, 2018 / edited by Serge Dos Santos, Mostafa Maslouhi, Kasso A. Okoudjou
(Applied and Numerical Harmonic Analysis. ISSN:22965017)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Birkhäuser)
出版年	2020
大きさ	XXI, 181 p. 53 illus., 47 illus. in color : online resource
著者標目	Dos Santos, Serge editor Maslouhi, Mostafa editor Okoudjou, Kasso A editor SpringerLink (Online service)
件　名	LCSH:Mathematical models LCSH:Mathematical physics LCSH:Fourier analysis FREE:Mathematical Modeling and Industrial Mathematics FREE:Mathematical Physics FREE:Fourier Analysis
一般注記	Part I Mathematical Modeling -- The two-sided Gabor Quaternionic Fourier transform and uncertainty principles -- Reflected backward SDEs in a convex polyhedron -- On the energy decay of a nonhomogeneous hybrid system of elasticity -- Part II Advanced Mathematics for Imaging -- Advanced ground truth multimodal imaging using Time Reversal (TR) based Nonlinear Elastic Wave Spectroscopy (NEWS): medical imaging trends versus non-destructive testing applications -- A geometrically constrained manifold embedding for an extrinsic Gaussian process -- Numerical study of SIF for a crack in P265GH steel by XFEM -- Part III Computer Sciences and Smart Technologies -- Hardware acceleration of SVM training for real-time embedded systems: Overview -- Integrating intelligent tutoring system into an adaptive E-Learning process -- NDN VS TCP/IP: Which one is the best suitable for connected vehicles? -- A new optimization method to Enhance QoS in OLSR protocol -- Predictive analysis for diabetes using Big Data classification The chapters in this volume are based on talks given at the inaugural Technology, Engineering and Mathematics Conference (TEM18), held from March 26 to 27, 2018 in Kenitra, Morocco. Advances in mathematical modeling, optimization, numerical analysis, signal processing, and computer science are presented by leading experts in these fields. There is a particular emphasis on stochastic analysis, machine learning algorithms, and deep learning models, which are highly relevant to the state-of-the-art in augmented, virtual, and mixed realities. Topics include: Harmonic analysis Big data analytics and applications Biomathematics Computer engineering and applications Economics and financial engineering Medical imaging and non-destructive testing This volume is ideal for engineers and researchers working in technological fields that need to be modeled and simulated using the tools of modern mathematics HTTP:URL=https://doi.org/10.1007/978-3-030-35202-8

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