Recent Advances in Mathematics and Technology : Proceedings of the First International Conference on Technology, Engineering, and Mathematics, Kenitra, Morocco, March 26-27, 2018

Serge Dos Santos

ISBN 10: 3030352013 / ISBN 13: 9783030352011

Published by Springer International Publishing, 2020

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 analysisBig data analytics and applicationsBiomathematicsComputer engineering and applicationsEconomics and financial engineeringMedical imaging and non-destructive testingThis volume is ideal for engineers and researchers working in technological fields that need to be modeled and simulated using the tools of modern mathematics.

Seller Inventory # 9783030352011

Bibliographic Details

• Title: Recent Advances in Mathematics and Technology : Proceedings of the First International Conference on Technology, Engineering, and Mathematics, Kenitra, Morocco, March 26-27, 2018
• Publisher: Springer International Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 3030352013
• ISBN 13: 9783030352011
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 17D millimeters 241 millimeters width by 160 millimeters height by 17 millimeters depth
• Weight: 477 grams

About this title

Synopsis

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.