Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development, Jain, Madhu
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 9978.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
Автор: Brunton, Steven L. (university Of Washington) Kutz Название: Data-driven science and engineering ISBN: 1009098489 ISBN-13(EAN): 9781009098489 Издательство: Cambridge Academ Рейтинг: Цена: 7918.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.
Автор: Janusz Bedkowski Название: Large-Scale Simultaneous Localization and Mapping ISBN: 9811919712 ISBN-13(EAN): 9789811919718 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is dedicated for engineers and researchers who would like to increase the knowledge in area of mobile mapping systems.
Автор: Parikshit Narendra Mahalle , Nancy Ambritta P. , S Название: Foundations of Mathematical Modelling for Engineering Problem Solving ISBN: 9811988277 ISBN-13(EAN): 9789811988271 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.
Описание: This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems.This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results.
Описание: In this book, the authors explore technological advances in the fields of multimedia processing and mathematical modeling by highlighting the latest research in this field, discussed at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08-11, 2019 in Marrakech, Morocco.
Описание: This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.
Описание: The conference proceeding of ICMMCS 2021 presents most recent scientific and technological advances in the fields of engineering mathematics and computational science to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the Second International Conference on Mathematical Modeling and Computational Science (ICMMCS 2021), held online during October 29–30, 2021. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, Internet of Things (IoT).
Описание: This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike.
Автор: Langer Название: Scientific Computing in Electrical Engineering ISBN: 3319755374 ISBN-13(EAN): 9783319755373 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Foreword.- Preface.- Acknowledgements.- Part I Computational Electromagnetics: 1 Preliminary Numerical Study on Electrical Stimulation at Alloplastic Reconstruction Plates of the Mandible by Ursula van Rienen et al.- 2 Evaluation of Capacitive EMG Sensor Geometries by Simulation and Measurement by Theresa Roland et al.- 3 Stability Analysis of Electromagnetic Transient Simulations by Wim Schoenmaker et al.- 4 Sensitivity of Lumped Parameters to Geometry Changes in Finite Element Models by Sebastian Schuhmacher et al.- 5 Electro-Thermal Simulations with Skin-Layers and Contacts by Christoph Winkelmann et al.- Part II Circuit and Device Modelling & Simulation: 6 Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation by Eric R. Keiter et al.- 7 Coupled Circuit Device Simulation by Kai Bittner et al.- Part III Coupled Problems and Multi-Scale Approaches in Space and Time: 8 Density Estimation Techniques in Cosimulation Using Spectral- and Kernel Methods by Kai Gausling et al.- 9 Multirate DAE/ODE-Simulation and Model Order Reduction for Coupled Field-Circuit Systems by Christoph Hachtel et al.- 10 Modelling and Simulation of Electrically Controlled Droplet Dynamics by Yun Ouйdraogo et al.-Part IV Mathematical and Computational Methods Including Uncertainty Quantification: 11 Multirate Shooting Method with Frequency Sweep for Circuit Simulation by Kai Bittner et al.- 12 A Trefftz Method for the Time-Harmonic Eddy Current Equation by Raffael Casagrande et al.- 13 Survey on Semi-Explicit Time Integration of Eddy Current Problems by Jennifer Dutinй et al.- 14 A Local Mesh Modification Strategy for Interface Problems with Application to Shape and Topology Optimization by Peter Gangl et al.- 15 Numerical Methods for Derivative-Based Global Sensitivity Analysis in High Dimensions by Qingzhe Liu et al.- 16 Fitting Generalized Gaussian Distributions for Process Capability Index by Theo G.J. Beelen et al.- 17 Robust Optimization of an RFIC Isolation Problem Under Uncertainties by Piotr Putek et al.- Part V Model Order Reduction: 18 Sparse Model Order Reduction for Electro-Thermal Problems with Many Inputs by Nicodemus Banagaaya et al.- 19 Quadrature Methods and Model Order Reduction for Sparse Approximations in Random Linear Dynamical Systems by Roland Pulch.- 20 POD-Based Reduced-Order Model of an Eddy-Current Levitation Problem by MD Rokibul Hasan et al.- 21 Time-Domain Reduced-Order Modelling of Linear Finite-Element Eddy-Current Problems via RL-Ladder Circuits by Ruth V. Sabariego et al.- Part VI Industrial Applications: 22 A Lagrangian Approach to the Simulation of a Constricted Vacuum Arc in a Magnetic Field by Massimiliano Cremonesi et al.- 23 Virtual High Voltage Lab by Andreas Blaszczyk et al.- Index.
Автор: Wang Jing, Zhou Jinglin, Chen Xiaolu Название: Data-Driven Fault Detection and Reasoning for Industrial Monitoring ISBN: 9811680434 ISBN-13(EAN): 9789811680434 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This open access book assesses the potential of data-driven methods in industrial process monitoring engineering.
Автор: P. Angelov; K.T. Atanassov; L. Doukovska; M. Hadji Название: Intelligent Systems`2014 ISBN: 3319113127 ISBN-13(EAN): 9783319113128 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers included in the two proceedings volumes have been subject to a thorough review process by three highly qualified peer reviewers.Comments and suggestions from them have considerable helped improve the quality of the papers but also the division of the volumes into parts, and assignment of the papers to the best suited parts.
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