Computing the climate, Easterbrook, Steve M. (university Of Toronto)
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.
Описание: New stimuli are given, and innovative ways of modeling geologic strata by mollifier magnetometric techniques are shown. Potential data sets primarily of terrestrial origin constitute the main data basis in the book.
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.
Автор: Pham Название: Applications in Reliability and Statistical Computing ISBN: 3031212312 ISBN-13(EAN): 9783031212314 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.
Автор: Ganguli, Ranjan (viasat Inc., Phoenix, Usa) Adhikari, Sondipon (swansea University, Uk) Chakraborty, Souvik (iit Delhi, India) Ganguli, Ittika Название: Digital twin ISBN: 1032213620 ISBN-13(EAN): 9781032213620 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The digital twin of a physical system is an adaptive computer analog which exists in the cloud and adapts to changes in the physical system dynamically. This book introduces the computing, mathematical, and engineering background to understand and develop the concept of the digital twin. It provides background in modeling/simulation, computing technology, sensor/actuators, and so forth, needed to develop the next generation of digital twins. Concepts on cloud computing, big data, IoT, wireless communications, high-performance computing, and blockchain are also discussed. Features:Provides background material needed to understand digital twin technologyPresents computational facet of digital twinIncludes physics-based and surrogate model representationsAddresses the problem of uncertainty in measurements and modelingDiscusses practical case studies of implementation of digital twins, addressing additive manufacturing, server farms, predictive maintenance, and smart citiesThis book is aimed at graduate students and researchers in Electrical, Mechanical, Computer, and Production Engineering.
Описание: This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence.
It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are:Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial IntelligenceExamines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applicationsExamines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionalsProvides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fieldsIntegrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence
Описание: This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc.
Автор: Paul Curzon, Peter William Mcowan Название: Conjuring With Computation: A Manual Of Magic And Computing For Beginners ISBN: 9811264333 ISBN-13(EAN): 9789811264337 Издательство: World Scientific Publishing Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The team behind Computer Science for Fun (CS4FN), brings you Conjuring with Computation: A Manual of Magic and Computing for Beginners. Develop your skills as a magician while also learning the basics of computer science by exploring its links to magic. Each chapter explains how to do a simple magic trick, step-by-step, then uses the trick to introduce linked fundamental ideas in computer science in a fun way.By reading the book you will learn to do self-working tricks, be able to hold magic shows, create your own versions of tricks, and with creativity even invent your own. We cover:The book includes profiles of computer scientists, alongside magicians with links to technology, through history.Master conjuring and thinking computationally.
Описание: This book sheds light on systems that learn extensively, with purpose and naturally interact with humans. Improving operations and increasing competitive differentiation among manufacturing organizations by harnessing the power of cognitive abilities, IoT can help build and influence the flow of information—making the shop floor more cognitive through effective processing, analysis, and operational optimization. Now we are seeing the first-hand potential of cognitive computing—its ability to transform businesses, governments, and society. The real potential of the cognitive age can be realized by combining data analysis and statistical reasoning of machines with uniquely human qualities, such as self-directed goals, common sense, and moral values, improving operations and increasing competitive differentiation among manufacturing organizations. By harnessing the power of cognitive abilities, IoT can help build and influence the flow of information—making the shop floor more cognitive through effective processing, analysis, and operational optimization. Cognitive initiatives come in all shapes and sizes, from change to strategy and everything in between. What most successful projects have in common, no matter how ambitious, is they start with a clear view of what technology can do. Therefore, the first job of a cognitive scientists is to gain a firm understanding of cognitive abilities, as presented in this book.
Автор: Jabeen Название: Soft Computing and Optimization ISBN: 981196405X ISBN-13(EAN): 9789811964053 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book collects papers presented at the Virtual International Conference on Soft Computing, Optimization Theory and Applications (SCOTA 2021), held at the Birla Institute of Technology, Mesra, Ranchi, India, from 26–27 March 2021. Topics discussed in the book are on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book highlights research on: (a) hybrid intelligent systems based on soft computing, new concepts and algorithms based on fuzzy logic and their applications, (b) theory and practice of meta-heuristics in different areas of application, (c) applications of fuzzy logic, (d) neural networks and hybrid intelligent systems in medical applications, (e) neural networks and optimization and evolutionary algorithms and their different applications and (f) applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems. Some papers contain applications background like approximate solution of fractional differential equations via fixed-point algorithms and applications to equilibrium problems and image deburring problems. The book will be of great use to students, researchers and scientists in computer science, optimization and engineering, and those interested on computational intelligence and soft computing and their applications.
Автор: Wani Название: Deep Learning Applications, Volume 4 ISBN: 9811961522 ISBN-13(EAN): 9789811961526 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.
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