Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies, Sindhwani, Nidhi ; Anand, Rohit ; George, A
Автор: Thrun, Sebastian Название: Probabilistic robotics ISBN: 0262201623 ISBN-13(EAN): 9780262201629 Издательство: MIT Press Рейтинг: Цена: 95930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
An introduction to the techniques and algorithms of the newest field in robotics.
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Автор: Kandasamy, Jayakrishna Название: Smart Manufacturing Technologies for Industry 4.0 ISBN: 1032033088 ISBN-13(EAN): 9781032033082 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T Наличие на складе: Нет в наличии.
Автор: Karimi, Hamid Reza Название: Fundamental Design And Automation Technologies In Offshore Robotics ISBN: 0128202718 ISBN-13(EAN): 9780128202715 Издательство: Elsevier Science Рейтинг: Цена: 158330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Fundamental Design and Automation Technologies in Offshore Robotics introduces technological design, modelling, stability analysis, control synthesis, filtering problem and real time operation of robotics vehicles in offshore environments.
The book gives numerical and simulation results in each chapter to reflect the engineering practice yet demonstrate the focus of the developed analysis and synthesis approaches. The book is ideal to be used as a reference book for senior and graduate students. It is written in a way that the presentation is simple, clear, and easy to read and understand which would be appreciated by graduate students. Researchers working on marine vehicles and robotics would be able to find reference material on related topics from the book.
The book could be of a significant interest to the researchers within offshore and deep see society, including both academic and industrial parts.
Novel strategies for data-driven evolutionary optimization
Machine learning using distance-based methods
Counting cells and predicting immunoscore using gradient boosted convolutional neural networks
Kubelka-Munk model and stochastic model comparison in skin physical parameter retrieval using neural networks
A combined approach of neural networks and graphical models in skin cancer inference using spectral imaging
Using wave propagation simulations and convolutional neural networks to retrieve thin coating's thickness from hyperspectral images
Predicting future overweight and obesity from childhood growth data: A case study
Variable selection under a value acquisition budget
Stochastic approximation by successive piecewise linearization
Non-convex robust low-rank matrix recovery
Neural network learning via successive piecewise linearization
Learning for scientific computing purposes
Computational intelligence in design of new nanomaterials
Modeling flow, reactive transport and geomechanics in porous media
Physics constrained machine learning for industrial applications
Parameter and type identification in partial differential equations using deep neural networks
Stability maximization for layered moving web with total mass constraint
Similarity solutions for condensation on a non-isothermal vertical plate
Enhanced topology optimization approach using moving morphable components coupled with NURBS curves
Combined model order reduction and artificial neural network for data assimilation and damage detection in structures
Towards the optimization of fuzzy pattern trees by abs - linearization
Support vector machines in clusterwise linear regression
A Second-order method with enriched hessian information for composite sparse optimization problems
Missing value imputation via nonsmooth optimization and clusterwise linear regression
Parsimonious neural networks
Nobody can stop advancing artificial intelligence (AI) where developing
Computational sciences, physics field theories and geometry
Mini-symposium on ethics in AI
Essentializing software engineering practices for ethically designing and developing artificial intelligence systems 30 Ethics is important, but how can we implement it? Survey on software developers' views on AI ethics
Industrial IoT capabilities in reducing the LCOE of offshore wind energy: A review
High-Performance data analysis with the Helmholtz Analytics Toolkit (HeAT)
Dynamic data-driven application systems based on tensor factorization: learning the physics of model evolution
Predicting customer experience
Puhti-AI: Finland's new AI supercomputer
Using Artificial Intelligence to Classify Textual Applications for Reporting Purposes Application of machine learning methods to error control of approximate solutions
Iterative data selection strategy in offline data-driven evolutionary multiobjective optimization
On surrogate management in interactive multiobjective building energy system design
A modified deep neural network for the rapid inversion of geo-physical resistivity measurements
Using agents for automatic meta-modelling algorithm selection in data-driven multiobjective optimization problems
Future cooperation between Computational Science and AI in Industrial and Societal Applications - challenges, impact and expectations?
Artificial Intelligence, Deep Lea
Автор: Szewczyk Roman, Zieliński Cezary, Kaliczyńska Malgorzata Название: Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques ISBN: 3031035011 ISBN-13(EAN): 9783031035012 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It contains papers authored by both scientists and practitioners focused on an interdisciplinary approach to developing measuring techniques, robotic and mechatronic systems, industrial automation, numerical modelling and simulation, and application of artificial intelligence techniques required by the transformation leading to Industry 4.0.
Автор: Tuovinen Название: Computational Sciences and Artificial Intelligence in Industry ISBN: 303070789X ISBN-13(EAN): 9783030707897 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.
Автор: Jack W. Plunkett Название: Plunkett`s Manufacturing & Robotics Industry Almanac 2017: Manufacturing & Robotics Industry Market Research, Statistics, Trends & Leading Companies ISBN: 1628314176 ISBN-13(EAN): 9781628314175 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 292590.00 T Наличие на складе: Невозможна поставка. Описание: Plunkett's Manufacturing & Robotics Industry Almanac presents a complete analysis of the manufacturing business, including such related areas as research and development (R&D), engineering and design, outsourcing, offshoring, factory automation and supply chain. The almanac also features in-depth coverage of robotics. This market research tool includes our analysis of the major trends affecting the global manufacturing industry, from the developments in firms reshoring their manufacturing operations to the U.S., nearshoring to Mexico and Central America, rising wages in China, China’s move to higher value manufacturing, and the movement of lower value manufacturing, such as apparel, to such nations as Pakistan and The Philippines. In addition, we provide major statistical tables covering the industry, from revenues to investment in R&D to employment to wages. No other source provides this book’s easy-to-understand comparisons of growth, expenditures, technologies, imports/exports, corporations, research and other vital subjects. You get our in-depth profiles on the top 500 global manufacturing and robotics companies—objective analysis of the largest and most exciting companies in: automotive manufacturing, steel and metals, telecommunications equipment, computer hardware and consumer electronics, contract manufacturing, chemicals, refining, aerospace, building materials and much, much more. We cover companies in all manufacturing sectors. Our research effort includes an exhaustive study of new technologies and discussions with experts at dozens of innovative tech companies. Purchasers will find a form in the book enabling them to register for 1-year, 1-seat online access to tools at Plunkett Research Online, including the ability to view the market research/industry trends section and industry statistics. You have access, at no additional charge, to the very latest data posted to Plunkett Research Online. Online tools enable you to search and view selected companies, and then export selected company contact data, including executive names. You'll find a complete overview, industry analysis and market research report in one superb, value-priced package.
Автор: Jack W. Plunkett Название: Plunkett`s Manufacturing & Robotics Industry Almanac 2016: Manufacturing & Robotics Industry Market Research, Statistics, Trends & Leading Companies ISBN: 1628313757 ISBN-13(EAN): 9781628313758 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 292590.00 T Наличие на складе: Невозможна поставка. Описание: Plunkett's Manufacturing & Robotics Industry Almanac presents a complete analysis of the manufacturing business, including such related areas as research and development (R&D), engineering and design, outsourcing, offshoring, factory automation and supply chain. The almanac also features in-depth coverage of robotics. This market research tool includes our analysis of the major trends affecting the global manufacturing industry, from the developments in firms reshoring their manufacturing operations to the U.S., nearshoring to Mexico and Central America, rising wages in China, China’s move to higher value manufacturing, and the movement of lower value manufacturing, such as apparel, to such nations as Pakistan and The Philippines. In addition, we provide major statistical tables covering the industry, from revenues to investment in R&D to employment to wages. No other source provides this book’s easy-to-understand comparisons of growth, expenditures, technologies, imports/exports, corporations, research and other vital subjects. You get our in-depth profiles on the top 500 global manufacturing and robotics companies—objective analysis of the largest and most exciting companies in: automotive manufacturing, steel and metals, telecommunications equipment, computer hardware and consumer electronics, contract manufacturing, chemicals, refining, aerospace, building materials and much, much more. We cover companies in all manufacturing sectors. Our research effort includes an exhaustive study of new technologies and discussions with experts at dozens of innovative tech companies. Purchasers will find a form in the book enabling them to register for 1-year, 1-seat online access to tools at Plunkett Research Online, including the ability to view the market research/industry trends section and industry statistics. You have access, at no additional charge, to the very latest data posted to Plunkett Research Online. Online tools enable you to search and view selected companies, and then export selected company contact data, including executive names. You'll find a complete overview, industry analysis and market research report in one superb, value-priced package.
Автор: Caldwell,Darwin G Название: Robotics And Automation In The Food Industry ISBN: 1845698010 ISBN-13(EAN): 9781845698010 Издательство: Elsevier Science Рейтинг: Цена: 218960.00 T Наличие на складе: Нет в наличии.
Автор: Jack W. Plunkett Название: Plunkett`s Manufacturing & Robotics Industry Almanac 2018: Manufacturing, Automation & Robotics Industry Market Research, Statistics, Trends & Leading Companies ISBN: 1628314524 ISBN-13(EAN): 9781628314526 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 317670.00 T Наличие на складе: Невозможна поставка. Описание: Plunkett's Manufacturing & Robotics Industry Almanac presents a complete analysis of the manufacturing business, including such related areas as research and development (R&D), engineering and design, outsourcing, offshoring, factory automation and supply chain. The almanac also features in-depth coverage of robotics. This market research tool includes our analysis of the major trends affecting the global manufacturing industry, from the developments in firms reshoring their manufacturing operations to the U.S., nearshoring to Mexico and Central America, rising wages in China, China’s move to higher value manufacturing, and the movement of lower value manufacturing, such as apparel, to such nations as Pakistan and The Philippines. In addition, we provide major statistical tables covering the industry, from revenues to investment in R&D to employment to wages. No other source provides this book’s easy-to-understand comparisons of growth, expenditures, technologies, imports/exports, corporations, research and other vital subjects. You get our in-depth profiles on the top 500 global manufacturing and robotics companies—objective analysis of the largest and most exciting companies in: automotive manufacturing, steel and metals, telecommunications equipment, computer hardware and consumer electronics, contract manufacturing, chemicals, refining, aerospace, building materials and much, much more. We cover companies in all manufacturing sectors. You'll find a complete overview, industry analysis and market research report in one superb, value-priced package.
Автор: Vijayan Sugumaran Название: Developments and Trends in Intelligent Technologies and Smart Systems ISBN: 1522536868 ISBN-13(EAN): 9781522536864 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 208830.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents scholarly material on the design, implementation, and integration of intelligent applications across numerous industries. Highlighting a range of innovative topics such as enterprise modelling, remote patient monitoring, and service-oriented architecture, this book is designed for researchers, engineers, computer scientists, academics, students, and professionals.
Автор: Nakamatsu Название: Advanced Intelligent Technologies for Industry ISBN: 9811697345 ISBN-13(EAN): 9789811697340 Издательство: Springer Рейтинг: Цена: 204970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book includes new research results of scholars from the Second International Conference on Advanced Intelligent Technologies (ICAIT 2021) subtitled Intelligent Technology and Industry organized by IRNet International Academic Communication Center, held during October 15–17, 2021. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, business, etc. The book focuses on theory, design, development, testing, and evaluation of all intelligent technologies applicable/applied to various parts of industry and its infrastructure. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.
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