Research Anthology on Cross-Industry Challenges of Industry 4.0, VOL 3, Management Association Information R.
Автор: Management Association Information R. Название: Research Anthology on Cross-Industry Challenges of Industry 4.0, VOL 4 ISBN: 1668433451 ISBN-13(EAN): 9781668433454 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 425110.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Management Association Information R. Название: Research Anthology on Cross-Industry Challenges of Industry 4.0, VOL 2 ISBN: 1668433435 ISBN-13(EAN): 9781668433430 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 425110.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Management Association Information R. Название: Research Anthology on Cross-Industry Challenges of Industry 4.0, VOL 1 ISBN: 1668433427 ISBN-13(EAN): 9781668433423 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 425110.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Название: Industry 4.0, ai, and data science ISBN: 0367562855 ISBN-13(EAN): 9780367562854 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed.
Автор: Chakrabarti Amaresh, Arora Manish Название: Industry 4.0 and Advanced Manufacturing: Proceedings of I-4am 2019 ISBN: 9811556881 ISBN-13(EAN): 9789811556883 Издательство: Springer Цена: 232910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Industry 4.0-Connected Drives using OPC UA.- Conceptual Framework to Assess the Maturity and Readiness towards Industry 4.0.- Prioritizing drivers of Industry 4.0 enabling Additive Manufacturing: A Case Study.- IoT and Semantic based Manufacturing System in the era of Industry 4.0.- Towards Socio-technical Network Analysis (STNA) in the connected world of Industry 4.0 and Digital Manufacturing.- Intelligent Analytics for Factory Energy Efficiency.- Smart Multi-Material Weight Tracking Resource Bin.- A Conceptual Model for Smart Manufacturing Systems.- Casting Yield Improvement using Modeling and Simulation Technique.- Comparison of Two Different Simulation Methods for the Finite Element Analysis of Electromagnetic Forming and Perforation (EMFP) of Tubes.
Автор: Kravets Alla G. Название: Robotics: Industry 4.0 Issues & New Intelligent Control Paradigms ISBN: 3030378438 ISBN-13(EAN): 9783030378431 Издательство: Springer Цена: 313490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The authors also illustrate the integration of deep-learning methods and mathematical modeling based on examples of successful robotic systems in various countries, and analyze the connections between robotic modeling and design from the positions of new industrial challenges.
Автор: Clinton Aigbavboa; Wellington Thwala Название: The Construction Industry in the Fourth Industrial Revolution ISBN: 3030265277 ISBN-13(EAN): 9783030265274 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book gathers papers from the 11th Construction Industry Development Board (cidb) Postgraduate Research Conference, held on 28-30 July 2019 in Johannesburg, South Africa. The conference provided an essential forum for reviewing and generating knowledge on Construction 4.0 and, consequently, highlighted processes and practices that allow us to deliver and operate built environment assets more effectively and efficiently by focusing on physical-to-digital and digital-to-physical transformation. The event addressed three broad themes:
Industrial production (prefabrication, 3-D printing and assembly, offsite and advanced manufacturing);
Cyber-physical systems (actuators, sensors, IoT, robots and cobots for repetitive and dangerous tasks, and drones for mapping, progress monitoring, safety and quality inspections, lifting, moving and positioning); and
Technologies (digital ecosystems, digital platforms, BIM, video and laser scanning, AI and cloud computing, big data and data analytics, reality capture, blockchain, simulation, virtual and augmented reality, data standards and interoperability, and vertical and horizontal integration).
Given its scope, the book will be of interest to all construction industry and architectural professionals who want to learn about cutting-edge technologies applied to construction
Название: Research Anthology on Cross-Disciplinary Designs and Applications of Automation ISBN: 1668436949 ISBN-13(EAN): 9781668436943 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 843610.00 T Наличие на складе: Нет в наличии. Описание: A comprehensive resource on the emerging designs and application of automation. This collection features a number of authors spanning multiple disciplines such as home automation, healthcare automation, government automation, and more, covering topics such as human-machine interaction, trust calibration, and sensors.
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?
Автор: Soumya Ranjan Nayak Название: Smart sensor networks using ai for industry 4.0 ISBN: 0367702126 ISBN-13(EAN): 9780367702120 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Smart Sensor Networks (WSNs) using AI have left a mark on the lives of all by aiding in various sectors, such as manufacturing, education, healthcare, and monitoring of the environment and industries. This book covers recent AI applications and explores aspects of modern sensor technologies and the systems needed to operate them. The book reviews the fundamental concepts of gathering, processing, and analyzing different AI-based models and methods. It covers recent WSN techniques for the purpose of effective network management on par with the standards laid out by international organizations in related fields and focuses on both core concepts along with major applicational areas.The book will be used by technical developers, academicians, data sciences, industrial professionals, researchers, and students interested in the latest innovations on problem-oriented processing techniques in sensor networks using IoT and evolutionary computer applications for Industry 4.0.
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