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Computational Sciences and Artificial Intelligence in Industry: New Digital Technologies for Solving Future Societal and Economical Challenges, Tuovinen Tero, Periaux Jacques, Neittaanmдki Pekka


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Автор: Tuovinen Tero, Periaux Jacques, Neittaanmдki Pekka
Название:  Computational Sciences and Artificial Intelligence in Industry: New Digital Technologies for Solving Future Societal and Economical Challenges
ISBN: 9783030707866
Издательство: Springer
Классификация:

ISBN-10: 3030707865
Обложка/Формат: Hardcover
Страницы: 275
Вес: 0.58 кг.
Дата издания: 23.09.2021
Серия: Intelligent systems, control and automation: science and engineering
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 40 tables, color; 71 illustrations, color; 23 illustrations, black and white; xv, 275 p. 94 illus., 71 illus. in color.
Размер: 23.39 x 15.60 x 1.75 cm
Читательская аудитория: Professional & vocational
Подзаголовок: New digital technologies for solving future societal and economical challenges
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:
  • 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 coatings 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: Finlands 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
    Дополнительное описание: Chapter 1. Co-development of Methodology, Applications,and Hardware in Computational Science and Arti?cial Intelligence .- Chapter 2. Novel Strategies for Data-driven Evolutionary Optimization.- Chapter 3. Arti?cial Intelligence and Computational Science.



The Big Data-Driven Digital Economy: Artificial and Computational Intelligence

Автор: Musleh Al-Sartawi Abdalmuttaleb M. a.
Название: The Big Data-Driven Digital Economy: Artificial and Computational Intelligence
ISBN: 3030730565 ISBN-13(EAN): 9783030730567
Издательство: Springer
Цена: 27950.00 р.
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Описание: Leveraging Big Data to Accelerate Supply Chain Management in Covid-19.- Mobile Computing Technologies for Enhanced Living Environments: A Literature Review.- Sentiment Analysis for Modern Standard Dialect Using Genetic Folding Algorithm.- The Usage of E- Learning among Mass Communication Students.- The Influence of Relational Capital on the Relationship between Intellectual Capital and Earnings Per Share in the Digital Economy in the Jordanian Industrial Sector.- Machine Learning and Earnings Management Detection.- Artificial Intelligence and IT Governance: A Literature Review.- Blending of Physicians' Leadership and Decision-making Style Within Virtual Platforms for Improving Service Quality.- Social Capital Improves Virtually Shared Learner for Enhancing Their Readiness to Learn.- Game-based Learning: Recommendations Driven from Literature.- Utilizing Blockchain Technology to Manage Functional Areas in Healthcare Systems.- Fintech and Entrepreneurship Boosting in Developing Countries: A Comparative Study of India and Egypt.

Societal Responsibility of Artificial Intelligence: Towards an Ethical and Eco-Responsible AI

Автор: Beranger Jerome
Название: Societal Responsibility of Artificial Intelligence: Towards an Ethical and Eco-Responsible AI
ISBN: 1786306948 ISBN-13(EAN): 9781786306944
Издательство: Wiley
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Цена: 21851.00 р.
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Описание: This standard describes the various types and classes of cold-water singlejet meters in sizes 5/8 in. (15 mm) through 6 in. (150 mm) for water utilities` customer service and the materials and workmanship employed in their fabrication. These meters register by recording the revolutions of a rotor powered by the force of flowing water striking its blades.

Technology Management in Organizational and Societal Contexts

Автор: Andrew Borchers
Название: Technology Management in Organizational and Societal Contexts
ISBN: 1522552790 ISBN-13(EAN): 9781522552796
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Technological advancements are often regarded as positive, as they are usually expected to make life and business easier. While this can often be the case, it is not always true, and much of the improvement in the realm of technology comes from analysis of new technologies for effectiveness. Technology Management in Organizational and Societal Contexts is a critical scholarly publication that explores the relationship between businesses and institutions and technology and analyzes the outcomes in order to promote improvement. Featuring coverage on a wide range of topics, such as e-services, multimedia in education, and issues of emerging technologies, this publication is geared towards academicians, researchers, and students seeking relevant and current research on the interactions between organizations and technology.

Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0

Автор: Dac–Nhuong Le, Chung Van Le, Jolanda G. Tromp, Gia
Название: Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0
ISBN: 1119509815 ISBN-13(EAN): 9781119509813
Издательство: Wiley
Рейтинг:
Цена: 28979.00 р.
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Описание:

Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.

With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.

This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.

The groundbreaking book presents state-of-the-art chapters on many subjects including:

  • A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
  • A review of current augmenting dental care
  • An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
  • A review of telemedicine technologies
  • Building empathy in young children using augmented reality
  • AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
  • Mobile doctor brain AI App
  • An artificial intelligence mobile cloud computing tool
  • Development of a robotic teaching aid for disabled children
  • Training system design of lower limb rehabilitation robot based on virtual reality
World Class Cooking for Solving Global Challenges: Reparadigming Societal Innovation

Автор: Eunika Mercier-Laurent, Leif Edvinsson
Название: World Class Cooking for Solving Global Challenges: Reparadigming Societal Innovation
ISBN: 1838671234 ISBN-13(EAN): 9781838671235
Издательство: Emerald
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Цена: 9755.00 р.
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Описание: In this book, Mercier-Laurent and Edvinsson consider a cutting-edge thought methodology for solving global challenges - by looking at societal innovation through the lens of an analogy to cooking. How might we apply the power of cooking to connect imagination, knowledge, know-how and pleasure to real-world problems?

Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies

Автор: Stahl Bernd Carsten
Название: Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies
ISBN: 3030699773 ISBN-13(EAN): 9783030699772
Издательство: Springer
Цена: 4191.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics.

Computational Intelligence in the Internet of Things

Автор: Purnomo Hindriyanto Dwi
Название: Computational Intelligence in the Internet of Things
ISBN: 1522579559 ISBN-13(EAN): 9781522579557
Издательство: Mare Nostrum (Eurospan)
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Цена: 28215.00 р.
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Описание: In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.

Emerging Extended Reality Technologies for Industry 4.0: Early Experiences with Conception, Design, Implementation, Evaluation and Deployment

Автор: Jolanda G. Tromp, Dac–Nhuong Le, Chung Van Le
Название: Emerging Extended Reality Technologies for Industry 4.0: Early Experiences with Conception, Design, Implementation, Evaluation and Deployment
ISBN: 1119654637 ISBN-13(EAN): 9781119654636
Издательство: Wiley
Рейтинг:
Цена: 28979.00 р.
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Описание: In the fast-developing world of Industry 4.0, which combines Extended Reality (XR) technologies, such as Virtual Reality (VR) and Augmented Reality (AR), creating location aware applications to interact with smart objects and smart processes via Cloud Computing strategies enabled with Artificial Intelligence (AI) and the Internet of Things (IoT), factories and processes can be automated and machines can be enabled with self-monitoring capabilities. Smart objects are given the ability to analyze and communicate with each other and their human co-workers, delivering the opportunity for much smoother processes, and freeing up workers for other tasks. Industry 4.0 enabled smart objects can be monitored, designed, tested and controlled via their digital twins, and these processes and controls are visualized in VR/AR.

The Industry 4.0 technologies provide powerful, largely unexplored application areas that will revolutionize the way we work, collaborate and live our lives. It is important to understand the opportunities and impact of the new technologies and the effects from a production, safety and societal point of view.

Edge Computing and Computational Intelligence Paradigms for the IoT

Автор: Nagarajan G., Minu R. I.
Название: Edge Computing and Computational Intelligence Paradigms for the IoT
ISBN: 1522585559 ISBN-13(EAN): 9781522585558
Издательство: Mare Nostrum (Eurospan)
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Цена: 35739.00 р.
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Описание: Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. The Handbook of Research on Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.

Simulation and Computational Red Teaming for Problem Solving

Автор: Hussein A Abbass, Jiangjun Tang, George Leu
Название: Simulation and Computational Red Teaming for Problem Solving
ISBN: 1119527171 ISBN-13(EAN): 9781119527176
Издательство: Wiley
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Цена: 19158.00 р.
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Описание:

An authoritative guide to computer simulation grounded in a multi-disciplinary approach for solving complex problems

Simulation and Computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multi-disciplinary approach. The authors present the theoretical foundations of simulation and modeling paradigms from the perspective of an analyst. The book provides the fundamental background information needed for designing and developing consistent and useful simulations. In addition to this basic information, the authors explore several advanced topics.

The book's advanced topics demonstrate how modern artificial intelligence and computational intelligence concepts and techniques can be combined with various simulation paradigms for solving complex and critical problems. Authors examine the concept of Computational Red Teaming to reveal how the combined fundamentals and advanced techniques are used successfully for solving and testing complex real-world problems. This important book:

- Demonstrates how computer simulation and Computational Red Teaming support each other for solving complex problems

- Describes the main approaches to modeling real-world phenomena and embedding these models into computer simulations

- Explores how a number of advanced artificial intelligence and computational intelligence concepts are used in conjunction with the fundamental aspects of simulation

Written for researchers and students in the computational modelling and data analysis fields, Simulation and Computational Red Teaming for Problem Solving covers the foundation and the standard elements of the process of building a simulation and explores the simulation topic with a modern research approach.

Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management

Автор: Pourghasemi Hamid Reza
Название: Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management
ISBN: 0323898610 ISBN-13(EAN): 9780323898614
Издательство: Elsevier Science
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Цена: 26107.00 р.
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Описание:

Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management addresses the need for a comprehensive book that focuses on multi-hazard assessments, natural and manmade hazards, and risk management using new methods and technologies that employ GIS, artificial intelligence, spatial modeling, machine learning tools and meta-heuristic techniques. The book is clearly organized into four parts that cover natural hazards, environmental hazards, advanced tools and technologies in risk management, and future challenges in computer applications to hazards and risk management.

Researchers and professionals in Earth and Environmental Science who require the latest technologies and advances in hazards, remote sensing, geosciences, spatial modeling and machine learning will find this book to be an invaluable source of information on the latest tools and technologies available.

Computational Intelligence in Wireless Sensor Networks: Recent Advances and Future Challenges

Автор: Abraham Ajith, Falcon Rafael, Koeppen Mario
Название: Computational Intelligence in Wireless Sensor Networks: Recent Advances and Future Challenges
ISBN: 3319838040 ISBN-13(EAN): 9783319838045
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: This book emphasizes the increasingly important role that Computational Intelligence (CI) methods are playing in solving a myriad of entangled Wireless Sensor Networks (WSN) related problems.


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