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Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance, Rutkowski Tom


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Автор: Rutkowski Tom
Название:  Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance
ISBN: 9783030755201
Издательство: Springer
Классификация:


ISBN-10: 3030755207
Обложка/Формат: Hardcover
Страницы: 167
Вес: 0.44 кг.
Дата издания: 16.07.2021
Язык: English
Размер: 23.39 x 15.60 x 1.27 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations.


Novel Design and Applications of Robotics Technologies

Автор: Dan Zhang, Bin Wei
Название: Novel Design and Applications of Robotics Technologies
ISBN: 1522552766 ISBN-13(EAN): 9781522552765
Издательство: Mare Nostrum (Eurospan)
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Цена: 29938.00 р.
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Описание: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medical, social services, and agriculture. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity level.Novel Design and Applications of Robotics Technologies provides innovative insights into the state-of-the-art technologies in the design and development of robotic technologies and their real-world applications. The content within this publication represents the work of interactive learning, microrobot swarms, and service robots. It is a vital reference source for computer engineers, robotic developers, IT professionals, academicians, and researchers seeking coverage on topics centered on the application of robotics to perform tasks in various disciplines.

Applications of Artificial Intelligence in Electrical Engineering

Автор: Saifullah Khalid
Название: Applications of Artificial Intelligence in Electrical Engineering
ISBN: 1799827186 ISBN-13(EAN): 9781799827184
Издательство: Mare Nostrum (Eurospan)
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Цена: 42451.00 р.
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Описание: Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from stock market trading to manufacturing makes it easy to forget how complex artificial intelligence has become. Engineering provides various current and prospective applications of these new and complex artificial intelligence technologies.

Applications of Artificial Intelligence in Electrical Engineering is a critical research book that examines the advancing developments in artificial intelligence with a focus on theory and research and their implications. Highlighting a wide range of topics such as evolutionary computing, image processing, and swarm intelligence, this book is essential for engineers, manufacturers, technology developers, IT specialists, managers, academicians, researchers, computer scientists, and students.

Reasoning Web. Explainable Artificial Intelligence

Автор: Markus Kr?tzsch; Daria Stepanova
Название: Reasoning Web. Explainable Artificial Intelligence
ISBN: 3030314227 ISBN-13(EAN): 9783030314224
Издательство: Springer
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Цена: 8104.00 р.
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Описание: This volume contains lecture notes of the 15th Reasoning Web Summer School (RW 2019), held in Bolzano, Italy, in September 2019. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems

Автор: Mar Marcos; Jose M. Juarez; Richard Lenz; Grzegorz
Название: Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems
ISBN: 3030374459 ISBN-13(EAN): 9783030374457
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes revised selected papers from the AIME 2019 workshops KR4HC/ProHealth 2019, the Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care, and TEAAM 2019, the Workshop on Transparent, Explainable and Affective AI in Medical Systems.

Explainable Neural Networks Based on Fuzzy Logic and Multi-Criteria Decision Tools

Автор: Dombi Jуzsef, Csiszбr Orsolya
Название: Explainable Neural Networks Based on Fuzzy Logic and Multi-Criteria Decision Tools
ISBN: 3030722791 ISBN-13(EAN): 9783030722791
Издательство: Springer
Цена: 20962.00 р.
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Описание: The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient.

Explainable Fuzzy Systems: Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems

Автор: Alonso Moral Jose Maria, Castiello Ciro, Magdalena Luis
Название: Explainable Fuzzy Systems: Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems
ISBN: 3030710971 ISBN-13(EAN): 9783030710972
Издательство: Springer
Цена: 23757.00 р.
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Описание: Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation.

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
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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
Artificial Intelligence for Games,Third Edition

Автор: Millington
Название: Artificial Intelligence for Games,Third Edition
ISBN: 1138483974 ISBN-13(EAN): 9781138483972
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Artificial Intelligence is an integral part of every video game. This book helps propfessionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date infortmation they need to jumpstart their careers.

Medical applications of artificial intelligence

Название: Medical applications of artificial intelligence
ISBN: 1138072273 ISBN-13(EAN): 9781138072275
Издательство: Taylor&Francis
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Цена: 11789.00 р.
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Описание:

Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems.

After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.

Blockchain, Artificial Intelligence and Financial Services: Implications and Applications for Finance and Accounting Professionals

Автор: Stein Smith Sean
Название: Blockchain, Artificial Intelligence and Financial Services: Implications and Applications for Finance and Accounting Professionals
ISBN: 3030297632 ISBN-13(EAN): 9783030297633
Издательство: Springer
Цена: 7965.00 р.
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Описание: Blockchain technology and artificial intelligence (AI) have the potential to transform how the accounting and financial services industries engage with the business, stakeholder and consumer communities.

Analyzing future applications of ai, sensors, and robotics in society

Автор: Thomas Heinrich Musiolik, Adrian David Cheok
Название: Analyzing future applications of ai, sensors, and robotics in society
ISBN: 1799835006 ISBN-13(EAN): 9781799835004
Издательство: Mare Nostrum (Eurospan)
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Цена: 22869.00 р.
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Описание: Presents research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. The book includes coverage on a broad range of topics, such as neuronal networks, cognitive computing, and e-health.

Challenges and Applications for Implementing Machine Learning in Computer Vision

Автор: Ramgopal Kashyap, A.V. Senthil Kumar
Название: Challenges and Applications for Implementing Machine Learning in Computer Vision
ISBN: 1799801837 ISBN-13(EAN): 9781799801832
Издательство: Mare Nostrum (Eurospan)
Цена: 25978.00 р.
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Описание: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.


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