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Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence, Ahmed Mohiuddin, Islam Sheikh Rabiul, Anwar Adnan


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Автор: Ahmed Mohiuddin, Islam Sheikh Rabiul, Anwar Adnan
Название:  Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence
ISBN: 9783030966294
Издательство: Springer
Классификация:



ISBN-10: 3030966291
Обложка/Формат: Hardcover
Страницы: 294
Вес: 0.59 кг.
Дата издания: 19.04.2022
Серия: Studies in computational intelligence
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 80 illustrations, color; 8 illustrations, black and white; xii, 280 p. 88 illus., 80 illus. in color.
Размер: 23.39 x 15.60 x 1.75 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Next generation artificial intelligence
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.
Дополнительное описание: The Past, Present, and Prospective Future of XAI: A Comprehensive Review.- An Overview of Explainable Artificial Intelligence for Cyber Security.- Artificial Intelligence: Practical & Ethical Challenges.- Domain Knowledge-aided Explainable Artificial Inte


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: 54030.00 T
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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.

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

Автор: Rutkowski Tom
Название: Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance
ISBN: 3030755207 ISBN-13(EAN): 9783030755201
Издательство: Springer
Цена: 149060.00 T
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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.

Explainable artificial intelligence for smart cities

Название: Explainable artificial intelligence for smart cities
ISBN: 1032001127 ISBN-13(EAN): 9781032001128
Издательство: Taylor&Francis
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Цена: 102070.00 T
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Описание: The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. This book provides a timely, global reference source about cutting edge research efforts to ensure the XAI factor in smart city-oriented developments.

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: 46570.00 T
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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.

Principles and Methods of Explainable Artificial Intelligence in Healthcare

Автор: Akash Kumar Bhoi, Alfonso Gonza?lez Briones, P Naga Srinivasu, Victor Hugo C. de Albuquerque
Название: Principles and Methods of Explainable Artificial Intelligence in Healthcare
ISBN: 1668437910 ISBN-13(EAN): 9781668437919
Издательство: Mare Nostrum (Eurospan)
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Цена: 452760.00 T
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Описание: Discusses explainable artificial intelligence and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis. The book also encompasses computational vision processing techniques that handle complex.

Explainable Artificial Intelligence: An Introduction to Xai

Автор: Kamath Uday, Liu John
Название: Explainable Artificial Intelligence: An Introduction to Xai
ISBN: 3030833550 ISBN-13(EAN): 9783030833558
Издательство: Springer
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Цена: 130430.00 T
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Описание: 1. Introduction to Interpretability and Explainability.- 2. Pre-Model Interpretability and Explainability.- 3. Model Visualization Techniques and Traditional Interpretable Algorithms.- 4. Model Interpretability: Advances in Interpretable Machine Learning.- 5. Post-hoc Interpretability and Explanations.- 6. Explainable Deep Learning.- 7. Explainability in Time Series Forecasting, Natural Language Processing, and Computer Vision.- 8. XAI: Challenges and Future.

Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks

Автор: Mishra Pradeepta
Название: Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks
ISBN: 1484271572 ISBN-13(EAN): 9781484271575
Издательство: Springer
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Цена: 60550.00 T
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Описание: Intermediate-Advanced

We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law

Автор: Chesterman Simon
Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law
ISBN: 1316517683 ISBN-13(EAN): 9781316517680
Издательство: Cambridge Academ
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Цена: 38010.00 T
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Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.

Lean AI: How Innovative Startups Use Artificial Intelligence to Grow

Автор: Patel Lomit
Название: Lean AI: How Innovative Startups Use Artificial Intelligence to Grow
ISBN: 1492059315 ISBN-13(EAN): 9781492059318
Издательство: Wiley
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Цена: 42230.00 T
Наличие на складе: Поставка под заказ.
Описание: With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.

Artificial Intelligence in Behavioral and Mental Health Care

Автор: David D. Luxton
Название: Artificial Intelligence in Behavioral and Mental Health Care
ISBN: 0124202489 ISBN-13(EAN): 9780124202481
Издательство: Elsevier Science
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Цена: 61750.00 T
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Описание:

Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy.

In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering.

This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source.


Artificial Intelligence In Healthcare

Автор: Bohr, Adam
Название: Artificial Intelligence In Healthcare
ISBN: 0128184388 ISBN-13(EAN): 9780128184387
Издательство: Elsevier Science
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Цена: 110030.00 T
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Описание:

Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.

This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.


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: 193190.00 T
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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


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