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Engineering Artificially Intelligent Systems: A Systems Engineering Approach to Realizing Synergistic Capabilities, Lawless William F., Llinas James, Sofge Donald A.


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Автор: Lawless William F., Llinas James, Sofge Donald A.
Название:  Engineering Artificially Intelligent Systems: A Systems Engineering Approach to Realizing Synergistic Capabilities
ISBN: 9783030893842
Издательство: Springer
Классификация:

ISBN-10: 3030893847
Обложка/Формат: Paperback
Страницы: 296
Вес: 0.42 кг.
Дата издания: 18.12.2021
Серия: Information systems and applications, incl. internet/web, and hci
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 76 illustrations, color; 29 illustrations, black and white; xii, 281 p. 105 illus., 76 illus. in color.
Размер: 23.39 x 15.60 x 1.57 cm
Читательская аудитория: Professional & vocational
Подзаголовок: A systems engineering approach to realizing synergistic capabilities
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Introduction: Motivations for and Initiatives on AI Engineering.- Architecting Information Acquisition To Satisfy Competing Goals.- Trusted Entropy-Based Information Maneuverability for AI Information Systems Engineering.- BioSecure Digital Twin: Manufacturing Innovation and Cybersecurity Resilience.- Finding the path toward design of synergistic humancentric complex systems.- Agent Team Action, Brownian Motion and Gamblers Ruin.- How Deep Learning Model Architecture and Software Stack Impacts Training Performance in the Cloud.- How Interdependence Explains the World of Teamwork.- Designing Interactive Machine Learning Systems for GIS Applications.- Faithful Post-hoc Explanation of Recommendation using Optimally Selected Features.- Risk Reduction for Autonomous Systems.- Agile Systems Engineering in Building Complex AI Systems.- Platforms for Assessing Relationships: Trust with Near Ecologically-valid Risk, and Team Interaction.- Principles for AI-Assisted Attention Aware Systems in Human-in-the-loo[p Safety Critical Applications.- Interdependence and vulnerability in systems: A review of theory for autonomous human-machine teams.- Principles of a Accurate Decision and Sense-Making for Virtual Minds.




Artificially Intelligent Nanomaterials: For Environmental Engineering

Автор: Peng Wang, Jian Chang, Lianbin Zhang
Название: Artificially Intelligent Nanomaterials: For Environmental Engineering
ISBN: 3527344942 ISBN-13(EAN): 9783527344949
Издательство: Wiley
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Цена: 20109.00 р.
Наличие на складе: Поставка под заказ.

Описание: Presents novel, nanotechnology-based solutions for urgent environmental engineering problems

Clear and concise from beginning to end, this book focuses on the design and application of artificially intelligent nanomaterials, which help in solving many tangible environmental problems?especially water and air pollution. It lays out the design concepts, major chemical principles, and materials considerations of artificially intelligent nanomaterials for environmental engineering, and provides proof-of-concept examples such as improved filtration membranes, nanofibrous air filters, and molecularly imprinted nanomaterials.

Artificially Intelligent Nanomaterials: For Environmental Engineering starts by describing the background of environmental nanotechnology, the rise of Artificial Intelligence (AI), and the current status of AI in environmental engineering. It then looks at: intelligently functional materials and responsive mechanisms; designing filtration membranes with responsive gates; switchable wettability materials for controllable oil/water separation; and self-healing materials for environmental applications. The book continues with chapters that examine: emerging nanofibrous air filters for PM2.5 removal; self-propelled nanomotors for environmental applications; molecular imprinting in wastewater treatment; and emerging synergistically multifunctional and all-in-one nanomaterials and nanodevices in advanced environmental applications.

-Presents the state-of-the-art in environmental technology and puts forward bold ideas for its advancement
-Addresses global challenges, including all important water and air quality which are critical for human health and a sustainable future
-Concentrates on nanotechnology-enabled solutions for pollutant removal from water and air

Artificially Intelligent Nanomaterials: For Environmental Engineering is an ideal book for undergraduates, graduates, scientists, and professionals in the fields of environmental science, material science, chemistry, and chemistry engineering.

Synergistic Management Control Systems

Автор: Travis Sr Ron
Название: Synergistic Management Control Systems
ISBN: 145200921X ISBN-13(EAN): 9781452009216
Издательство: Неизвестно
Цена: 6644.00 р.
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Synergistic selection: how cooperation has shaped evolution and the rise of humankind

Автор: Corning, Peter A. (inst For The Study Of Complex Systems, Usa)
Название: Synergistic selection: how cooperation has shaped evolution and the rise of humankind
ISBN: 9813234601 ISBN-13(EAN): 9789813234604
Издательство: World Scientific Publishing
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Цена: 4118.00 р.
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Описание:

co-author of (among others) Evolution in Four Dimensions

"Nothing about the evolution of biological complexity makes sense except in the light of synergy." Peter Corning's new book is being hailed as a major contribution to what is perhaps the greatest shift in our understanding of evolution since The Origin of Species. It's a tour de force that takes us on a synergy-guided tour of the history of life. As Corning puts it, "life on Earth has been a synergistic phenomenon from the get go." Corning also shows how synergy has been a key to human evolution, including the rise of complex modern societies. "Cooperation may have been the vehicle, but synergy was the driver." As we now face a tipping point and another major transition in evolution, Corning offers us a synergy-based road-map to the future. "One of the great take-home lessons from the epic of evolution is that cooperation produces synergy, and synergy is the way forward. The arc of evolution bends toward synergy."

<strike>natural</strike> synergistic selection: how cooperation has shaped evolution and the rise of humankind

Автор: Corning, Peter A. (inst For The Study Of Complex Systems, Usa)
Название: natural synergistic selection: how cooperation has shaped evolution and the rise of humankind
ISBN: 9813230932 ISBN-13(EAN): 9789813230934
Издательство: World Scientific Publishing
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Цена: 10930.00 р.
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Описание:

co-author of (among others) Evolution in Four Dimensions

"Nothing about the evolution of biological complexity makes sense except in the light of synergy." Peter Corning's new book is being hailed as a major contribution to what is perhaps the greatest shift in our understanding of evolution since The Origin of Species. It's a tour de force that takes us on a synergy-guided tour of the history of life. As Corning puts it, "life on Earth has been a synergistic phenomenon from the get go." Corning also shows how synergy has been a key to human evolution, including the rise of complex modern societies. "Cooperation may have been the vehicle, but synergy was the driver." As we now face a tipping point and another major transition in evolution, Corning offers us a synergy-based road-map to the future. "One of the great take-home lessons from the epic of evolution is that cooperation produces synergy, and synergy is the way forward. The arc of evolution bends toward synergy."

Neural Network Methods in Natural Language Processing

Автор: Goldberg Yoav
Название: Neural Network Methods in Natural Language Processing
ISBN: 1627052984 ISBN-13(EAN): 9781627052986
Издательство: Mare Nostrum (Eurospan)
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Цена: 11504.00 р.
Наличие на складе: Нет в наличии.

Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Transforming Healthcare with Big Data and AI

Автор: Alex Lui, Anna Farzinder, Mingboo Gong
Название: Transforming Healthcare with Big Data and AI
ISBN: 1641138971 ISBN-13(EAN): 9781641138970
Издательство: Mare Nostrum (Eurospan)
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Цена: 7069.00 р.
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Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.

This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

Advancement of Artificial Intelligence in Healthcare Engineering

Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg
Название: Advancement of Artificial Intelligence in Healthcare Engineering
ISBN: 179982120X ISBN-13(EAN): 9781799821205
Издательство: Mare Nostrum (Eurospan)
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Цена: 39640.00 р.
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Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.

Artificial intelligence in energy and renewable energy systems

Автор: Soteris Kalogirou
Название: Artificial intelligence in energy and renewable energy systems
ISBN: 1600212611 ISBN-13(EAN): 9781600212611
Издательство: Nova Science
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Цена: 24537.00 р.
Наличие на складе: Невозможна поставка.

Описание: Presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. This title covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration.

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Автор: Kenji Suzuki; Yisong Chen
Название: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
ISBN: 3319688421 ISBN-13(EAN): 9783319688428
Издательство: Springer
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Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.

Fusion: A Modern `How-To` Guide for Integrated Marketing Strategy (from Creative Spark to Synergistic Explosion)

Автор: Mourey Dr James a.
Название: Fusion: A Modern `How-To` Guide for Integrated Marketing Strategy (from Creative Spark to Synergistic Explosion)
ISBN: 0692669744 ISBN-13(EAN): 9780692669747
Издательство: Неизвестно
Цена: 5171.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Synergistic design of sustainable built environments

Автор: Kabre, Chitrarekha
Название: Synergistic design of sustainable built environments
ISBN: 0367564831 ISBN-13(EAN): 9780367564834
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Описание: This book is a practical tool or handbook for architects, building professionals, researchers and students that explains and demonstrates how design wisdom of passive solar architecture can be integrated with the best of modern technological advancement to create sustainable and regenerative designed humane architecture.

A Synergistic Framework for Hardware IP Privacy and Integrity Protection

Автор: Li Meng, Pan David Z.
Название: A Synergistic Framework for Hardware IP Privacy and Integrity Protection
ISBN: 3030412466 ISBN-13(EAN): 9783030412463
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book proposes a synergistic framework to help IP vendors to protect hardware IP privacy and integrity from design, optimization, and evaluation perspectives.


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