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Leveraging Artificial Intelligence In Global Epidemics, Gruenwald, Le


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Цена: 22065.00р.
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Автор: Gruenwald, Le
Название:  Leveraging Artificial Intelligence In Global Epidemics
ISBN: 9780323897778
Издательство: Elsevier Science
Классификация:
ISBN-10: 0323897770
Обложка/Формат: Paperback
Страницы: 232
Вес: 0.55 кг.
Дата издания: 01.08.2021
Язык: English
Размер: 23.50 x 19.05 x 1.70 cm
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations.


Handbook of Artificial Intelligence in Biomedical Engineering

Название: Handbook of Artificial Intelligence in Biomedical Engineering
ISBN: 1771889209 ISBN-13(EAN): 9781771889209
Издательство: Taylor&Francis
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Цена: 20686.00 р. 29552.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field.

Biomedical Signal Processing With Artificial Intelligence

Автор: Zgallai, Walid A.
Название: Biomedical Signal Processing With Artificial Intelligence
ISBN: 0128189460 ISBN-13(EAN): 9780128189467
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

Biomedical Signal Processing and Artificial Intelligence in Healthcare is a new volume in the Developments in Biomedical Engineering and Bioelectronics series. This volume covers the basics of biomedical signal processing and artificial intelligence. It explains the role of machine learning in relation to processing biomedical signals and the applications in medicine and healthcare. The book provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is covered. Biomedical Images are also introduced and processed, including segmentation, classification, and detection. This book covers different aspects of signals, from the use of hardware and software, and making use of artificial intelligence in problem solving.

Dr Zgallai's book has up to date coverage where readers can find the latest information, easily explained, with clear examples and illustrations. The book includes examples on the application of signal and image processing employing artificial intelligence to Alzheimer, Parkinson, ADHD, autism, and sleep disorders, as well as ECG and EEG signals. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key 'up-and-coming' academics across the full subject area. The series serves a wide audience of university faculty, researchers and students, as well as industry practitioners.

Artificial intelligence for computational modeling of the heart

Автор: Mansi, Tommaso Passerini, Tiziano
Название: Artificial intelligence for computational modeling of the heart
ISBN: 012817594X ISBN-13(EAN): 9780128175941
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.

  • Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications
  • Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data
  • Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation
Artificial intelligence in medical imaging

Автор: Morra, Lia Delsanto, Silvia Correale, Loredana
Название: Artificial intelligence in medical imaging
ISBN: 036722917X ISBN-13(EAN): 9780367229177
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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Описание: This book will explore AI systems being used in medical imaging, one of the most exciting topics in the field. It will be of interest to graduate students in medical physics, biomedical engineering, and computer science, in addition to researchers and medical professionals operating in the medical imaging domain.

Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis

Автор: Shukla Ashutosh Kumar
Название: Spectroscopic Techniques & Artificial Intelligence for Food and Beverage Analysis
ISBN: 9811564949 ISBN-13(EAN): 9789811564949
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This informative book discusses the various spectroscopic techniques applied in the analysis of food and beverages. The book also presents artificial intelligence applications that can be used to enhance the spectral data analysis experience in food safety and quality analysis.

Rational Machines and Artificial Intelligence

Автор: Marwala Tshilidzi
Название: Rational Machines and Artificial Intelligence
ISBN: 0128206764 ISBN-13(EAN): 9780128206768
Издательство: Elsevier Science
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Цена: 22401.00 р.
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Описание: Intelligent machines are populating our social, economic and political spaces. These intelligent machines are powered by Artificial Intelligence technologies such as deep learning. They are used in decision making. One element of decision making is the issue of rationality. Regulations such as the General Data Protection Regulation (GDPR) require that decisions that are made by these intelligent machines are explainable. Rational Machines and Artificial Intelligence proposes that explainable decisions are good but the explanation must be rational to prevent these decisions from being challenged. Noted author Tshilidzi Marwala studies the concept of machine rationality and compares this to the rationality bounds prescribed by Nobel Laureate Herbert Simon and rationality bounds derived from the work of Nobel Laureates Richard Thaler and Daniel Kahneman. Rational Machines and Artificial Intelligence describes why machine rationality is flexibly bounded due to advances in technology. This effectively means that optimally designed machines are more rational than human beings. Readers will also learn whether machine rationality can be quantified and identify how this can be achieved. Furthermore, the author discusses whether machine rationality is subjective. Finally, the author examines whether a population of intelligent machines collectively make more rational decisions than individual machines. Examples in biomedical engineering, social sciences and the financial sectors are used to illustrate these concepts.

  • Provides an introduction to the key questions and challenges surrounding Rational Machines, including, When do we rely on decisions made by intelligent machines? What do decisions made by intelligent machines mean? Are these decisions rational or fair? Can we quantify these decisions? and Is rationality subjective?
  • Introduces for the first time the concept of rational opportunity costs and the concept of flexibly bounded rationality as a rationality of intelligent machines and the implications of these issues on the reliability of machine decisions
  • Includes coverage of Rational Counterfactuals, group versus individual rationality, and rational markets
  • Discusses the application of Moore's Law and advancements in Artificial Intelligence, as well as developments in the area of data acquisition and analysis technologies and how they affect the boundaries of intelligent machine rationality
Healthcare and Artificial Intelligence

Автор: Nordlinger
Название: Healthcare and Artificial Intelligence
ISBN: 3030321606 ISBN-13(EAN): 9783030321604
Издательство: Springer
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Цена: 4890.00 р.
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Описание: This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic "AI" might evoke.

Artificial Intelligence in Health

Автор: Fernando Koch; Andrew Koster; David Ria?o; Sara Mo
Название: Artificial Intelligence in Health
ISBN: 3030127370 ISBN-13(EAN): 9783030127374
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed post-conference proceedings of the First International Workshop on Artificial Intelligence in Health, AIH 2018, in Stockholm, Sweden, in July 2018.

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.
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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.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Автор: Kozma, Robert
Название: Artificial Intelligence in the Age of Neural Networks and Brain Computing
ISBN: 0128154802 ISBN-13(EAN): 9780128154809
Издательство: Elsevier Science
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Цена: 22401.00 р.
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Описание:

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book.

  • Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN)
  • Authored by top experts, global field pioneers and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making
  • Edited by high-level academics and researchers in intelligent systems and neural networks
Artificial Intelligence To Solve Pervasive Internet Of Things Issues

Автор: Kaur, Gurjit
Название: Artificial Intelligence To Solve Pervasive Internet Of Things Issues
ISBN: 0128185767 ISBN-13(EAN): 9780128185766
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

Integrating Artificial Intelligence (AI) is pivotal in increasing the performance of Internet of Things (IoT) devices and systems (i.e., sensors, actuators, and closed-circuit television or video surveillance systems). When these devices/systems are properly configured and implemented, AI can interact with other decentralized IoT devices and systems on the infrastructure. Artificial Intelligence to Solve Pervasive Internet of Things Issues csover wide-ranging technology areas along with their applications and challenges. It also includes architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. These chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.

Philosophy and Theory of Artificial Intelligence 2017

Автор: Vincent C. M?ller
Название: Philosophy and Theory of Artificial Intelligence 2017
ISBN: 3030071944 ISBN-13(EAN): 9783030071943
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing.


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