Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models, Garza Ulloa Jorge
Название: Handbook of Artificial Intelligence in Biomedical Engineering ISBN: 1771889209 ISBN-13(EAN): 9781771889209 Издательство: Taylor&Francis Рейтинг: Цена: 137910.00 T Наличие на складе: Есть 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.
Автор: Zgallai, Walid A. Название: Biomedical Signal Processing With Artificial Intelligence ISBN: 0128189460 ISBN-13(EAN): 9780128189467 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Biomedical Signal Processing and Artificial Intelligence in Healthcareis 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.
Автор: Rao, Rajesh P. N. Название: Brain-Computer Interfacing ISBN: 0521769418 ISBN-13(EAN): 9780521769419 Издательство: Cambridge Academ Рейтинг: Цена: 82370.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This introduction to the field of brain-computer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists, computer scientists, engineers, and medical practitioners.
Автор: Rao Rajesh P. N. Название: Brain-Computer Interfacing: An Introduction ISBN: 1108708013 ISBN-13(EAN): 9781108708012 Издательство: Cambridge Academ Рейтинг: Цена: 38010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This introduction to the field of brain-computer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists, computer scientists, engineers, and medical practitioners.
Автор: Ariel Fernбndez Название: Artificial Intelligence Platform for Molecular Targeted Therapy: A Translational Science Approach ISBN: 981123230X ISBN-13(EAN): 9789811232305 Издательство: World Scientific Publishing Рейтинг: Цена: 137280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In the era of big biomedical data, there are many ways in which artificial intelligence (AI) is likely to broaden the technological base of the pharmaceutical industry. Cheminformatic applications of AI involving the parsing of chemical space are already being implemented to infer compound properties and activity. By contrast, dynamic aspects of the design of drug/target interfaces have received little attention due to the inherent difficulties in dealing with physical phenomena that often do not conform to simplifying views.This book focuses precisely on dynamic drug/target interfaces and argues that the true game change in pharmaceutical discovery will come as AI is enabled to solve core problems in molecular biophysics that are intimately related to rational drug design and drug discovery.Here are a few examples to convey the flavor of our quest: How do we therapeutically impair a dysfunctional protein with unknown structure or regulation but known to be a culprit of disease? In regards to SARS-CoV-2, what is the structural impact of a dominant mutation?, how does the structure change translate into a fitness advantage?, what new therapeutic opportunity arises? How do we extend molecular dynamics simulations to realistic timescales, to capture the rare events associated with drug targeting in vivo? How do we control specificity in drug design to selectively remove side effects? This is the type of problems, directly related to the understanding of drug/target interfaces, that the book squarely addresses by leveraging a comprehensive AI-empowered approach.
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
Автор: Mansi, Tommaso Passerini, Tiziano Название: Artificial intelligence for computational modeling of the heart ISBN: 012817594X ISBN-13(EAN): 9780128175941 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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
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.
Автор: Schiesser William E Название: Computational Chemotaxis Models For Neurodegenerative Disease ISBN: 9813207450 ISBN-13(EAN): 9789813207455 Издательство: World Scientific Publishing Рейтинг: Цена: 85530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The mathematical model presented in this book, based on partial differential equations (PDEs) describing attractant-repellent chemotaxis, is offered for a quantitative analysis of neurodegenerative disease (ND), e.g., Alzheimer's disease (AD). The model is a representation of basic phenomena (mechanisms) for diffusive transport and biochemical kinetics that provides the spatiotemporal distribution of components which could explain the evolution of ND, and is offered with the intended purpose of providing a small step toward the understanding, and possible treatment of ND.
The format and emphasis of the presentation is based on the following elements:
A statement of the PDE system, including initial conditions (ICs), boundary conditions (BCs) and the model parameters.
Algorithms for the calculation of numerical solutions of the PDE system with a minimum of mathematical formality.
A set of R routines for the calculation of numerical solutions, including a detailed explanation of all of the sections of the code. The R routines can be executed after a straightforward download of R, an open-source scientific computing system available from the Internet.
Presentation of the numerical solutions, particularly in graphical (plotted) format to enhance the visualization of the solution.
Summary and conclusions concerning the principal results from the model that might serve as the basis for a next step in the modeling of ND.
In other words, a methodology for numerical PDE modeling is presented that is flexible, open ended and readily implemented on modest computers. If the reader is interested in an alternate model, it might possibly be implemented by: (1) modifying and/or extending the current model (for example, by adding terms to the PDEs or adding additional PDEs), or (2) using the reported routines as a prototype for the model of interest.
These suggestions illustrate an important feature of computer-based modeling, that is, the readily available procedure of numerically experimenting with a model. The current model is offered as only a first step toward the resolution of this urgent medical problem.
Автор: Schiesser William E Название: Computational Chemotaxis Models For Neurodegenerative Disease ISBN: 9813208910 ISBN-13(EAN): 9789813208919 Издательство: World Scientific Publishing Рейтинг: Цена: 50690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The mathematical model presented in this book, based on partial differential equations (PDEs) describing attractant-repellent chemotaxis, is offered for a quantitative analysis of neurodegenerative disease (ND), e.g., Alzheimer's disease (AD). The model is a representation of basic phenomena (mechanisms) for diffusive transport and biochemical kinetics that provides the spatiotemporal distribution of components which could explain the evolution of ND, and is offered with the intended purpose of providing a small step toward the understanding, and possible treatment of ND.
The format and emphasis of the presentation is based on the following elements:
A statement of the PDE system, including initial conditions (ICs), boundary conditions (BCs) and the model parameters.
Algorithms for the calculation of numerical solutions of the PDE system with a minimum of mathematical formality.
A set of R routines for the calculation of numerical solutions, including a detailed explanation of all of the sections of the code. The R routines can be executed after a straightforward download of R, an open-source scientific computing system available from the Internet.
Presentation of the numerical solutions, particularly in graphical (plotted) format to enhance the visualization of the solution.
Summary and conclusions concerning the principal results from the model that might serve as the basis for a next step in the modeling of ND.
In other words, a methodology for numerical PDE modeling is presented that is flexible, open ended and readily implemented on modest computers. If the reader is interested in an alternate model, it might possibly be implemented by: (1) modifying and/or extending the current model (for example, by adding terms to the PDEs or adding additional PDEs), or (2) using the reported routines as a prototype for the model of interest.
These suggestions illustrate an important feature of computer-based modeling, that is, the readily available procedure of numerically experimenting with a model. The current model is offered as only a first step toward the resolution of this urgent medical problem.
Автор: Ata Mahjoubfar; Claire Lifan Chen; Bahram Jalali Название: Artificial Intelligence in Label-free Microscopy ISBN: 3319514474 ISBN-13(EAN): 9783319514475 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces time-stretch quantitative phase imaging (TS-QPI), a high-throughput label-free imaging flow cytometer developed for big data acquisition and analysis in phenotypic screening.
Автор: Judith Markowitz Название: Robots that Talk and Listen: Technology and Social Impact ISBN: 1614516030 ISBN-13(EAN): 9781614516033 Издательство: Walter de Gruyter Цена: 86720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Robots That Talk and Listen provides a forward-looking examination of speech and language in robots from technical, functional, and social perspectives. Contributors address cultural foundations as well as the linguistic skills and technologies that robots need to function effectively in real-world settings. Among the most difficult and complex is the ability to understand and use language. Speech-enabled automata are already serving as interactive toys, teacher’s aides, and research assistants. These robots will soon be joined by personal companions, industrial co-workers, and military support automata. The social impact of these and other robots extends well beyond the specific tasks they perform. Contributors tackle the most knotty of those issues, notably acceptance of advanced, speech-enabled robots and developing ethical and moral controls for robots. Topics in this book include: •Language and Beyond: The True Meaning of “Speech Enabled” •Robots in Myth and Media •Enabling Robots to Converse •Language Learning by Automata •Handling Noisy Settings•Empirical Studies of Robots in Real-World Environments •Acceptance of Intelligent Robots•Managing Robots that Can Lie and Deceive•Envisioning a World Shared with Intelligent Robots
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
