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Artificial Intelligence In Neuroscience Affective Analysis And Health Applications
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Book Synopsis Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications by : José Manuel Ferrández Vicente
Download or read book Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications written by José Manuel Ferrández Vicente and published by Springer Nature. This book was released on 2022-05-24 with total page 675 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications, Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.
Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Book Synopsis Artificial Intelligence for Neuroscience and Emotional Systems by : José Manuel Ferrández Vicente
Download or read book Artificial Intelligence for Neuroscience and Emotional Systems written by José Manuel Ferrández Vicente and published by Springer Nature. This book was released on with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence by : José Manuel Ferrández Vicente
Download or read book Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence written by José Manuel Ferrández Vicente and published by Springer Nature. This book was released on 2022-05-24 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.
Book Synopsis Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence by : José Manuel Ferrández Vicente
Download or read book Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence written by José Manuel Ferrández Vicente and published by Springer. This book was released on 2022-06-19 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May – June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.
Book Synopsis Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues by : Fabrice Jotterand
Download or read book Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues written by Fabrice Jotterand and published by Springer Nature. This book was released on 2022-02-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an interdisciplinary collection of essays from leaders in various fields addressing the current and future challenges arising from the implementation of AI in brain and mental health. Artificial Intelligence (AI) has the potential to transform health care and improve biomedical research. While the potential of AI in brain and mental health is tremendous, its ethical, regulatory and social impacts have not been assessed in a comprehensive and systemic way. The volume is structured according to three main sections, each of them focusing on different types of AI technologies. Part 1, Big Data and Automated Learning: Scientific and Ethical Considerations, specifically addresses issues arising from the use of AI software, especially machine learning, in the clinical context or for therapeutic applications. Part 2, AI for Digital Mental Health and Assistive Robotics: Philosophical and Regulatory Challenges, examines philosophical, ethical and regulatory issues arising from the use of an array of technologies beyond the clinical context. In the final section of the volume, Part 3 entitled AI in Neuroscience and Neurotechnology: Ethical, Social and Policy Issues, contributions examine some of the implications of AI in neuroscience and neurotechnology and the regulatory gaps or ambiguities that could potentially hamper the responsible development and implementation of AI solutions in brain and mental health. In light of its comprehensiveness and multi-disciplinary character, this book marks an important milestone in the public understanding of the ethics of AI in brain and mental health and provides a useful resource for any future investigation in this crucial and rapidly evolving area of AI application. The book is of interest to a wide audience in neuroethics, robotics, computer science, neuroscience, psychiatry and mental health.
Book Synopsis AIxIA 2023 – Advances in Artificial Intelligence by : Roberto Basili
Download or read book AIxIA 2023 – Advances in Artificial Intelligence written by Roberto Basili and published by Springer Nature. This book was released on 2023-11-02 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the XXIInd International Conference on AIxIA 2023 – Advances in Artificial Intelligence, AIxIA 2023, held in Rome, Italy, during November 6–10, 2023. The 33 full papers included in this book were carefully reviewed and selected from 53 submissions. They were organized in topical sections as follows: Argumentation and Logic Programming, Natural Language Processing, Machine Learning, Hybrid AI and Applications of AI.
Book Synopsis A Blueprint for Affective Computing by : Klaus R. Scherer
Download or read book A Blueprint for Affective Computing written by Klaus R. Scherer and published by Oxford University Press. This book was released on 2010-09-23 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Affective computing' is a branch of computing concerned with the theory and construction of machines which can detect, respond to, and simulate human emotional states. This book presents an interdisciplinary exploration of this rapidly expanding field, aimed at those in psychology, computational neuroscience, computer science, and AI.
Book Synopsis Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence by : Chowdhary, Chiranji Lal
Download or read book Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence written by Chowdhary, Chiranji Lal and published by IGI Global. This book was released on 2022-10-21 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emotional intelligence has emerged as an important area of research in the artificial intelligence field as it covers a wide range of real-life domains. Though machines may never need all the emotional skills that people need, there is evidence to suggest that machines require at least some of these skills to appear intelligent when interacting with people. To understand how deep learning-based emotional intelligence can be applied and utilized across industries, further study on its opportunities and future directions is required. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence explores artificial intelligence applications, such as machine and deep learning, in emotional intelligence and examines their use towards attaining emotional intelligence acceleration and augmentation. It provides research on tools used to simplify and streamline the formation of deep learning for system architects and designers. Covering topics such as data analytics, deep learning, knowledge management, and virtual emotional intelligence, this reference work is ideal for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Book Synopsis Affective Computing Applications Using Artificial Intelligence in Healthcare by : Full Professor M Murugappan
Download or read book Affective Computing Applications Using Artificial Intelligence in Healthcare written by Full Professor M Murugappan and published by . This book was released on 2024-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of affective computing applications in healthcare using AI and IoT. This book covers modelling methods, frameworks, and algorithms used for human affect detection using biosignal/image processing methods.
Book Synopsis The Sensory Accommodation Framework for Technology by : LouAnne Boyd
Download or read book The Sensory Accommodation Framework for Technology written by LouAnne Boyd and published by Springer Nature. This book was released on 2024-02-02 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough introduction to the many facets of designing technologies for autism, with a particular focus on optimizing visual attention frameworks. This book is designed to provide a detailed overview of several aspects of technology for autism. Each Chapter illustrates different parts of the Sensory Accommodation Framework and provides examples of relevant available technologies. The books first discusses a variety of skills that make up human development as well as a history of autism as a diagnosis and the birth of the neurodiversity movement. It goes on to detail individual types of therapy and how they interact with autism. The systems involved in sensory processing and their specific relation to autism are then explored, including through technologies that have addressed these areas and applications for designers. Readers will learn about designing sensory environments and sensory interactions, such as through virtual reality. This book places a needed emphasis on the hierarchy of information in technology development by exploring visual attention in neurodivergent conditions like autism, ADHD, and dyslexia. It also delves into the relationship between sensory perception and nonverbal communication, the bridge between sensory input and social behavior, and dynamic information. The discussion is rounded out with examinations of temporal processing as and multisensory integration as complicating factors that have existing technological solutions. Finally, the book closes with a summary of the sensory accommodation framework in respect to how each layer offers different user experience goals and specific mechanisms to promote those goals. Readers from a variety of research backgrounds will find this book informative and useful, while designers will learn essential skills for effectively designing autism technologies.
Book Synopsis Deep Learning for Personalized Healthcare Services by : Vishal Jain
Download or read book Deep Learning for Personalized Healthcare Services written by Vishal Jain and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-10-25 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.
Book Synopsis Emotional AI and Human-AI Interactions in Social Networking by : Muskan Garg
Download or read book Emotional AI and Human-AI Interactions in Social Networking written by Muskan Garg and published by Elsevier. This book was released on 2023-08-20 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emotional AI and Human-AI Interactions in Social Networking makes readers aware of recent progress in this integrated discipline. Filling the existing vacuum in research in artificial intelligence with the application of social science, this book provides in-depth knowledge of human-AI interactions with social networking and increased use of the internet. Chapters integrating Emotional Artificial Intelligence, examining behavioral interventions, compassion, education, and healthcare, as well as social cognitive networking, including social brain networks, play a pivotal role in enhancing interdisciplinary studies in the field of social neuroscience and Emotional AI. This volume is a must for those wanting to dive into this exciting field of social neuroscience AI. Serves as a guide on social cognitive neuroscience for mental health and emotional AI for behavioral interventions Details various technologies of human-AI interactions with social networking Includes sections on emotional AI in behavioral interventions, compassion, education and healthcare
Author :M. Murugappan Publisher :IPEM-IOP Series in Physics and Engineering in Medicine and Biology ISBN 13 :9780750351805 Total Pages :0 pages Book Rating :4.3/5 (518 download)
Book Synopsis Affective Computing in Healthcare by : M. Murugappan
Download or read book Affective Computing in Healthcare written by M. Murugappan and published by IPEM-IOP Series in Physics and Engineering in Medicine and Biology. This book was released on 2023-08-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The healthcare applications of affective computing are gaining traction as biomedical signals are being increasingly used in system design and development. Affective computing and its applications in healthcare are presented in this book during a time of great advancement in machine learning and deep learning algorithms.
Book Synopsis Artificial Intelligence in Precision Health by : Debmalya Barh
Download or read book Artificial Intelligence in Precision Health written by Debmalya Barh and published by Academic Press. This book was released on 2020-03-04 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support
Book Synopsis Artificial Intelligence for Neuroscience and Emotional Systems by : José Manuel Ferrández Vicente
Download or read book Artificial Intelligence for Neuroscience and Emotional Systems written by José Manuel Ferrández Vicente and published by Springer. This book was released on 2024-07-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 14674 and 14675 constitutes the proceedings of the 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, which took place in Olhâo, Portugal, during June 4–7, 2024. The 99 full papers presented in these proceedings were carefully reviewed and selected from 193 submissions. They were organized in topical sections as follows: Part I: Machine learning in neuroscience; artificial intelligence in neurophysiology; neuromotor and cognitive disorders; intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias; socio-cognitive, affective and physiological computing; affective computing and context awareness in ambientintelliigence; learning tools to lecture; Part II: Machine learning in computer vision and robotics; bio-inspired computing approaches; social and civil engineering through human AI translations; smart renewable energies: advancing AI algorithms in the renewable energy industry; bioinspired applications.
Book Synopsis Computational Approaches in Biomaterials and Biomedical Engineering Applications by : Pranav Deepak Pathak
Download or read book Computational Approaches in Biomaterials and Biomedical Engineering Applications written by Pranav Deepak Pathak and published by CRC Press. This book was released on 2024-05-27 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Approaches in Bioengineering, Volume 2—Computational Approaches in Biomaterials and Biomedical Engineering Applications is a comprehensive and up-to-date resource that provides a broad overview of the use of computational methods in the fields of biomaterials and biomedical engineering. Written by a team of experts in the field of biomaterials and biomedical engineering, it provides a wealth of information on the use of computational methods in these fields. Furthermore, it explores emerging trends and discusses future directions and associated limitations in the field. Through thorough exploration and explanation, it showcases the latest research and advancements, offering valuable insights into how computational methods are utilized to design and optimize biomaterials, simulate biological processes, and develop innovative medical devices. FEATURES Provides practical guidance and real-world examples to help readers apply computational approaches effectively in their work Explores the diverse computational approaches employed in biomaterials and biomedical engineering applications, offering a comprehensive view of the field Introduces emerging topics and cutting-edge techniques, keeping wide range of readers at the forefront of advancements in computational bioengineering Discusses the integration of computational methods in biomaterials and biomedical engineering, fostering a deeper understanding of their synergistic potential Provides a valuable resource for researchers, practitioners, and students alike, serving as a comprehensive guide to computational approaches in biomaterials and biomedical engineering applications The book is well-organized and easy to read. The chapters are written in a clear and concise style, and they provide a comprehensive overview of the topics covered. The book is also well-illustrated with figures and tables that help to explain the concepts discussed in the text. With its comprehensive coverage, practical examples, and expert insights, this book serves as a valuable resource for researchers, students, and professionals in the fields of biomaterials and biomedical engineering.
