Computational Intelligence Techniques for Combating COVID-19, Kautish Sandeep, Peng Sheng-Lung, Obaid Ahmed J.
Автор: Lahby Mohamed, Al-Fuqaha Ala, Maleh Yassine Название: Computational Intelligence Techniques for Green Smart Cities ISBN: 3030964280 ISBN-13(EAN): 9783030964283 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains high-quality and original research on computational intelligence for green smart cities research.
Описание: This research book presents the use of computational intelligence paradigms in the bioprocess-related tasks of modeling, supervision, monitoring and control, diagnostic, learning and optimization. All have applications to a wide variety of other areas.
Автор: Kautish Sandeep, Peng Sheng-Lung, Obaid Ahmed J. Название: Computational Intelligence Techniques for Combating Covid-19 ISBN: 3030689352 ISBN-13(EAN): 9783030689353 Издательство: Springer Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19.
Описание: This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques.
Автор: Naresh Babu Muppalaneni; Vinit Kumar Gunjan Название: Computational Intelligence Techniques for Comparative Genomics ISBN: 9812873376 ISBN-13(EAN): 9789812873378 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Brief highlights Informatics and related techniques to Computer Science Professionals, Engineers, Medical Doctors, Bioinformatics researchers and other interdisciplinary researchers. Chapters include the Bioinformatics of Diabetes and several computational algorithms and statistical analysis approach to effectively study the disorders and possible causes along with medical applications.
Автор: Sasikumar Gurumoorthy; Naresh Babu Muppalaneni; Xi Название: Computational Intelligence Techniques in Diagnosis of Brain Diseases ISBN: 9811065284 ISBN-13(EAN): 9789811065286 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal.
Описание: This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts.
Описание: World of Virtual Reality (VR) in Healthcare.- Towards a VIREAL Platform: Virtual Reality in Cognitive and Behavioural Training for Autistic Individuals.- Assisting Students To Understand Mathematical Graphs Using Virtual Reality Application.- Short Time Frequency Analysis of Theta Activity for the Diagnosis of Bruxism on EEG Sleep Record.- Hand Gesture Recognition for Human Computer Interaction and its Applications in Virtual Reality.- Fluid Dynamics in Healthcare Industries: Computational Intelligence Prospective.- A Novel Approach Towards using Big Data and IoT for Improving the Efficiency of m-Health Systems.- Using Artificial Intelligence to Bring Accurate Real-Time Simulation To Virtual Reality.- Application Of Chicken Swarm Optimization In Detection of Cancer and Virtual Reality.- Computational Fluid Dynamics Simulations with Applications in Virtual Reality Aided Health Care Diagnostics.- Data Analysis and Classification of Cardiovascular Disease and Risk Factors Associated With it in India.
Описание: World of Virtual Reality (VR) in Healthcare.- Towards a VIREAL Platform: Virtual Reality in Cognitive and Behavioural Training for Autistic Individuals.- Assisting Students To Understand Mathematical Graphs Using Virtual Reality Application.- Short Time Frequency Analysis of Theta Activity for the Diagnosis of Bruxism on EEG Sleep Record.- Hand Gesture Recognition for Human Computer Interaction and its Applications in Virtual Reality.- Fluid Dynamics in Healthcare Industries: Computational Intelligence Prospective.- A Novel Approach Towards using Big Data and IoT for Improving the Efficiency of m-Health Systems.- Using Artificial Intelligence to Bring Accurate Real-Time Simulation To Virtual Reality.- Application Of Chicken Swarm Optimization In Detection of Cancer and Virtual Reality.- Computational Fluid Dynamics Simulations with Applications in Virtual Reality Aided Health Care Diagnostics.- Data Analysis and Classification of Cardiovascular Disease and Risk Factors Associated With it in India.
Описание: This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques.Presents pattern recognition and the computational intelligence using Matlab;Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly;Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.
Автор: Nayak Janmenjoy, Naik Bighnaraj, Abraham Ajith Название: Understanding Covid-19: The Role of Computational Intelligence ISBN: 3030747603 ISBN-13(EAN): 9783030747602 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.
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: 19875.00 р. 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
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