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Data Science for COVID-19 Volume 1: Computational Perspectives, Kose Utku, Gupta Deepak, Albuquerque Victor Hugo Costa de


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Автор: Kose Utku, Gupta Deepak, Albuquerque Victor Hugo Costa de
Название:  Data Science for COVID-19 Volume 1: Computational Perspectives
ISBN: 9780128245361
Издательство: Elsevier Science
Классификация:

ISBN-10: 0128245360
Обложка/Формат: Paperback
Страницы: 752
Вес: 1.27 кг.
Дата издания: 27.05.2021
Язык: English
Размер: 23.50 x 19.05 x 3.81 cm
Подзаголовок: Computational perspectives
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation.



Computational Learning Approaches To Data Analytics In Biomedical Applications

Автор: Al-Jabery, Khalid
Название: Computational Learning Approaches To Data Analytics In Biomedical Applications
ISBN: 0128144823 ISBN-13(EAN): 9780128144824
Издательство: Elsevier Science
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Цена: 132500.00 T
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Описание:

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes an overview of statistical methods that can be applied to increase confidence in the clustering framework and analysis of the results obtained.


From Computer to Brain / Foundations of Computational Neuroscience

Автор: Lytton William W.
Название: From Computer to Brain / Foundations of Computational Neuroscience
ISBN: 0387955267 ISBN-13(EAN): 9780387955261
Издательство: Springer
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Цена: 41880.00 T
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Описание: Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.

Integer Linear Programming in Computational and Systems Biology: An Entry-Level Text and Course

Автор: Dan Gusfield
Название: Integer Linear Programming in Computational and Systems Biology: An Entry-Level Text and Course
ISBN: 1108421768 ISBN-13(EAN): 9781108421768
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: Integer linear programming is a versatile modeling and optimization technique with potential to transform biological computation. This hands-on text, designed for students, researchers, and professionals in both biology and computational fields, demonstrates applications in genomics, RNA and protein folding, DNA sequencing, phylogenetics, and more.

Computational topology for biomedical image and data analysis

Автор: Moraleda, Rodrigo Rojas Valous, Nektarios A. Xiong
Название: Computational topology for biomedical image and data analysis
ISBN: 1138336343 ISBN-13(EAN): 9781138336346
Издательство: Taylor&Francis
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Цена: 58170.00 T
Наличие на складе: Невозможна поставка.
Описание: This book provides an accessible yet rigorous introduction to topology and homology focused on the simplicial space. It presents a compact pipeline from the foundations of topology to biomedical applications.

Computational Modeling of Covid-19 Disease: Numerical Ode Analysis with R Programming

Автор: Schiesser William E.
Название: Computational Modeling of Covid-19 Disease: Numerical Ode Analysis with R Programming
ISBN: 9811222878 ISBN-13(EAN): 9789811222870
Издательство: World Scientific Publishing
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Цена: 47520.00 T
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Описание: The book is intended for readers who are interested in learning about the use of computer-based modelling of the COVID-19 disease. It provides a basic introduction to a five-ordinary differential equation (ODE) model by providing a complete statement of the model, including a detailed discussion of the ODEs, initial conditions and parameters, followed by a line-by-line explanation of a set of R routines (R is a quality, scientific programming system readily available from the Internet). The reader can access and execute these routines without having to first study numerical algorithms and computer coding (programming) and can perform numerical experimentation with the model on modest computers.

Computational Neuroscience Models of the Basal Ganglia

Автор: V. Srinivasa Chakravarthy; Ahmed A. Moustafa
Название: Computational Neuroscience Models of the Basal Ganglia
ISBN: 9811341680 ISBN-13(EAN): 9789811341687
Издательство: Springer
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Цена: 149060.00 T
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Описание: The book is a compendium of the aforementioned subclass of models of Basal Ganglia, which presents some the key existent theories of Basal Ganglia function. The book presents computational models of basal ganglia-related disorders, including Parkinson’s disease, schizophrenia, and addiction. Importantly, it highlights the applications of understanding the role of the basal ganglia to treat neurological and psychiatric disorders. The purpose of the present book is to amend and expand on James Houk’s book (MIT press; ASIN: B010BF4U9K) by providing a comprehensive overview on computational models of the basal ganglia. This book caters to researchers and academics from the area of computational cognitive neuroscience.

Computational Vision and Bio Inspired Computing

Автор: D. Jude Hemanth; S. Smys
Название: Computational Vision and Bio Inspired Computing
ISBN: 3319891006 ISBN-13(EAN): 9783319891002
Издательство: Springer
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Цена: 93160.00 T
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Описание: This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements. The work also provides potential directions for future research.

New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering

Автор: Jo?o Manuel R. S. Tavares; Paulo Rui Fernandes
Название: New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering
ISBN: 3030230724 ISBN-13(EAN): 9783030230722
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book gathers selected, extended and revised contributions to the 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE2018), and the 3rd Conference on Imaging and Visualization, which took place on 26-29 March, 2018, in Lisbon, Portugal. The respective chapters highlight cutting-edge methods, e.g. new algorithms, image analysis techniques, and multibody modeling methods; and new findings obtained by applying them in biological and/or medical contexts. Original numerical studies, Monte Carlo simulations, FEM analyses and reaction-diffusion models are described in detail, together with intriguing new applications. The book offers a timely source of information for biologists, engineers, applied mathematicians and clinical researchers working on multidisciplinary projects, and is also intended to foster closer collaboration between these groups.

Computational Intelligence and Big Data Analytics

Автор: Ch. Satyanarayana; Kunjam Nageswara Rao; Richard G
Название: Computational Intelligence and Big Data Analytics
ISBN: 9811305439 ISBN-13(EAN): 9789811305436
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Автор: Sangaiah, Arun Kumar
Название: Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
ISBN: 0128133147 ISBN-13(EAN): 9780128133149
Издательство: Elsevier Science
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Цена: 129130.00 T
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Описание: Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. . It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful.

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Автор: Jianhua Yao; Ben Glocker; Tobias Klinder; Shuo Li
Название: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging
ISBN: 3319385992 ISBN-13(EAN): 9783319385990
Издательство: Springer
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Цена: 95770.00 T
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Описание: This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.

The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.


Computational EEG Analysis

Автор: Im
Название: Computational EEG Analysis
ISBN: 9811309078 ISBN-13(EAN): 9789811309076
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.


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