Applied Biomechatronics Using Mathematical Models

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Author :
Publisher : Academic Press
ISBN 13 : 0128125950
Total Pages : 664 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Applied Biomechatronics Using Mathematical Models by : Jorge Garza Ulloa

Download or read book Applied Biomechatronics Using Mathematical Models written by Jorge Garza Ulloa and published by Academic Press. This book was released on 2018-06-16 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Biomechatronics Using Mathematical Models provides an appropriate methodology to detect and measure diseases and injuries relating to human kinematics and kinetics. It features mathematical models that, when applied to engineering principles and techniques in the medical field, can be used in assistive devices that work with bodily signals. The use of data in the kinematics and kinetics analysis of the human body, including musculoskeletal kinetics and joints and their relationship to the central nervous system (CNS) is covered, helping users understand how the complex network of symbiotic systems in the skeletal and muscular system work together to allow movement controlled by the CNS. With the use of appropriate electronic sensors at specific areas connected to bio-instruments, we can obtain enough information to create a mathematical model for assistive devices by analyzing the kinematics and kinetics of the human body. The mathematical models developed in this book can provide more effective devices for use in aiding and improving the function of the body in relation to a variety of injuries and diseases. Focuses on the mathematical modeling of human kinematics and kinetics Teaches users how to obtain faster results with these mathematical models Includes a companion website with additional content that presents MATLAB examples

Applied Mathematical Models in Human Physiology

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Author :
Publisher : SIAM
ISBN 13 : 0898715393
Total Pages : 304 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Applied Mathematical Models in Human Physiology by : Johnny T. Ottesen

Download or read book Applied Mathematical Models in Human Physiology written by Johnny T. Ottesen and published by SIAM. This book was released on 2004-02-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces mathematicians to real applications from physiology. Using mathematics to analyze physiological systems, the authors discuss models reflecting current research in cardiovascular and pulmonary physiology. In particular, they present models describing blood flow in the heart and the cardiovascular system, as well as the transport of oxygen and carbon dioxide through the respiratory system and a model for baroreceptor regulation. This is the only book available that analyzes up-to-date models of the physiological system at several levels of detail; both simple 'real-time' models that can be directly used in larger systems, and more detailed 'reference' models that show the underlying physiological mechanisms and provide parameters for and validation of simpler models. The book also covers two-dimensional modeling of the fluid dynamics in the heart and its ability to pump, and includes a discussion of modeling wave-propagation throughout the systemic arteries.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

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Author :
Publisher : Elsevier
ISBN 13 : 0128209348
Total Pages : 705 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models by : Jorge Garza Ulloa

Download or read book Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models written by Jorge Garza Ulloa and published by Elsevier. This book was released on 2021-11-30 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients

Mathematical Models of Exoskeleton

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Author :
Publisher : Springer Nature
ISBN 13 : 3030977331
Total Pages : 232 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Mathematical Models of Exoskeleton by : Andrey Valerievich Borisov

Download or read book Mathematical Models of Exoskeleton written by Andrey Valerievich Borisov and published by Springer Nature. This book was released on 2022-03-31 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the current state of the problem of describing the musculoskeletal system of a person. Models of the destruction of the endoskeleton and the restoration of its functions using exoskeleton are presented. A description is given of new approaches to modeling based on the use of weightless rods of variable length with concentrated masses. The practical application to the tasks of numerical simulation of the movements of the musculoskeletal system of a person is described. Exoskeleton models with variable-length units based on absolutely hard sections and sections that change their telescopic type length have been developed. The book is intended for specialists in the field of theoretical mechanics, biomechanics, robotics and related fields. The book will be useful to teachers, as well as graduate students, undergraduates and senior students of higher educational institutions, whose research interests lie in the modeling of anthropomorphic biomechanical systems.

Modeling Biomaterials

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Publisher : Springer Nature
ISBN 13 : 3030880842
Total Pages : 281 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Modeling Biomaterials by : Josef Málek

Download or read book Modeling Biomaterials written by Josef Málek and published by Springer Nature. This book was released on 2022-01-21 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: The investigation of the role of mechanical and mechano-chemical interactions in cellular processes and tissue development is a rapidly growing research field in the life sciences and in biomedical engineering. Quantitative understanding of this important area in the study of biological systems requires the development of adequate mathematical models for the simulation of the evolution of these systems in space and time. Since expertise in various fields is necessary, this calls for a multidisciplinary approach. This edited volume connects basic physical, biological, and physiological concepts to methods for the mathematical modeling of various materials by pursuing a multiscale approach, from subcellular to organ and system level. Written by active researchers, each chapter provides a detailed introduction to a given field, illustrates various approaches to creating models, and explores recent advances and future research perspectives. Topics covered include molecular dynamics simulations of lipid membranes, phenomenological continuum mechanics of tissue growth, and translational cardiovascular modeling. Modeling Biomaterials will be a valuable resource for both non-specialists and experienced researchers from various domains of science, such as applied mathematics, biophysics, computational physiology, and medicine.

Mathematical Models in Biomedical Science

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Author :
Publisher :
ISBN 13 : 9781632428899
Total Pages : 234 pages
Book Rating : 4.4/5 (288 download)

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Book Synopsis Mathematical Models in Biomedical Science by : Duncan Chambers

Download or read book Mathematical Models in Biomedical Science written by Duncan Chambers and published by . This book was released on 2020-09-15 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of biomedical science studies the mechanisms that are at the core of the function and formation of living organisms. It ranges in scope from the study of individual molecules to complex human functions. This contributes to our understanding of how different diseases, traumas and genetic defects alter physiological and behavioral processes. Modern biomedical science works at the cellular, molecular and systems level with the aid of techniques of molecular biology and genome characterization. Such studies have implications on potential medical therapies and clinical studies, and the understanding of disease mechanisms. The integration of mathematics with biomedical sciences has led to many such applications and innovations. Mathematical modeling and analysis, optimization techniques and computational methods, numerical analysis, applied statistics or a combination of these are used for solving problems in this field. Mathematical models and methods also form the basis for the construction of imaging techniques in biomedical science. This has transformed the practice of medicine and furthered the scope of non-invasive diagnosis and surgical planning for guiding surgery, biopsy and radiation therapy. The field of biomedical science and engineering has undergone rapid development over the past few decades. This book elucidates the mathematical concepts and models that have led to advancements in biomedical science. It is an essential guide for both academicians and those who wish to pursue this discipline further.

Biomathematics

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Publisher : World Scientific
ISBN 13 : 9812774858
Total Pages : 525 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Biomathematics by : J. C. Misra

Download or read book Biomathematics written by J. C. Misra and published by World Scientific. This book was released on 2006 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on modelling and simulation in biomathematics will be invaluable to researchers who are interested in the emerging areas of the field. Graduate students in related areas as well as lecturers will also find it beneficial. Some of the chapters have been written by distinguished experts in the field. Sample Chapter(s). Chapter 1: Detecting Mosaic Structures in DNA Sequence Alignments (1,349 KB). Contents: Detecting Mosaic Structures in DNA Sequence Alignments (D Husmeier); Application of Statistical Methodology and Model Design to Socio-Behaviour of HIV Transmission (J Oluwoye); A Stochastic Model Incorporating HIV Treatments for a Heterosexual Population: Impact on Threshold Conditions (R J Gallop et al.); Modeling and Identification of the Dynamics of the MF-Influenced Free-Radical Transformations in Lipid-Modeling Substances and Lipids (J Bentsman et al.); Computer Simulation of Self-Reorganization in Biological Cells (D Greenspan); Modelling Biological Gel Contraction by Cells: Consequences of Cell Traction Forces Distribution and Initial Stress (S Ramtani); Peristaltic Transport of Physiological Fluids (J C Misra & S K Pandey); Mathematical Modelling of DNA Knots and Links (J C Misra & S Mukherjee); Using Monodomain Computer Models for the Simulation of Electric Fields During Excitation Spread in Cardiac Tissue (G Plank); Flow in Tubes with Complicated Geometries with Special Application to Blood Flow in Large Arteries (G Jayaraman); Mathematical Modeling in Reproductive Biomedicine (S Sharma & S K Guha); Image Theory and Applications in Bioelectromagnetics (P D Einziger et al.); Dynamics of Humanoid Robots: Geometrical and Topological Duality (V G Ivancevic); The Effects of Body Composition on Energy Expenditure and Weight Dynamics During Hypophagia: A Setpoint Analysis (F P Kozusko); Mathematical Models in Population Dynamics and Ecology (R Diluo); Modelling in Bone Biomechanics (J C Misra & S Samanta). Readership: Graduate students, academic and researchers in biomathematics, mathematical biology, mathematical modeling, biotechnology, biocomputing, biophysics, bioengineering and mechanics."

Mathematical Models in the Health Sciences

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Publisher :
ISBN 13 : 9780816668267
Total Pages : 372 pages
Book Rating : 4.6/5 (682 download)

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Book Synopsis Mathematical Models in the Health Sciences by : Eugene Ackerman

Download or read book Mathematical Models in the Health Sciences written by Eugene Ackerman and published by . This book was released on 1979-11-12 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Models in the Health Sciences was first published in 1979.This book, designed especially for use in graduate courses in the health sciences, will be useful also as a reference work for scientists in various disciplines. It provides an introduction to mathematical modeling through the use of selected examples from the health sciences. Where appropriate, computer techniques are discussed and illustrated with examples drawn from studies by the authors and their colleagues. An introductory chapter discusses mathematical models and their roles in biomedical research. The rest of the material is divided in three sections of four chapters each: Deterministic Models, Time Series Analysis, and Information and Simulation. A bibliography accompanies each chapter. In their conclusion the authors place mathematical biology and its techniques in perspective.

A Comprehensive Physically Based Approach to Modeling in Bioengineering and Life Sciences

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Publisher : Academic Press
ISBN 13 : 9780128125182
Total Pages : 0 pages
Book Rating : 4.1/5 (251 download)

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Book Synopsis A Comprehensive Physically Based Approach to Modeling in Bioengineering and Life Sciences by : Riccardo Sacco

Download or read book A Comprehensive Physically Based Approach to Modeling in Bioengineering and Life Sciences written by Riccardo Sacco and published by Academic Press. This book was released on 2019-07-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Comprehensive Physically Based Approach to Modeling in Bioengineering and Life Sciences provides a systematic methodology to the formulation of problems in biomedical engineering and the life sciences through the adoption of mathematical models based on physical principles, such as the conservation of mass, electric charge, momentum, and energy. It then teaches how to translate the mathematical formulation into a numerical algorithm that is implementable on a computer. The book employs computational models as synthesized tools for the investigation, quantification, verification, and comparison of different conjectures or scenarios of the behavior of a given compartment of the human body under physiological and pathological conditions.

Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology

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Publisher : McGraw Hill Professional
ISBN 13 : 0071714464
Total Pages : 216 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology by : Willem L. van Meurs

Download or read book Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology written by Willem L. van Meurs and published by McGraw Hill Professional. This book was released on 2011-08-07 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: THEORY AND PRACTICE OF MODELING AND SIMULATING HUMAN PHYSIOLOGY Written by a coinventor of the Human Patient Simulator (HPS) and past president of the Society in Europe for Simulation Applied to Medicine (SESAM), Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology is a compact and consistent introduction to this expanding field. The book divides the modeling and simulation process into five manageable steps--requirements, conceptual models, mathematical models, software implementation, and simulation results and validation. A framework and a basic set of deterministic, continuous-time models for the cardiorespiratory system are provided. This timely resource also addresses advanced topics, including sensitivity analysis and setting model requirements as part of an encompassing simulation and simulator design. Practical examples provide you with the skills to evaluate and adapt existing physiologic models or create new ones for specific applications. Coverage includes: Signals and systems Model requirements Conceptual models Mathematical models Software implementation Simulation results and model validation Cardiorespiratory system model Circulation Respiration Physiologic control Sensitivity analysis of a cardiovascular model Design of model-driven acute care training simulators “Uniquely qualified to author such a text, van Meurs is one of the original developers of CAE Healthcare’s Human Patient Simulator (HPS). ...His understanding of mathematics, human physiology, pharmacology, control systems, and systems engineering, combined with a conversational writing style, results in a readable text. ...The ample illustrations and tables also break up the text and make reading the book easier on the eyes. ...concise yet in conversational style, with real-life examples. This book is highly recommended for coursework in physiologic modeling and for all who are interested in simulator design and development. The book pulls all these topics together under one cover and is an important contribution to biomedical literature.” --IEEE Pulse, January 2014 “This book is written by a professional engineer who is unique in that he seems to have a natural understanding of 3 key areas as follows: the hardware involved with simulators, human physiology, and mathematical modeling. Willem van Meurs is one of the inventors of the model-driven human patient simulator (HPS), and so, he is very qualified to write this book. The book is written in a clear way, using the first person throughout, in a conversational manner, with a style that involves posing questions and answering them in subsequent text. ...The book starts with a very useful introduction and background chapter, setting out the scene for the rest of the book. ...I have used his book in enhancing my own talks and understanding human patient simulation and can strongly recommend it.” --Simulation in Healthcare December, 2012 Reviewed by Mark A. Tooley, Ph.D., Department of Medical Physics and Bioengineering, Royal United Hospital, Combe Park, Bath, UK.

Mathematical Modeling of Biological Systems, Volume II

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Publisher : Birkhäuser
ISBN 13 : 9780817645564
Total Pages : 0 pages
Book Rating : 4.6/5 (455 download)

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Book Synopsis Mathematical Modeling of Biological Systems, Volume II by : Andreas Deutsch

Download or read book Mathematical Modeling of Biological Systems, Volume II written by Andreas Deutsch and published by Birkhäuser. This book was released on 2007-10-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume II of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout are mathematical and computational apporaches to examine central problems in the life sciences, ranging from the organization principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods and education. The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.

Mathematical Modelling in Biomedicine

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Publisher :
ISBN 13 : 9789400954939
Total Pages : 280 pages
Book Rating : 4.9/5 (549 download)

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Book Synopsis Mathematical Modelling in Biomedicine by : Y. Cherruault

Download or read book Mathematical Modelling in Biomedicine written by Y. Cherruault and published by . This book was released on 2014-09-01 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modeling of Biological Materials

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Publisher : Birkhäuser
ISBN 13 : 9780817644109
Total Pages : 358 pages
Book Rating : 4.6/5 (441 download)

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Book Synopsis Modeling of Biological Materials by : Francesco Mollica

Download or read book Modeling of Biological Materials written by Francesco Mollica and published by Birkhäuser. This book was released on 2007-04-26 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique collection highlights the central role played by modeling in general, and the modeling of mechanical considerations that have an effect on living matter. The volume collects several survey papers by actively working specialists, dealing with some of the most important problems – both theoretical and practical – in biomechanics. Written in a user-friendly style, these papers clearly explain both the biomedical and mechanical backgrounds associated with complex phenomena. This book may be used in interdisciplinary introductory courses covering various biomechanical topics for graduate students in applied mathematics, engineering, and biomedicine.

Computational Modeling in Biomedical Engineering and Medical Physics

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Publisher : Academic Press
ISBN 13 : 0128178973
Total Pages : 320 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Computational Modeling in Biomedical Engineering and Medical Physics by : Alexandru Morega

Download or read book Computational Modeling in Biomedical Engineering and Medical Physics written by Alexandru Morega and published by Academic Press. This book was released on 2020-10-02 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical and numerical modelling of engineering problems in medicine is aimed at unveiling and understanding multidisciplinary interactions and processes and providing insights useful to clinical care and technology advances for better medical equipment and systems. When modelling medical problems, the engineer is confronted with multidisciplinary problems of electromagnetism, heat and mass transfer, and structural mechanics with, possibly, different time and space scales, which may raise concerns in formulating consistent, solvable mathematical models. Computational Medical Engineering presents a number of engineering for medicine problems that may be encountered in medical physics, procedures, diagnosis and monitoring techniques, including electrical activity of the heart, hemodynamic activity monitoring, magnetic drug targeting, bioheat models and thermography, RF and microwave hyperthermia, ablation, EMF dosimetry, and bioimpedance methods. The authors discuss the core approach methodology to pose and solve different problems of medical engineering, including essentials of mathematical modelling (e.g., criteria for well-posed problems); physics scaling (homogenization techniques); Constructal Law criteria in morphing shape and structure of systems with internal flows; computational domain construction (CAD and, or reconstruction techniques based on medical images); numerical modelling issues, and validation techniques used to ascertain numerical simulation results. In addition, new ideas and venues to investigate and understand finer scale models and merge them into continuous media medical physics are provided as case studies. Presents the fundamentals of mathematical and numerical modeling of engineering problems in medicine Discusses many of the most common modelling scenarios for Biomedical Engineering, including, electrical activity of the heart hemodynamic activity monitoring, magnetic drug targeting, bioheat models and thermography, RF and microwave hyperthermia, ablation, EMF dosimetry, and bioimpedance methods Includes discussion of the core approach methodology to pose and solve different problems of medical engineering, including essentials of mathematical modelling, physics scaling, Constructal Law criteria in morphing shape and structure of systems with internal flows, computational domain construction, numerical modelling issues, and validation techniques used to ascertain numerical simulation results

Cognitive Informatics, Computer Modelling, and Cognitive Science

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Publisher : Academic Press
ISBN 13 : 0128194464
Total Pages : 408 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Cognitive Informatics, Computer Modelling, and Cognitive Science by : G. R. Sinha

Download or read book Cognitive Informatics, Computer Modelling, and Cognitive Science written by G. R. Sinha and published by Academic Press. This book was released on 2020-04-08 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Informatics, Computer Modelling, and Cognitive Science: Volume Two, Application to Neural Engineering, Robotics, and STEM presents the practical, real-world applications of Cognitive Science to help readers understand how it can help them in their research, engineering and academic pursuits. The book is presented in two volumes, covering Introduction and Theoretical Background, Philosophical and Psychological Theory, and Cognitive Informatics and Computing. Volume Two includes Statistics for Cognitive Science, Cognitive Applications and STEM Case Studies. Other sections cover Cognitive Informatics, Computer Modeling and Cognitive Science: Application to Neural Engineering, Robotics, and STEM. The book's authors discuss the current status of research in the field of Cognitive Science, including cognitive language processing that paves the ways for developing numerous tools for helping physically challenged persons, and more. Identifies how foundational theories and concepts in cognitive science are applicable in other fields Includes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEM Presents basic statistics and cognitive maps, testing strategies of hypothesis, maximum likelihood estimator, Bayesian statistics, and discrete probability models of neural computation Contains in-depth technical coverage of cognitive applications and case studies, including neuro-computing, brain modeling, cognitive ability and cognitive robots

Diversity, Divergence, Dialogue

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Publisher : Springer Nature
ISBN 13 : 3030712923
Total Pages : 662 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Diversity, Divergence, Dialogue by : Katharina Toeppe

Download or read book Diversity, Divergence, Dialogue written by Katharina Toeppe and published by Springer Nature. This book was released on 2021-03-19 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 12645-12646 constitutes the refereed proceedings of the 16th International Conference on Diversity, Divergence, Dialogue, iConference 2021, held in Beijing, China, in March 2021. The 32 full papers and the 59 short papers presented in this volume were carefully reviewed and selected from 225 submissions. They cover topics such as: AI and machine learning; data science; human-computer interaction; social media; digital humanities; education and information literacy; information behavior; information governance and ethics; archives and records; research methods; and institutional management.

Multiscale Models in Mechano and Tumor Biology

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Publisher : Springer
ISBN 13 : 9783319733708
Total Pages : 195 pages
Book Rating : 4.7/5 (337 download)

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Book Synopsis Multiscale Models in Mechano and Tumor Biology by : Alf Gerisch

Download or read book Multiscale Models in Mechano and Tumor Biology written by Alf Gerisch and published by Springer. This book was released on 2018-03-17 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents and discusses the state of the art and future perspectives in mathematical modeling and homogenization techniques with the focus on addressing key physiological issues in the context of multiphase healthy and malignant biological materials. The highly interdisciplinary content brings together contributions from scientists with complementary areas of expertise, such as pure and applied mathematicians, engineers, and biophysicists. The book also features the lecture notes from a half-day introductory course on asymptotic homogenization. These notes are suitable for undergraduate mathematics or physics students, while the other chapters are aimed at graduate students and researchers.