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Author: IEEE Staff Publisher: ISBN: 9781538666517 Category : Languages : en Pages :
Book Description
The 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018) will be held at the unique Seagaia Convention Center, Miyazaki, Japan SMC2018 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society The scope includes the field of Systems Science & Engineering, Human Machine Systems and Cybernetics It provides an international forum for researchers and practitioners to report up to the minute innovation and development, summarize the state of the art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics The Advance has increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve our quality of life The conference also includes modern technologies such as big data analysis, IoT (Internet of Things), cloud computing, and artificial Intelligence
Author: IEEE Staff Publisher: ISBN: 9781538666517 Category : Languages : en Pages :
Book Description
The 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018) will be held at the unique Seagaia Convention Center, Miyazaki, Japan SMC2018 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society The scope includes the field of Systems Science & Engineering, Human Machine Systems and Cybernetics It provides an international forum for researchers and practitioners to report up to the minute innovation and development, summarize the state of the art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics The Advance has increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve our quality of life The conference also includes modern technologies such as big data analysis, IoT (Internet of Things), cloud computing, and artificial Intelligence
Author: Xin-She Yang Publisher: Springer Nature ISBN: 9811617813 Category : Technology & Engineering Languages : en Pages : 1058
Book Description
This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25–26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.
Author: Giancarlo Fortino Publisher: John Wiley & Sons ISBN: 1119863635 Category : Computers Languages : en Pages : 532
Book Description
Handbook of Human-Machine Systems Insightful and cutting-edge discussions of recent developments in human-machine systems In Handbook of Human-Machine Systems, a team of distinguished researchers delivers a comprehensive exploration of human-machine systems (HMS) research and development from a variety of illuminating perspectives. The book offers a big picture look at state-of-the-art research and technology in the area of HMS. Contributing authors cover Brain-Machine Interfaces and Systems, including assistive technologies like devices used to improve locomotion. They also discuss advances in the scientific and engineering foundations of Collaborative Intelligent Systems and Applications. Companion technology, which combines trans-disciplinary research in fields like computer science, AI, and cognitive science, is explored alongside the applications of human cognition in intelligent and artificially intelligent system designs, human factors engineering, and various aspects of interactive and wearable computers and systems. The book also includes: A thorough introduction to human-machine systems via the use of emblematic use cases, as well as discussions of potential future research challenges Comprehensive explorations of hybrid technologies, which focus on transversal aspects of human-machine systems Practical discussions of human-machine cooperation principles and methods for the design and evaluation of a brain-computer interface Perfect for academic and technical researchers with an interest in HMS, Handbook of Human-Machine Systems will also earn a place in the libraries of technical professionals practicing in areas including computer science, artificial intelligence, cognitive science, engineering, psychology, and neurobiology.
Author: E. Golden Julie Publisher: CRC Press ISBN: 1000370496 Category : Medical Languages : en Pages : 366
Book Description
This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy. Analyzing clinical data using deep learning techniques enables clinicians to diagnose diseases at an early stage and treat patients more effectively. Chapters explore such approaches as deep learning algorithms, convolutional neural networks and recurrent neural network architecture, image stitching techniques, deep RNN architectures, and more. This volume also depicts how deep learning techniques can be applied for medical diagnostics of several specific health scenarios, such as cancer, COVID-19, acute neurocutaneous syndrome, cardiovascular and neuro diseases, skin lesions and skin cancer, etc. Key features: Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used in biomedical deep learning systems Includes informative case studies that help to explain the new technologies Handbook of Deep Learning in Biomedical Engineering and Health Informatics provides a thorough exploration of biomedical systems applied with deep learning techniques and will provide valuable information for researchers, medical and industry practitioners, academicians, and students.
Author: P. Karrupusamy Publisher: Springer Nature ISBN: 3030345157 Category : Technology & Engineering Languages : en Pages : 801
Book Description
This book presents state-of-the-art theories and technologies and discusses developments in the two major fields: engineering and sustainable computing. In this modern era of information and communication technologies [ICT], there is a growing need for new sustainable and energy-efficient communication and networking technologies. The book highlights significant current and potential international research relating to theoretical and practical methods toward developing sustainable communication and networking technologies. In particular, it focuses on emerging technologies such as wireless communications, mobile networks, Internet of things [IoT], sustainability, and edge network models. The contributions cover a number of key research issues in software-defined networks, blockchain technologies, big data, edge/fog computing, computer vision, sentiment analysis, cryptography, energy-efficient systems, and cognitive platforms.
Author: Azad M. Madni Publisher: Springer Nature ISBN: 3030820831 Category : Technology & Engineering Languages : en Pages : 709
Book Description
This volume comprises papers from the 18th Conference on Systems Engineering Research (CSER). The theme of this volume, “Recent Trends and Advances in Model-Based Systems Engineering,” reflects the fact that systems engineering is undergoing a transformation motivated by mission and system complexity and enabled by technological advances such as model-based systems engineering, digital engineering, and the convergence of systems engineering with other disciplines. This conference is focused on exploring recent trends and advances in model-based systems engineering (MBSE) and the synergy of MBSE with simulation technology and digital engineering. Contributors have submitted papers on MBSE methods, modeling approaches, integration of digital engineering with MBSE, standards, modeling languages, ontologies and metamodels, and economics analysis of MBSE to respond to the challenges posed by 21st century systems. What distinguishes this volume are the latest advances in MBSE research, the convergence of MBSE with digital engineering, and recent advances in applied research in MBSE, including growing convergence with systems science and decision science. This volume is appropriate as a reference text in graduate engineering courses in Model-Based Systems Engineering.
Author: IEEE Staff
Author: IEEE Staff
Author: 
Author: 
Author: Thi Dieu Linh Nguyen
Author: Xin-She Yang
Author: Giancarlo Fortino
Author: E. Golden Julie
Author: P. Karrupusamy
Author: Azad M. Madni
Author: Russell A. Cohen Hoffing