Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence

Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence

Release Date: January, 2020|Copyright: © 2020 |Pages: 403
DOI: 10.4018/978-1-7998-3038-2
ISBN13: 9781799830382|ISBN10: 1799830381|EISBN13: 9781799830405
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Description & Coverage
Description:

While cognitive informatics and natural intelligence are receiving greater attention by researchers, multidisciplinary approaches still struggle with fundamental problems involving psychology and neurobiological processes of the brain. Examining the difficulties of certain approaches using the tools already available is vital for propelling knowledge forward and making further strides.

Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence is a collection of innovative research that examines the enhancement of human cognitive performance using emerging technologies. Featuring research on topics such as parallel computing, neuroscience, and signal processing, this book is ideally designed for engineers, computer scientists, programmers, academicians, researchers, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Big Data
  • Edge Computing
  • Fog Computing
  • Human Cognitive Performance
  • Machine Learning
  • Neurobiology
  • Neuroscience
  • Parallel Computing
  • Pattern Recognition
  • Perception and Consciousness
  • Signal Processing
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Editor/Author Biographies
Kwok Tai Chui received the B.Eng. degree in Electronic and Communication Engineering – Business Intelligence Minor, with first-class honor, from City University of Hong Kong in 2013, where he is a Ph.D. candidate and is fully completed at the winter in 2017. He was the recipient of international awards in several IEEE events. For instance, he received the 2nd Prize Award (Postgraduate Category) of 2014 IEEE Region 10 Student Paper Contest, and Best Paper Award in IEEE The International Conference on Consumer Electronics-China, in both 2014 and 2015. He has been serving as Guest Editors in Journal of Internet Technology, Managing Editor inInternational Journal on Semantic Web and Information Systemss, International Advisory Board in International Journal of Healthcare Information Systems and Informatics, Editorial Advisory Board in Journal of Science and Technology Policy Management, Associate Editor in International Journal of User-Driven Healthcare and International Journal of Public Health Management and Ethics, Editorial Review Board of 6 journals, Technical Program Committee in The International Conference on Biomedical Engineering and Biotechnology (since 2015), The International Conference on Electronics, Communications and Networks (since 2016) and Wireless Telecommunications Symposium (since 2016).
Dr. Miltiadis D. Lytras is an expert in advanced computer science and management, editor, lecturer, and research consultant, with extensive experience in academia and the business sector in Europe and Asia. Dr. Lytras is Research Professor at Deree College – The American College of Greece and Distinguished Scientist at the King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. Dr. Lytras is a world-class expert in the fields of cognitive computing, information systems, smart cities research, technology enabled innovation, social networks, computers in human behavior, and knowledge management. In his work, Dr. Lytras seeks to bring together and exploit synergies among scholars and experts committed to enhancing the quality of education for all. Dr. Lytras has co-edited more than 50 special issues in top impact factor journals and more than 45 books in international publishers.

Ryan Wen Liu received the B.Sc. degree (Hons.) in information and computing science from the Department of Mathematics, Wuhan University of Technology, Wuhan, China, in 2009, and the Ph.D. degree in mathematical imaging from The Chinese University of Hong Kong, Hong Kong, in 2015. He was a Visiting Scholar with the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China, and also with the Agency for Science, Technology, and Research (A*STAR), Singapore. He is currently an Associate Professor with the School of Navigation, Wuhan University of Technology. His research interests include computer vision, trajectory data mining, machine learning, and computational navigation sciences. He is an Associate Editor of the International Journal on Semantic Web and Information Systems.

Mingbo Zhao received the PhD degree from the Department of Electronic Engineering, City University of Hong Kong, Hong Kong, in Feb. 2013 and worked as a research associate in the Department of Electronic Engineering, City University of Hong Kong, Hong Kong from Sep. 2012 to Jun. 2016. He is currently a Full Professor with Donghua University, China. His current interests include data mining, machine learning, pattern recognition, and their applications. He has authored/co-authored 100 papers published at prestigious international journals and conferences, e.g., the IEEE Transactions on Image Processing, the IEEE Transactions on Industrial Informatics, the IEEE Transactions on Knowledge and Data Engineering, the ACM Transactions on Intelligent Systems and Technology, the Pattern Recognition, the Computer Vision and Image Understanding (CVIU), the Information Sciences, Neural Networks, etc. He is a member of the IEEE.

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