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This book presents cutting-edge research and developments in the field of biomedical engineering, with a special emphasis on achievements by Asian research groups. It covers machine learning and computational modeling methods applied to biomedical and clinical research, advanced methods for biosignal processing and bioimaging, MEMS applications, and advances in biosensors. Further topics include biomechanics, prosthetics, orthotics and tissue engineering. Other related (bio-) engineering applications, such as in ecosystem development, water quality assessment, and material research, are also covered. Gathering the proceedings of the 6th Kuala Lumpur International Conference on Biomedical Engineering, held online on July 28-29, 2021 from Kuala Lumpur, Malaysia, the book is intended to provide researchers and professionals with extensive and timely information on the state-of-the-art research and applications in biomedical engineering, and to promote interdisciplinary and international collaborations.
This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected from 164 submissions. The conference focuses on four important areas of pattern recognition: pattern recognition and machine learning, computer vision and robot vision, signal processing, and media processing and interaction, covering various technical aspects.
Cybersecurity is a paramount concern in both Internet of Things (IoT) and Cyber-Physical Systems (CPSs) due to the interconnected and often critical nature of these systems. The integration of AI/ML into the realm of IoT and CPS security has gained significant attention and momentum in recent years. The success of AI/ML in various domains has sparked interest in leveraging these technologies to enhance the security, resilience, and adaptability of IoT and CPS. Secure and Smart Cyber-Physical Systems provides an extensive exploration of AI/ML-based security applications in the context of IoT and CPS. Features Presents cutting-edge topics and research in IoT and CPS Includes contributions from...
This volume presents the proceedings of the 3rd International Conference on Movement, Health and Exercise 2016 (MoHE2016). The conference was jointly organized by the Biomedical Engineering Department and Sports Centre, University of Malaya. It was held in Malacca, from 28-30 September 2016. MoHE 2016 provided a good opportunity for speakers and participants to actively discuss about recent developments in a wide range of topics in the area of sports and exercise science. In total, 83 presenters and 140 participants took part in this successful conference.
It is with great pleasure that we present to you a collection of over 200 high quality technical papers from more than 10 countries that were presented at the Biomed 2008. The papers cover almost every aspect of Biomedical Engineering, from artificial intelligence to biomechanics, from medical informatics to tissue engineering. They also come from almost all parts of the globe, from America to Europe, from the Middle East to the Asia-Pacific. This set of papers presents to you the current research work being carried out in various disciplines of Biomedical En- neering, including new and innovative researches in emerging areas. As the organizers of Biomed 2008, we are very proud to be able to...
This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major areas in machine learning. The book reviews commercially available packages for machine learning and shows how they fit into the field. The book then shows how MATLAB can be used to solve machine learning problems and how MATLAB graphics can enhance the programmer’s understanding of the results and help users of their software grasp the results. Machine Learning can be very mathematical. The mathematics for each area is int...