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Advances in Material Sciences and Engineering
This book presents selected papers from the 4th International Conference on Mechanical, Manufacturing and Plant Engineering (ICMMPE 2018), which was held in Melaka, Malaysia from the 14th to the 15th of November 2018. The proceedings discuss genuine problems concerning joining technologies that are at the heart of various manufacturing sectors. In addition, they present the outcomes of experimental and numerical works addressing current problems in soldering, arc welding and solid-state joining technologies.
Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction
Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction presents an overview of an emerging field that is concerned with exploiting multiple modalities of communication in both Artificial Intelligence and Human-Machine Interaction. The book not only provides cross disciplinary research in the fields of multimodal signal acquisition and sensing, analysis, IoTs (Internet of Things), Artificial Intelligence, and system architectures, it also evaluates the role of Artificial Intelligence I in relation to the realization of contemporary Human Machine Interaction (HMI) systems.Readers are introduced to the multimodal signals and their role in the identification of the...
Digital Hearing Healthcare
We would like to acknowledge VCCA2020-Organizer Jan-Willem Wasmann, who has acted as coordinator and has contributed to the preparation of the proposal for this Research Topic. Dr. Qinglin Meng is working on an audio project for Huawei Technologies Co., Ltd. Dr. Jing Chen is working on research projects with Sonova AG. Dr. Fan-Gang Zeng owns stock in Axonics, Nurotron, Syntiant, Velox and Xsense. Dr. Dennis Barbour founded and owns equity in Bonauria. All other Topic Editor declare no conflicts of interest.
Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning
This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of patients with critical health situation is required. It allows monitoring of their health status during daily life activities such as during sports, walking and sleeping. It is realizable by intelligently hybridizing the modern IoT framework, wireless biomedical implants and cloud computing. Such solutions are currently under development and in testing phases by healthcare and governmental institutio...
