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The volume of data that is generated, stored, and communicated across different industrial sections, business units, and scientific research communities has been rapidly expanding. The recent developments in cellular telecommunications and distributed/parallel computation technology have enabled real-time collection and processing of the generated data across different sections. On the one hand, the internet of things (IoT) enabled by cellular telecommunication industry connects various types of sensors that can collect heterogeneous data. On the other hand, the recent advances in computational capabilities such as parallel processing in graphical processing units (GPUs) and distributed processing over cloud computing clusters enabled the processing of a vast amount of data. There has been a vital need to discover important patterns and infer trends from a large volume of data (so-called Big Data) to empower data-driven decision-making processes. Tools and techniques have been developed in machine learning to draw insightful conclusions from available data in a structured and automated fashion. Machine learning algorithms are based on concepts and tools developed in several fields including statistics, artificial intelligence, information theory, cognitive science, and control theory. The recent advances in machine learning have had a broad range of applications in different scientific disciplines. This book covers recent advances of machine learning techniques in a broad range of applications in smart cities, automated industry, and emerging businesses.

Machine learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Physical Sciences --- Engineering and Technology --- Computer and Information Science --- Artificial Intelligence --- Machine Learning

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The papers in this proceeding discuss current and future trends in wearable communications and personal health management through the use of wireless body area networks (WBAN). The authors posit new technologies that can provide trustworthy communications mechanisms from the user to medical health databases. The authors discuss not only on-body devices, but also technologies providing information in-body. Also discussed are dependable communications combined with accurate localization and behavior analysis, which will benefit WBAN technology and make the healthcare processes more effective. The papers were presented at the 13th EAI International Conference on Body Area Networks (BODYNETS 2018), Oulu, Finland, 02-03 October 2018.

Electrical engineering. --- Application software. --- Health informatics. --- Electronics. --- Microelectronics. --- Signal processing. --- Image processing. --- Speech processing systems. --- Communications Engineering, Networks. --- Information Systems Applications (incl. Internet). --- Health Informatics. --- Electronics and Microelectronics, Instrumentation. --- Signal, Image and Speech Processing. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Electrical engineering --- Physical sciences --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Electric engineering --- Engineering --- Data processing --- Body area networks (Electronics) --- BANs (Body area networks) --- WBANs (Wireless body area networks) --- Wireless body area networks (Electronics) --- Wireless sensor networks --- Medical informatics.