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Machine Learning - Advanced Techniques and Emerging Applications

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ISBN: 9781789237528 9781789237535 Year: Pages: 230 DOI: 10.5772/intechopen.69783 Language: English
Publisher: IntechOpen
Subject: Computer Science
Added to DOAB on : 2019-10-03 07:51:52

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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.

Medical Internet of Things (m-IoT) - Enabling Technologies and Emerging Applications

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ISBN: 9781789850918 9781789850925 Year: Pages: 134 DOI: 10.5772/intechopen.71858 Language: English
Publisher: IntechOpen
Subject: Medical technology
Added to DOAB on : 2019-10-03 07:51:52

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The recent developments in biomedical sensors, wireless communication systems, and information networks are transforming the conventional healthcare systems. The transformed healthcare systems are enabling distributed healthcare services to patients who may not be co-located with the healthcare providers, providing early diagnoses, and reducing the cost in the healthcare section. The developments in medical internet of things (m-IoT) would enable a range of applications, including remote health monitoring through medical-grade wearables to provide homecare for elderlies; virtual doctor-patient interaction to have any time and place access to medical professionals; wireless endoscopic examination; and remotely operated robotic surgery to extend the access to highly skilled surgeons. Wireless body area networks (WBAN) are key enablers of these transformations. These networks connect sensors and actuators to external processing units, which could be placed on the surface of the patient's body or implanted inside the body to connect specific sensors and/or actuators inside, on, and around the body to the data collection points. The success of these networks highly relies on the advent of low-power, low-delay, reliable, and low-cost wireless connectivity solutions. This book covers recent developments in wireless healthcare systems to provide an insight to the technological solutions (e.g. for body area channel propagation models, communication techniques, and energy harvesting/transfer) for wireless body area networks, and emerging applications of medical internet of things and wireless healthcare systems.

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