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The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications
The volume explores the ways in which the lottery was imagined in early modern and long eighteenth-century Europe. It presents a series of interconnected case studies from Denmark-Norway, the German-speaking areas, Britain, the Low Countries, France, Italy, and Spain, which bring into dialogue a wide range of materials: lottery tickets and advertisements, pamphlets and periodicals, visual art, popular songs, poetry, prose fiction and plays, political, moral, and judicial treatises. This material suggests how lotteries were perceived as inviting fantasies, dreams, and daydreams; as engendering folly, superstition, and compulsive playing; as leading to social misery, bankruptcy, and suicide; as betraying questions of risk, trust, and fairness; and as being deeply embedded in the political and fi nancial development of an emerging modernity.
Biomedical Sensors and Smart Sensing: A Beginner's Guide, a book in the 10-volume Primers in Biomedical Imaging Devices and Systems series, covers a wide range of interdisciplinary applications in imaging modalities, nuclear medicine, computed tomographic systems, x-ray systems, magnetic resonance imaging, ultrasound, and virtual reality. The series explores the essential fundamental techniques required to analyze and process signals and images for diagnosis, scientific discovery and medical applications. Volumes in this series cover a wide range of interdisciplinary areas, combining foundational content with practical case studies to demonstrate the applications of these technologies in real-world situations. In addition, the 10-volume series considers various medical devices, electronics, circuits, sensors and algorithms. Several applications ranging from basic biological science to clinical practice are included to facilitate ongoing research. - Covers a variety of sensing and signal processing techniques - Introduces different approaches relating to communication and intelligent data processing for early detection and prediction of diseases - Includes practical case studies
Multifunctional Inorganic Nanomaterials for Energy Applications provides deep insight into the role of multifunctional nanomaterials in the field of energy and power generation applications. It mainly focuses on the synthesis, fabrication, design, development, and optimization of novel functional inorganic nanomaterials for energy storage and saving devices. It also covers studies of inorganic electrode materials for supercapacitors, membranes for batteries and fuel cells, and materials for display systems and energy generation. Features: Explores computational and experimental methods of preparing inorganic nanomaterials and their multifunctional applications Includes synthesis and performance analysis of various functional nanomaterials for energy storage and saving applications Reviews current research directions and latest developments in the field of energy materials Discusses importance of computational techniques in designing novel nanomaterials Highlights importance of multifunctional applications of nanomaterials in the energy sector This book is aimed at graduate students and researchers in materials science, electrical engineering, and nanomaterials.
This Handbook seeks to examine and advance current understanding of the confluence of construction health, safety and well-being and the broad range of Industry 4.0 technologies in use in the architecture, engineering and construction (AEC) industry. Globally, the construction sector accounts for more than 100,000 occupational fatalities annually. In many countries, reports of work-related accidents, injuries and illnesses are commonplace, and there is an urgent need to improve the occupational safety and health (OSH) outlook of the construction sector. The fourth industrial revolution presents opportunities to leverage modern technologies (e.g., big data, artificial intelligence, automation...
Issues for 1998-2003, 2008-2011, 2014- cataloged as a serial in LC.
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