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Advances in Applications of Data-Driven Computing (Paperback, 1st ed. 2021)
Loot Price: R3,684
Discovery Miles 36 840
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Advances in Applications of Data-Driven Computing (Paperback, 1st ed. 2021)
Series: Advances in Intelligent Systems and Computing, 1319
Expected to ship within 10 - 15 working days
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This book aims to foster machine and deep learning approaches to
data-driven applications, in which data governs the behaviour of
applications. Applications of Artificial intelligence (AI)-based
systems play a significant role in today's software industry. The
sensors data from hardware-based systems making a mammoth database,
increasing day by day. Recent advances in big data generation and
management have created an avenue for decision-makers to utilize
these huge volumes of data for different purposes and analyses.
AI-based application developers have long utilized conventional
machine learning techniques to design better user interfaces and
vulnerability predictions. However, with the advancement of deep
learning-based and neural-based networks and algorithms,
researchers are able to explore and learn more about data and their
exposed relationships or hidden features. This new trend of
developing data-driven application systems seeks the adaptation of
computational neural network algorithms and techniques in many
application domains, including software systems, cyber security,
human activity recognition, and behavioural modelling. As such,
computational neural networks algorithms can be refined to address
problems in data-driven applications. Original research and review
works with model and build data-driven applications using
computational algorithm are included as chapters in this book.
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