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Digital technology has enabled a number of internet-enabled devices
that generate huge volumes of data from different systems. This
large amount of heterogeneous data requires efficient data
collection, processing, and analytical methods. Deep Learning is
one of the latest efficient and feasible solutions that enable
smart devices to function independently with a decision-making
support system. Convergence of Deep Learning and Internet of
Things: Computing and Technology contributes to technology and
methodology perspectives in the incorporation of deep learning
approaches in solving a wide range of issues in the IoT domain to
identify, optimize, predict, forecast, and control emerging IoT
systems. Covering topics such as data quality, edge computing, and
attach detection and prediction, this premier reference source is a
comprehensive resource for electricians, communications
specialists, mechanical engineers, civil engineers, computer
scientists, students and educators of higher education, librarians,
researchers, and academicians.
Digital technology has enabled a number of internet-enabled devices
that generate huge volumes of data from different systems. This
large amount of heterogeneous data requires efficient data
collection, processing, and analytical methods. Deep Learning is
one of the latest efficient and feasible solutions that enable
smart devices to function independently with a decision-making
support system. Convergence of Deep Learning and Internet of
Things: Computing and Technology contributes to technology and
methodology perspectives in the incorporation of deep learning
approaches in solving a wide range of issues in the IoT domain to
identify, optimize, predict, forecast, and control emerging IoT
systems. Covering topics such as data quality, edge computing, and
attach detection and prediction, this premier reference source is a
comprehensive resource for electricians, communications
specialists, mechanical engineers, civil engineers, computer
scientists, students and educators of higher education, librarians,
researchers, and academicians.
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