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Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications (Hardcover)
Loot Price: R7,451
Discovery Miles 74 510
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Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications (Hardcover)
Expected to ship within 10 - 15 working days
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Deep learning, as a recent AI technique, has proven itself
efficient in solving many real-world problems. Deep learning
algorithms are efficient, high performing, and an effective
standard for solving these problems. In addition, with IoT, deep
learning is in many emerging and developing domains of computer
technology. Deep learning algorithms have brought a revolution in
computer vision applications by introducing an efficient solution
to several image processing-related problems that have long
remained unresolved or moderately solved. Various significant IoT
technologies in various industries, such as education, health,
transportation, and security, combine IoT with deep learning for
complex problem solving and the supported interaction between human
beings and their surroundings. The Handbook of Research on the
Impact of Deep Learning and IoT on Multi-Industry Applications
provides insights on how deep learning, together with IoT, impacts
various sectors such as healthcare, agriculture, cyber security,
and social media analysis applications. The chapters present
solutions to various real-world problems using these methods from
various researchers' points of view. While highlighting topics such
as medical diagnosis, power consumption, livestock management,
security, and social media analysis, this book is ideal for IT
specialists, technologists, security analysts, medical
practitioners, imaging specialists, diagnosticians, academicians,
researchers, industrial experts, scientists, and undergraduate and
postgraduate students who are working in the field of computer
engineering, electronics, and electrical engineering.
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