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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications (Paperback)
Loot Price: R5,733
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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications (Paperback)
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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. Examining 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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