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£60.35
Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications (Advances in Web Technologies and Engineering)
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Last 91 days • 91 data points
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Price distribution over 91 days • 5 price ranges
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Most common range: £60-89 (26 days, 28.6%)
Price range: £60 - £201
Price levels: 5 price ranges over 91 days
Description
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.
Product Specifications
- Format
- hardcover
- ASIN
- 1799875113
- Domain
- Amazon UK
- Release Date
- 29 January 2021
- Listed Since
- 13 November 2020
Barcode
No barcode data available
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