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Examining the impact of deep learning and IoT on multi-industry applications / Roshani Raut and Albena Mihovska.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Raut, Roshani, 1981- author.
Mihovska, Albena, author.
Series:
Advances in web technologies and engineering (AWTE) book series.
Advances in Web Technologies and Engineering (AWTE) Book Series
Language:
English
Subjects (All):
Internet of things--Industrial applications.
Internet of things.
Machine learning--Industrial applications.
Machine learning.
Automation.
Physical Description:
23 PDFs (304 pages)
Place of Publication:
Hershey, Pennsylvania : IGI Global, [2021]
System Details:
Mode of access: World Wide Web.
Summary:
"This book provides insights on how deep learning, together with IOT, will impact various sectors such as healthcare, agriculture, cyber security, and social media analysis applications offering solutions to various real-world problems using these methods from various researchers' point of views"-- Provided by publisher.
Contents:
Chapter 1. Deep learning techniques in perception of cancer diagnosis
Chapter 2. Use of artificial intelligence (AI) in fighting with the Novel Coronavirus (COVID-19)
Chapter 3. Diagnosis of attention deficit hyperactivity disorder: an intelligent neuroimaging perspective
Chapter 4. Automated microcontroller-based irrigation system
Chapter 5. Performance prediction for crop irrigation using different machine learning approaches
Chapter 6. IoT and deep learning for livestock management
Chapter 7. Impact of deep learning on semantic sentiment analysis
Chapter 8. Motion imitation for monocular videos
Chapter 9. Deep learning for moving object detection and tracking
Chapter 10. Deep learning in social media analysis: machine and deep learning models for social media analysis in politics
Chapter 11. The replacement of HMI (human-machine interface) in industry using single interface through IoT
Chapter 12. An investigation for cellular automata-based lightweight data security model towards possible uses in fog networks
Chapter 13. Automated hydroponic system integrated with an android smartphone application
Chapter 14. CSAP: cyber security asynchronous programming with C++20 and C#8 for Internet of things and embedded software systems.
Notes:
Includes bibliographical references and index.
Description based on print version record.
ISBN:
9781799875178
OCLC:
1229956290

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