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Examining the impact of deep learnin...

Raut, Roshani, (1981-)

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Examining the impact of deep learning and IoT on multi-industry applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Examining the impact of deep learning and IoT on multi-industry applications/ Roshani Raut and Albena Mihovska, editors.
other author:	Raut, Roshani,
Published:	Hershey, Pennsylvania :IGI Global, : 2021.,
Description:	1 online resource (xix, 304 p.)
[NT 15003449]:	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.
Subject:	Internet of things - Industrial applications. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7511-6
ISBN:	9781799875178 (ebk.)

Examining the impact of deep learning and IoT on multi-industry applications
Examining the impact of deep learning and IoT on multi-industry applications[electronic resource] /Roshani Raut and Albena Mihovska, editors. - Hershey, Pennsylvania :IGI Global,2021. - 1 online resource (xix, 304 p.)

Includes bibliographical references and index.

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.

"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"--

ISBN: 9781799875178 (ebk.)Subjects--Topical Terms:

3452515
Internet of things
--Industrial applications.

LC Class. No.: TK5105.8857 / .E93 2021

Dewey Class. No.: 006.3/1

Examining the impact of deep learning and IoT on multi-industry applications
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020 $a 9781799875178 (ebk.)
020 $a 9781799875116 (hbk.)
035 $a (OCoLC)1229956290
035 $a 1101012305
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a TK5105.8857 $b .E93 2021
082 0 0 $a 006.3/1 $2 23
245 0 0 $a Examining the impact of deep learning and IoT on multi-industry applications $h [electronic resource] / $c Roshani Raut and Albena Mihovska, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2021.
300 $a 1 online resource (xix, 304 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "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"-- $c Provided by publisher.
650 0 $a Internet of things $x Industrial applications. $3 3452515
650 0 $a Machine learning $x Industrial applications. $3 1361578
650 0 $a Automation. $3 633305
700 1 $a Raut, Roshani, $d 1981- $3 3510804
700 1 $a Mihovska, Albena. $3 3510805
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7511-6