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Examining the impact of deep learning and IoT on multi-industry applications[electronic resource] /

レコード種別:	コンピュータ・メディア : 単行資料
[NT 15000414] null:	006.3/1
タイトル / 著者:	Examining the impact of deep learning and IoT on multi-industry applications/ Roshani Raut and Albena Mihovska, editors.
その他の著者:	Raut, Roshani,
出版された:	Hershey, Pennsylvania : : IGI Global,, 2021.
記述:	1 online resource (xix, 304 p.)
主題:	Internet of things - Industrial applications.
主題:	Machine learning - Industrial applications.
主題:	Automation.
国際標準図書番号 (ISBN) :	9781799875178 (ebk.)
国際標準図書番号 (ISBN) :	9781799875116 (hbk.)
[NT 15000227] null:	Includes bibliographical references and index.
[NT 15000228] null:	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.
[NT 15000229] null:	"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"--
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7511-6

Examining the impact of deep learning and IoT on multi-industry applications[electronic resource] /
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:

738760
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[electronic resource] /
LDR:02498nmm a2200253 a 4500 001 524058
003 IGIG
005 20211027170653.0
006 m o d
007 cr cn
008 230513s2021 pau fob 001 0 eng d
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 738760
650 0 $a Machine learning $x Industrial applications. $3 690360
650 0 $a Automation. $3 369891
700 1 $a Raut, Roshani, $d 1981- $3 750498
700 1 $a Mihovska, Albena. $3 750499
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7511-6

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