國立高雄大學圖資館 |

登入

回首頁

Convergence of deep learning and internet of things :computing and technology

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Convergence of deep learning and internet of things :[edited by] T. Kavitha, G. Senbagavalli, Deepika Koundal, Yanhui Guo, Deepak Jain.
其他題名:	computing and technology
其他作者:	Kavitha, T.,
出版者:	Hershey, Pennsylvania :IGI Global,2023.
面頁冊數:	1 online resource (349 p.) :ill. (chiefly col.)
標題:	Internet of things.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6275-1
ISBN:	9781668462775 (electronic bk.)

Convergence of deep learning and internet of things :computing and technology
Convergence of deep learning and internet of things :computing and technology[electronic resource] /[edited by] T. Kavitha, G. Senbagavalli, Deepika Koundal, Yanhui Guo, Deepak Jain. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (349 p.) :ill. (chiefly col.) - Advances in computational intelligence and robotics (ACIR) book series. - Advances in computational intelligence and robotics (ACIR) book series..

Includes bibliographical references and index.

Chapter 1. Intelligent devices, device management, and device security for cloud platforms -- Chapter 2. Intelligent broker design for IoT using a multi-cloud environment -- Chapter 3. Deep learning-based intelligent sensing in IoT -- Chapter 4. Deep learning-enabled edge computing and IoT -- Chapter 5. Distributed deep learning for IoT -- Chapter 6. Approaches for detecting and predicting attacks based on deep and reinforcement learning to improve information security -- Chapter 7. Enhancing quality of service in internet of things: deep learning approach and its challenges -- Chapter 8. Edge computing in intelligent IoT -- Chapter 9. Edge AI-based crowd counting application for public transport stops -- Chapter 10. Patient behavioral analysis with smart healthcare and IoT -- Chapter 11. Deep learning neural networks for online monitoring of the combustion process from flame colour in thermal power plants -- Chapter 12. Analysis of political and ideological systems in education with lightweight deep learning -- Chapter 13. Comparative analysis of feature selection methods for detection of Android malware -- Chapter 14. Applications of internet of things with deep learning.

"For those interested in design and building intelligent Internet of Things, this research book offers solutions with the state-of-the-art and novel approaches for the IoT problems and challenges from a deep learning perspective"--

ISBN: 9781668462775 (electronic bk.)Subjects--Topical Terms:

670954
Internet of things.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TK5105.8857 / .C67 2023eb

Dewey Class. No.: 004.67/8

Convergence of deep learning and internet of things :computing and technology
LDR:02525nmm a2200277 a 4500 001 644242
006 m d
007 cr nn muauu
008 231206s2023 paua fob 001 0 eng d
020 $a 9781668462775 (electronic bk.)
020 $a 1668462753
020 $a 9781668462751
035 $a (CaBNVSL)slc00003942
035 $a (OCoLC)1358888412
035 $a 00300769
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a TK5105.8857 $b .C67 2023eb
082 0 4 $a 004.67/8 $2 23
245 0 0 $a Convergence of deep learning and internet of things : $b computing and technology $h [electronic resource] / $c [edited by] T. Kavitha, G. Senbagavalli, Deepika Koundal, Yanhui Guo, Deepak Jain.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2023.
300 $a 1 online resource (349 p.) : $b ill. (chiefly col.)
490 1 $a Advances in computational intelligence and robotics (ACIR) book series
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Intelligent devices, device management, and device security for cloud platforms -- Chapter 2. Intelligent broker design for IoT using a multi-cloud environment -- Chapter 3. Deep learning-based intelligent sensing in IoT -- Chapter 4. Deep learning-enabled edge computing and IoT -- Chapter 5. Distributed deep learning for IoT -- Chapter 6. Approaches for detecting and predicting attacks based on deep and reinforcement learning to improve information security -- Chapter 7. Enhancing quality of service in internet of things: deep learning approach and its challenges -- Chapter 8. Edge computing in intelligent IoT -- Chapter 9. Edge AI-based crowd counting application for public transport stops -- Chapter 10. Patient behavioral analysis with smart healthcare and IoT -- Chapter 11. Deep learning neural networks for online monitoring of the combustion process from flame colour in thermal power plants -- Chapter 12. Analysis of political and ideological systems in education with lightweight deep learning -- Chapter 13. Comparative analysis of feature selection methods for detection of Android malware -- Chapter 14. Applications of internet of things with deep learning.
520 3 $a "For those interested in design and building intelligent Internet of Things, this research book offers solutions with the state-of-the-art and novel approaches for the IoT problems and challenges from a deep learning perspective"-- $c Provided by publisher.
650 0 $a Internet of things. $3 670954
650 0 $a Deep learning (Machine learning) $3 913129
650 0 $a Convergence (Telecommunication) $3 226625
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Kavitha, T., $d 1979-. $3 952652
700 1 $a Senbagavalli, G. $3 952653
700 1 $a Koundal, Deepika. $3 944134
700 1 $a Guo, Yanhui. $3 952654
700 1 $a Jain, Deepak. $3 952655
710 2 $a IGI Global. $3 529832
830 0 $a Advances in computational intelligence and robotics (ACIR) book series. $3 808093
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6275-1