東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Data driven approach towards disrupt...

International Conference on Machine Intelligence and Data Science Applications ((2020 :)

FindBook

Google Book

Amazon

博客來

Data driven approach towards disruptive technologies = proceedings of MIDAS 2020 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data driven approach towards disruptive technologies/ edited by T. P. Singh ... [et al.].
其他題名:	proceedings of MIDAS 2020 /
其他題名:	MIDAS 2020
其他作者:	Singh, T. P.
團體作者:	International Conference on Machine Intelligence and Data Science Applications
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xi, 597 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Design and Fabrication of Hybrid Land-Air Vehicle -- Chapter 2. Pixel Value Differencing of Image Steganography in Substitution Technique : A Survey -- Chapter 3. Newspaper Text Recognition Printed in Gurumukhi Script: SVM vs. MLP -- Chapter 4. Bound Constructive Fraud and Implementing Dual Accessibility Approach on Biometric Credit/Debit Cards -- Chapter 5. Automatic dimension detection of fish images -- Chapter 6. Privacy-Preserving of Cloud Storage Security -- Chapter 7. Mitigating Security Challenges in Smart Home Management Through Smart Lock -- Chapter 7. Quality efficiency of VoIP application using Hybrid Co-ordination Function -- Chapter 8. A Review of Algorithms for Secure Data Transmission in IoT Devices -- Chapter 9. The new phase of manufacturing: industry 4.0 -- Chapter 10. Summarization and Analysis of text using Network Theory.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-15-9873-9
ISBN:	9789811598739

Data driven approach towards disruptive technologies = proceedings of MIDAS 2020 /
Data driven approach towards disruptive technologiesproceedings of MIDAS 2020 /[electronic resource] :MIDAS 2020edited by T. P. Singh ... [et al.]. - Singapore :Springer Singapore :2021. - xi, 597 p. :ill., digital ;24 cm. - Studies in autonomic, data-driven and industrial computing,2730-6437. - Studies in autonomic, data-driven and industrial computing..

Chapter 1. Design and Fabrication of Hybrid Land-Air Vehicle -- Chapter 2. Pixel Value Differencing of Image Steganography in Substitution Technique : A Survey -- Chapter 3. Newspaper Text Recognition Printed in Gurumukhi Script: SVM vs. MLP -- Chapter 4. Bound Constructive Fraud and Implementing Dual Accessibility Approach on Biometric Credit/Debit Cards -- Chapter 5. Automatic dimension detection of fish images -- Chapter 6. Privacy-Preserving of Cloud Storage Security -- Chapter 7. Mitigating Security Challenges in Smart Home Management Through Smart Lock -- Chapter 7. Quality efficiency of VoIP application using Hybrid Co-ordination Function -- Chapter 8. A Review of Algorithms for Secure Data Transmission in IoT Devices -- Chapter 9. The new phase of manufacturing: industry 4.0 -- Chapter 10. Summarization and Analysis of text using Network Theory.

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4-5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

ISBN: 9789811598739

Standard No.: 10.1007/978-981-15-9873-9doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Data driven approach towards disruptive technologies = proceedings of MIDAS 2020 /
LDR:02935nmm a2200349 a 4500 001 2239980
003 DE-He213
005 20210729134732.0
006 m d
007 cr nn 008maaau
008 211111s2021 si s 0 eng d
020 $a 9789811598739 $q (electronic bk.)
020 $a 9789811598722 $q (paper)
024 7 $a 10.1007/978-981-15-9873-9 $2 doi
035 $a 978-981-15-9873-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q334 $b .I61 2020
111 2 $a International Conference on Machine Intelligence and Data Science Applications $d (2020 : $c Dehra Dun, India) $3 3494522
245 1 0 $a Data driven approach towards disruptive technologies $h [electronic resource] : $b proceedings of MIDAS 2020 / $c edited by T. P. Singh ... [et al.].
246 3 $a MIDAS 2020
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xi, 597 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in autonomic, data-driven and industrial computing, $x 2730-6437
505 0 $a Chapter 1. Design and Fabrication of Hybrid Land-Air Vehicle -- Chapter 2. Pixel Value Differencing of Image Steganography in Substitution Technique : A Survey -- Chapter 3. Newspaper Text Recognition Printed in Gurumukhi Script: SVM vs. MLP -- Chapter 4. Bound Constructive Fraud and Implementing Dual Accessibility Approach on Biometric Credit/Debit Cards -- Chapter 5. Automatic dimension detection of fish images -- Chapter 6. Privacy-Preserving of Cloud Storage Security -- Chapter 7. Mitigating Security Challenges in Smart Home Management Through Smart Lock -- Chapter 7. Quality efficiency of VoIP application using Hybrid Co-ordination Function -- Chapter 8. A Review of Algorithms for Secure Data Transmission in IoT Devices -- Chapter 9. The new phase of manufacturing: industry 4.0 -- Chapter 10. Summarization and Analysis of text using Network Theory.
520 $a This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4-5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 0 $a Artificial intelligence $x Mathematics $v Congresses. $3 3338293
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Systems and Data Security. $3 898223
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Singh, T. P. $3 3295738
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in autonomic, data-driven and industrial computing. $3 3494523
856 4 0 $u https://doi.org/10.1007/978-981-15-9873-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)