このページのリンク

Emerging Research in Computing, Information, Communication and Applications : Proceedings of ERCICA 2022 / edited by N. R. Shetty, L. M. Patnaik, N. H. Prasad
(Lecture Notes in Electrical Engineering. ISSN:18761119 ; 928)

データ種別 電子ブック
1st ed. 2023.
出版者 (Singapore : Springer Nature Singapore : Imprint: Springer)
出版年 2023
大きさ XXIII, 1048 p. 659 illus., 494 illus. in color : online resource
著者標目 Shetty, N. R editor
Patnaik, L. M editor
Prasad, N. H editor
SpringerLink (Online service)

所蔵情報を非表示

URL
射水-電子 007 EB0001868 Computer Scinece R0 2005-6,2022-3

9789811954825

書誌詳細を非表示

一般注記 Teaching Learning-Based Optimization with Learning Enthusiasm Mechanism for Optimal Control of PV Inverters in Utility Grids for Techno-Economic Goals -- Machine Learning Framework for Prediction of Parkinson’s Disease in Cloud Environment -- A Comparative Analysis to Measure Scholastic Success of Students Using Data Science Methods -- Gesture-Controlled Speech Assist Device for the Verbally Disabled -- Highly Classified with Two Factor Authentication Encrypted Secured Mail -- Efficacious Intrusion Detection on Cloud Using Improved BES and HYBRID SKINET-EKNN
This book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate, and promote research and technology in the upcoming areas of computing, information, communication, and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike
HTTP:URL=https://doi.org/10.1007/978-981-19-5482-5
件 名 LCSH:Telecommunication
LCSH:Computational intelligence
LCSH:Computer networks 
FREE:Communications Engineering, Networks
FREE:Computational Intelligence
FREE:Computer Communication Networks
分 類 LCC:TK5101-5105.9
DC23:621.382
書誌ID EB00001256
ISBN 9789811954825

 類似資料