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Intelligent Data Engineering and Analytics = Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent Data Engineering and Analytics/ edited by Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi.
其他題名:	Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 /
其他作者:	Majhi, Ritanjali.
面頁冊數:	XXIII, 758 p. 378 illus., 237 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Big Data. -
電子資源:	https://doi.org/10.1007/978-981-15-5679-1
ISBN:	9789811556791

Intelligent Data Engineering and Analytics = Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 /
Intelligent Data Engineering and AnalyticsFrontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 /[electronic resource] :edited by Suresh Chandra Satapathy, Yu-Dong Zhang, Vikrant Bhateja, Ritanjali Majhi. - 1st ed. 2021. - XXIII, 758 p. 378 illus., 237 illus. in color.online resource. - Advances in Intelligent Systems and Computing,11772194-5365 ;. - Advances in Intelligent Systems and Computing,335.

Classification of dry/wet snow using Sentinel-2 high spatial resolution optical data -- Potential of Robust Face Recognition from real-time CCTV video stream for Biometric Attendance using Convolutional Neural Network -- ATM Theft Investigation using Convolutional Neural Network -- "Classification and Prediction of Rice Crop Diseases using CNN & PNN" -- SAGRU : A Stacked Autoencoder based Gated Recurrent Unit Approach to Intrusion Detection -- COMPARISON OF KNN AND SVM ALGORITHMS TO DETECT CLINICAL MASTITIS IN COWS USING INTERNET OF ANIMAL HEALTH THINGS -- Two-way face scrutinizing system for elimination of proxy attendances using deep learning -- Ontology driven Sentiment Analysis in Indian Healthcare Sector -- Segmentation of Nuclei in Microscopy Images across Varied Experimental Systems -- Transitional and parallel approach of PSO and SGO for solving optimization problems.

This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines. .

ISBN: 9789811556791

Standard No.: 10.1007/978-981-15-5679-1doiSubjects--Topical Terms:

1017136
Big Data.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Intelligent Data Engineering and Analytics = Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2 /
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