Zobrazeno 1 - 10
of 158
pro vyhledávání: '"S. Sendhilkumar"'
Publikováno v:
Biblios, Iss 74 (2019)
Objective. The objective of this work is to find the best semantic path of research papers that matches the given research publication. This paper elaborates on the finding of continuous research progress analysis from semantic perspective. Methodol
Externí odkaz:
https://doaj.org/article/299999266b054c3bb3be8202dddf5a03
Autor:
V, Vasantha Kumar, S, Sendhilkumar
Publikováno v:
In Expert Systems With Applications February 2023 212
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-27
Multi-modal information outbreak is consistently increasing in social media. Classification of tweet sentiments using various information modalities will help the recommender systems to achieve success in digital marketing. Moreover, aspect-level sen
Publikováno v:
Scientific Programming. 2023:1-21
Human emotion recognition from videos involves accurately interpreting facial features, including face alignment, occlusion, and shape illumination problems. Dynamic emotion recognition is more important. The situation becomes more challenging with m
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 236:1807-1818
This article illustrates the importance of exploratory data analysis as the key step in the data validation process and also for further model development. Descriptive statistics is performed by applying the exploratory data analysis approach to a da
Autor:
T V Geetha, S Sendhilkumar
Publikováno v:
Machine Learning ISBN: 9781003290100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d03b6e0d682752f63ac02a90f2a69a4
https://doi.org/10.1201/9781003290100-9
https://doi.org/10.1201/9781003290100-9
Autor:
T V Geetha, S Sendhilkumar
Publikováno v:
Machine Learning ISBN: 9781003290100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b53954bfbf0d3ac88cb5881ef854f7b1
https://doi.org/10.1201/9781003290100-6
https://doi.org/10.1201/9781003290100-6
Autor:
T V Geetha, S Sendhilkumar
Publikováno v:
Machine Learning ISBN: 9781003290100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::161d86ec900e49c78e994d132c5fa8d5
https://doi.org/10.1201/9781003290100-3
https://doi.org/10.1201/9781003290100-3
Autor:
T V Geetha, S Sendhilkumar
Publikováno v:
Machine Learning ISBN: 9781003290100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd554fdcfbeee03261b7d90f62b90eea
https://doi.org/10.1201/9781003290100-13
https://doi.org/10.1201/9781003290100-13
Autor:
T V Geetha, S Sendhilkumar
Publikováno v:
Machine Learning ISBN: 9781003290100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77f5cf2e363d26b0ecb378b79b6f9dde
https://doi.org/10.1201/9781003290100-7
https://doi.org/10.1201/9781003290100-7