Zobrazeno 1 - 10
of 58
pro vyhledávání: '"L. D. Dhinesh Babu"'
Autor:
E. Sreehari, L. D. Dhinesh Babu
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
Diabetes mellitus is a metabolic disorder that significantly implicates serious consequences in various parts of the human body, such as the Eye, Heart, kidney, Nerves, Foot, etc. The identification of consistent features significantly helps us to as
Externí odkaz:
https://doaj.org/article/e348b358f3e448a88b34810b724dcba9
Autor:
E. Sreehari, L. D. Dhinesh Babu
Publikováno v:
IEEE Access, Vol 12, Pp 188845-188873 (2024)
The widespread accessibility of data collection tools and social media practices has facilitated an exponential proliferation of data in several multidisciplinary fields. Data from numerous sources can help industries make informed judgments and adva
Externí odkaz:
https://doaj.org/article/61390aa4460f48cfb982d97f73542e50
Publikováno v:
Proceedings of Emerging Trends and Technologies on Intelligent Systems ISBN: 9789811941818
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83e48b5cf2c0bd8733a54fb045225902
https://doi.org/10.1007/978-981-19-4182-5_18
https://doi.org/10.1007/978-981-19-4182-5_18
Autor:
J P, Nivash1 (AUTHOR) jeevprabnivash@gmail.com, L D, Dhinesh Babu1 (AUTHOR) lddhineshbabu@gmail.com
Publikováno v:
International Journal of Communication Systems. Sep2020, Vol. 33 Issue 13, p1-13. 13p.
Autor:
L. D. Dhinesh Babu, J. Sharon Moses
Publikováno v:
International Journal of Intelligent Information Technologies. 17:30-49
The advancement of web services paved the way to the accumulation of a tremendous amount of information into the world wide web. The huge pile of information makes it hard for the user to get the required information at the right time. Therefore, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26db8902a7c8d6a08882c6eec7b6c14f
https://doi.org/10.4018/ijiit.2021070103
https://doi.org/10.4018/ijiit.2021070103
Autor:
L. D. Dhinesh Babu, C. S. Pavan Kumar
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:11749-11761
Sentiment analysis is widely used to retrieve the hidden sentiments in medical discussions over Online Social Networking platforms such as Twitter, Facebook, Instagram. People often tend to convey their feelings concerning their medical problems over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eea529503e6cc5bca71b5f530e17428
https://doi.org/10.3233/jifs-202874
https://doi.org/10.3233/jifs-202874
Publikováno v:
Journal of Organizational and End User Computing. 33:47-70
Online social networks (OSNs) are used to connect people and propagate information around the globe. Along with information propagation, rumors also penetrate across the OSNs in a massive order. Controlling the rumor propagation is utmost important t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14bf820a6775097346d324546e45bdc1
https://doi.org/10.4018/joeuc.2021010103
https://doi.org/10.4018/joeuc.2021010103
Autor:
L. D. Dhinesh Babu, J. Sharon Moses
Publikováno v:
International Journal of Swarm Intelligence Research. 11:62-79
Most recommender systems are based on the familiar collaborative filtering algorithm to suggest items. Quite often, collaborative filtering algorithm fails in generating recommendations due to the lack of adequate user information resulting in new us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::accf2dc352832b5083a50de7c892fab9
https://doi.org/10.4018/ijsir.2020040104
https://doi.org/10.4018/ijsir.2020040104
Publikováno v:
International Journal of Web Services Research. 17:64-82
Along with true information, rumors spread in online social networks (OSN) on an unprecedented scale. In recent days, rumor identification gains more interest among the researchers. Finding rumors also poses other critical challenges like noisy and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52a7dbf041c6ab90914ccdcdd9fab580
https://doi.org/10.4018/ijwsr.2020010104
https://doi.org/10.4018/ijwsr.2020010104
Autor:
L. D. Dhinesh Babu, Gayathri Nagarajan
Publikováno v:
Network Modeling and Analysis in Health Informatics and Bioinformatics
Feature selection has gained its importance due to the voluminous nature of the data. Owing to the computational complexity of wrapper approaches, the poor performance of filtering techniques, and the classifier dependency of embedded approaches, hyb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c7a8db98f67984e6e0018de2c2f528e
https://doi.org/10.1007/s13721-021-00313-7
https://doi.org/10.1007/s13721-021-00313-7