Machine Learning Application in Battery Prediction: A Systematic Literature Review and Bibliometric Study

Autor: Kamul Azure, Hananda Nico, Harito Christian, Djuana Endang, Elwirehardja Gregorius Natanael, Pardamean Bens, Gunawan Fergyanto E., Budiman Arief S., Asrol Muhammad, Redi A. A. N. Perwira, Pasang Tim

Publikováno v: E3S Web of Conferences, Vol 388, p 01021 (2023)

Recently, the popularity of li-ion batteries has attracted many researchers to carry out the battery’s maximum potential. Predicting batteries condition and behavior is part of the process that is considered challenging. ML algorithm is widely appl

Externí odkaz: https://doaj.org/article/2a23286b39794deb9dcdd51815f7c4c4

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Constructing tag ontology from folksonomy based on WordNet

Autor: Djuana, Endang, Xu, Yue, Li, Yuefeng

Publikováno v: Proceedings of the IADIS International Conference on Internet Technologies and Society 2011

With the emergence of Web 2.0, Web users can classify Web items of their interest by using tags. Tags reflect users’ understanding to the items collected in each tag. Exploring user tagging behavior provides a promising way to understand users’ i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=issn23813652::abb21a302af1bfb09e5a6c586e125d6e
https://igi.indrastra.com/items/show/29328

Ontology Learning from User Tagging for Tag Recommendation Making.

Autor: Djuana, Endang, Xu, Yue, Li, Yuefeng, Josang, Audun

Publikováno v: Proceedings of the 2011 IEEE Wic ACM International Conferences on Web Intelligence & Intelligent Agent Technology; 8/22/2011, Vol. 02, p310-313, 4p