Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Ferani E. Zulvia"'
Publikováno v:
Energies, Vol 15, Iss 3, p 1035 (2022)
A building, a central location of human activities, is equipped with many devices that consume a lot of electricity. Therefore, predicting the energy consumption of a building is essential because it helps the building management to make better energ
Externí odkaz:
https://doaj.org/article/d6d38979f3054923ba168ffa1516c1d8
Publikováno v:
Expert Systems with Applications. 221:119777
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5a1bf0c51be2d68661d6b52995579b3
https://doi.org/10.1016/j.eswa.2023.119777
https://doi.org/10.1016/j.eswa.2023.119777
Publikováno v:
Applied Soft Computing. :110417
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dfefdc8090d5cce300d695ef86c0863
https://doi.org/10.1016/j.asoc.2023.110417
https://doi.org/10.1016/j.asoc.2023.110417
Publikováno v:
Sustainability; Volume 15; Issue 9; Pages: 7410
Public utility bus (PUB) systems and passenger behaviors drastically changed during the COVID-19 pandemic. This study assessed the clustered behavior of 505 PUB passengers using feature selection, K-means clustering, and particle swarm optimization (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a85fde57936abdcd8b2f952ccb3dc1b5
https://doi.org/10.3390/su15097410
https://doi.org/10.3390/su15097410
Autor:
Ren-Jieh Kuo, Ferani E. Zulvia
Publikováno v:
Soft Computing. 24:11545-11559
Data analysis becomes more important since rapid technology developments. In data analysis, data clustering is one of the very useful approaches. It can reveal important information hiding inside the dataset by organizing the instances based on their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45ae83e90b330c5fd14878edf41f4b38
https://doi.org/10.1007/s00500-019-04620-0
https://doi.org/10.1007/s00500-019-04620-0
Publikováno v:
Computers & Industrial Engineering. 135:254-264
Reducing negative risk and the associated contingency cost in a project becomes a challenging task for managers. Inadequate and excessive contingency can lead to budget overrun and bidding loss, respectively. In the other hand, lowering the contingen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0451930c453387a765b345a43142b7f5
https://doi.org/10.1016/j.cie.2019.05.022
https://doi.org/10.1016/j.cie.2019.05.022
Publikováno v:
Computers & Industrial Engineering. 125:319-332
Analyzing imbalanced dataset is a critical and challenging task in data mining, since it requires special treatment for clusters with different sizes. Imbalance dataset commonly exists in some domains like medical problems. This study intends to prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8701ac8f777804bcf3ceb5e89840b9a2
https://doi.org/10.1016/j.cie.2018.08.031
https://doi.org/10.1016/j.cie.2018.08.031
Autor:
Ferani E. Zulvia, Ren-Jieh Kuo
Publikováno v:
Soft Computing. 23:8957-8973
This study proposes an improved differential evolution (DE) algorithm to solve an automatic clustering problem. Automatic clustering is a clustering technique in data mining which can automatically define the best number of clusters, as well as const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db6d944c24cd434e7ac227223dc2826b
https://doi.org/10.1007/s00500-018-3496-z
https://doi.org/10.1007/s00500-018-3496-z
Publikováno v:
Computers & Industrial Engineering. 120:298-307
Many companies find difficulty in choosing right suppliers. Organizing suppliers based on their characteristics might help the company solve this problem. This study proposes an approach for supplier selection by organizing suppliers using a clusteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d349119560ad8ef00f7c67e4e44760f
https://doi.org/10.1016/j.cie.2018.04.050
https://doi.org/10.1016/j.cie.2018.04.050
Integration of growing self-organizing map and bee colony optimization algorithm for part clustering
Publikováno v:
Computers & Industrial Engineering. 120:251-265
This study proposes a two-stage clustering algorithm for part clustering based on a self-organizing map (SOM) algorithm. The SOM algorithm has been applied widely in clustering since it can represent data pattern in two-dimensional topology. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef17780918d5037a189d0abc9264a843
https://doi.org/10.1016/j.cie.2018.04.044
https://doi.org/10.1016/j.cie.2018.04.044