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A novel combined multi-battery dataset based approach for enhanced prediction accuracy of data driven prognostic models in capacity estimation of lithium ion batteries File

Nagulapati, Vijay Mohan , Lee, Hyunjun , Jung, DaWoon , Paramanantham, SalaiSargunan S , Brigljevic, Boris , Choi, YunSeok , Lim, Hankwon

Article Issue Date2021-09 View21
Development of early-warning protocol for predicting chlorophyll-a concentration using machine learning models in freshwater and estuarine reservoirs, Korea File

Park, Yongeun , Cho, Kyung Hwa , Park, Jihwan , Cha, Sung Min , Kim, Joon Ha

Article Issue Date2015-01 View20
Development of enhanced groundwater arsenic prediction model using machine learning approaches in Southeast Asian countries File

Park, Yongeun , Ligaray, Mayzonee , Kim, Young Mo , Kim, Joon Ha , Cho, Kyung Hwa , Sthiannopkao, Suthipong

Article Issue Date2016-06 View21
Efficient differentially private kernel support vector classifier for multi-class classification File

Park, Jinseong , Choi, Yujin , Byun, Junyoung , Lee, Jaewook , Park, Saerom

Article Issue Date2023-01 View26
iKernel: Exact indexing for support vector machines File

Kim, Youngdae , Ko, Ilhwan , Han, Wook-Shin , Yu, Hwanjo

Article Issue Date2014-02 View12
Machine learning based fault detection and state of health estimation of proton exchange membrane fuel cells File File

Nagulapati, Vijay Mohan , Kumar, S. Shiva , Annadurai, Vimalesh , Lim, Hankwon

Article Issue Date2023-04 View18
Prediction of effluent concentration in a wastewater treatment plant using machine learning models File

Guo, Hong , Jeong, Kwanho , Lim, Jiyeon , Jo, Jeongwon , Kim, Young Mo , Park, Jong-Pyo , Kim, Joon Ha , Cho, Kyung Hwa

Article Issue Date2015-06 View15
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