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Showing results 2 to 8 of 8

Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks File File

Cho, Hyunghun , Kim, Yongjin , Lee, Eunjung , Choi, Daeyoung , Lee, Yongjae , Rhee, Wonjong

Article Issue Date2020-03 View6
Convergence analysis of the deep neural networks based globalized dual heuristic programming File

Kim, Jong Woo , Oh, Tae Hoon , Son, Sang Hwan , Jeong, Dong Hwi , Lee, Jong Min

Article Issue Date2020-12 View9
Cost-effective stochastic MAC circuits for deep neural networks File

Sim, Hyeonuk , Lee, Jongeun

Article Issue Date2019-09 View3
Deep learning-based retrieval of cyanobacteria pigment in inland water for in-situ and airborne hyperspectral data File

Yim, Inhyeok , Shin, Jihoon , Lee, Hyuk , Park, Sanghyun , Nam, Gibeom , Kang, Taegu , Cho, Kyung Hwa , Cha, YoonKyung

Article Issue Date2020-03 View12
Deep neural networks for modeling fouling growth and flux decline during NF/RO membrane filtration File

Park, Sanghun , Baek, Sang-Soo , Pyo, JongCheol , Pachepsky, Yakov , Park, Jongkwan , Cho, Kyung Hwa

Article Issue Date2019-10 View14
Efficient architecture for deep neural networks with heterogeneous sensitivity File

Cho, Hyunjoong , Jang, Jinhyeok , Lee, Chanhyeok , Yang, Seungjoon

Article Issue Date2021-02 View4
High strength aluminum alloys design via explainable artificial intelligence File

Park, Seobin , Kayani, Saif Haider , Euh, Kwangjun , Seo, Eunhyeok , Kim, Hayeol , Park, Sangeun , Yadav, Bishnu Nand , Park, Seong Jin , Sung, Hyokyung , Jung, Im Doo

Article Issue Date2022-05 View17
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