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Acidophiles enable pollution forensics in soil environments File File

Park, Suin , Nguyen, Minh Thi , Jeon, Junbeom , Bae, Hyokwan

Article Issue Date2024-08 View38

An ANN-assisted efficient enriched finite element method via the selective enrichment of moment fitting File

Lee, Semin , Kang, Taehun , Jung, Im Doo , Ji, Wooseok , Chung, Hayoung

Article Issue Date2024-02 View68

Application of artificial neural network for assembly homogenized equivalence parameter generation File

Dzianisau, Siarhei , Lee, Deokjung

Article Issue Date2024-08 View43

Artificial intelligence for the prediction of tensile properties by using microstructural parameters in high strength steels File

Jung, Im Doo , Shin, Da Seul , Kim, Doohee , Lee, Jungsub , Lee, Min Sik , Son, Hye Jin , Reddy, N.S. , Kim, Moobum , Moon, Seung Ki , Kim, Kyung Tae , et al

Article Issue Date2020-06 View44

Artificial neural networks for insights into adsorption capacity of industrial dyes using carbon-based materials File

Iftikhar, Sara , Zahra, Nallain , Rubab, Fazila , Sumra, Raazia Abrar , Khan, Muhammad Burhan , Abbas, Ather , Jaffari, Zeeshan Haider

Article Issue Date2023-12 View57

Deep Learning based Real-time Recognition of Dynamic Finger Gestures using a Data Glove File File

Lee, Minhyuk , Bae, Joonbum

Article Issue Date2020-11 View68

Development of an artificial neural network model for generating macroscopic cross-sections for RAST-AI File

Dzianisau, Siarhei , Saeju, Korawit , Lee, Hyun Chul , Lee, Deokjung

Article Issue Date2023-06 View56

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 View51

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 View51

Development of extreme gradient boosting model for prediction of punching shear resistance of R/C interior slabs File

Nguyen, Hoang D. , Gia Toai Truong , Shin, Myoungsu

Article Issue Date2021-05 View30

Framework for rapid characterization of fresh properties of cementitious materials using point cloud and machine learning File

Yoon, Jinyoung , Kim, Hyunjun , Ju, Suhwan , Li, Zhanzhao , Pyo, Sukhoon

Article Issue Date2023-10 View65

Ground motion amplification models for Japan using machine learning techniques File

Kim, Sunyul , Hwang, Youngdeok , Seo, Hwanwoo , Kim, Byungmin

Article Issue Date2020-05 View48

Heat transfer performance prediction for heat pipe using deep learning based on wick type File

Jin, Ik Jae , Park, Ye Yeong , Bang, In Cheol

Article Issue Date2024-03 View72

Hybrid CFD-neural networks technique to predict circulating fluidized bed reactor riser hydrodynamics File

Upadhyay, Mukesh , Nagulapati, Vijay Mohan , Lim, Hankwon

Article Issue Date2022-02 View42

Improved Tropical Cyclone Track Simulation over the Western North Pacific using the WRF Model and a Machine Learning Method File

Kim, Kyoungmin , Yoon, Donghyuck , Cha, Dong-Hyun , Im, Jungho

Article Issue Date2023-06 View79

Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control File

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

Article Issue Date2022-07 View31

Machine learning-based prediction for maximum displacement of seismic isolation systems File

Nguyen, Hoang D. , Dao, Nhan D. , Shin, Myoungsu

Article Issue Date2022-07 View40

Numerical tackling for MHD Darcy-Forchheimer flow of water-based CNTs in a rotating frame with homogeneous-heterogeneous reactions: An artificial neural network approach File

Senthilvadivu, K. , Eswaramoorthi, S. , Loganathan, K. , Thameem Basha, H.

Article Issue Date2024-07 View36

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 View50

Prediction of the R3 Test-Based Reactivity of Supplementary Cementitious Materials: A Machine Learning Approach Utilizing Physical and Chemical Properties File

Yoon, Jinyoung , Yonis, Aidarus , Park, Sungwoo , Rajabipour, Farshad , Pyo, Sukhoon

Article Issue Date2024-11 View37

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