Sungwon Kim

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Machine Learning

Artificial Intelligence

Polycyclic Aromatic Hydrocarbons

Top Venues

Scientific reports

Environmental monitoring and assessment

Environmental science and pollution research international

This page only lists publications with an associated author ORCID identifier.

Publications

Bhupendra Joshi, Vijay Kumar Singh, Dinesh Kumar Vishwakarma, Mohammad Ali Ghorbani, Sungwon Kim, Shivam Gupta, V K Chandola, Jitendra Rajput, Il-Moon Chung, Krishna Kumar Yadav, Ehsan Mirzania, Nadhir Al-Ansari, Mohamed A Mattar
A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration. Scientific reports 14 (1) (2024)
Bhupendra Joshi, Vijay Kumar Singh, Dinesh Kumar Vishwakarma, Mohammad Ali Ghorbani, Sungwon Kim, Shivam Gupta, V K Chandola, Jitendra Rajput, Il-Moon Chung, Krishna Kumar Yadav, Ehsan Mirzania, Nadhir Al-Ansari, Mohamed A Mattar
A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration. Scientific reports 14 (1) (2024)
Bhupendra Joshi, Vijay Kumar Singh, Dinesh Kumar Vishwakarma, Mohammad Ali Ghorbani, Sungwon Kim, Shivam Gupta, V K Chandola, Jitendra Rajput, Il-Moon Chung, Krishna Kumar Yadav, Ehsan Mirzania, Nadhir Al-Ansari, Mohamed A Mattar
A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration. Scientific reports 14 (1) (2024)
Bhupendra Joshi, Vijay Kumar Singh, Dinesh Kumar Vishwakarma, Mohammad Ali Ghorbani, Sungwon Kim, Shivam Gupta, V K Chandola, Jitendra Rajput, Il-Moon Chung, Krishna Kumar Yadav, Ehsan Mirzania, Nadhir Al-Ansari, Mohamed A Mattar
A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration. Scientific reports 14 (1) (2024)
Meysam Alizamir, Kaywan Othman Ahmed, Sungwon Kim, Salim Heddam, AliReza Docheshmeh Gorgij, Sun Woo Chang
Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigms. PloS one 18 (12) (2023)
Meysam Alizamir, Kaywan Othman Ahmed, Sungwon Kim, Salim Heddam, AliReza Docheshmeh Gorgij, Sun Woo Chang
Development of a robust daily soil temperature estimation in semi-arid continental climate using meteorological predictors based on computational intelligent paradigms. PloS one 18 (12) (2023)
Salim Heddam, Mariusz Ptak, Mariusz Sojka, Sungwon Kim, Anurag Malik, Ozgur Kisi, Mohammad Zounemat-Kermani
Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling. Environmental science and pollution research international 29 (47) (2022)
Naser Shiri, Jalal Shiri, Zaher Mundher Yaseen, Sungwon Kim, Il-Moon Chung, Vahid Nourani, Mohammad Zounemat-Kermani
Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios. PloS one 16 (5) (2021)
Sungwon Kim, Niloofar Maleki, Mohammad Rezaie-Balf, Vijay P Singh, Meysam Alizamir, Nam Won Kim, Jong-Tak Lee, Ozgur Kisi
Assessment of the total organic carbon employing the different nature-inspired approaches in the Nakdong River, South Korea. Environmental monitoring and assessment 193 (7) (2021)
Youngmin Seo, Sungwon Kim, Vijay P Singh
Comparison of different heuristic and decomposition techniques for river stage modeling. Environmental monitoring and assessment 190 (7) (2018)