Ather Abbas
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Machine learning assisted high-throughput screening of transition metal single atom based superb hydrogen evolution electrocatalysts
M Umer, S Umer, M Zafari, M Ha, R Anand, A Hajibabaei, A Abbas, G Lee, ...
Journal of Materials Chemistry A 10 (12), 6679-6689, 2022
Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green
ZH Jaffari, A Abbas, SM Lam, S Park, K Chon, ES Kim, KH Cho
Journal of Hazardous Materials 442, 130031, 2023
Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models
K Jeong, A Abbas, J Shin, M Son, YM Kim, KH Cho
Water Research 205, 117697, 2021
Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant
N Yoon, J Kim, JL Lim, A Abbas, K Jeong, KH Cho
Desalination 512, 115107, 2021
Deep learning for pH prediction in water desalination using membrane capacitive deionization
M Son, N Yoon, K Jeong, A Abass, BE Logan, KH Cho
Desalination 516, 115233, 2021
Prediction of antibiotic-resistance genes occurrence at a recreational beach with deep learning models
J Jang, A Abbas, M Kim, J Shin, YM Kim, KH Cho
Water Research 196, 117001, 2021
AI4Water v1. 0: An open source python package for modeling hydrological time series using data-driven methods
A Abbas, L Boithias, Y Pachepsky, K Kim, JA Chun, KH Cho
Geoscientific Model Development Discussions 2021, 1-29, 2021
Developing a deep learning model for the simulation of micro-pollutants in a watershed
D Yun, A Abbas, J Jeon, M Ligaray, SS Baek, KH Cho
Journal of Cleaner Production 300, 126858, 2021
Surface and sub-surface flow estimation at high temporal resolution using deep neural networks
A Abbas, S Baek, M Kim, M Ligaray, O Ribolzi, N Silvera, JH Min, ...
Journal of Hydrology 590, 125370, 2020
In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models
A Abbas, S Baek, N Silvera, B Soulileuth, Y Pachepsky, O Ribolzi, ...
Hydrology and Earth System Sciences 25 (12), 6185-6202, 2021
An open-source deep learning model for predicting effluent concentration in capacitive deionization
M Son, N Yoon, S Park, A Abbas, KH Cho
Science of The Total Environment 856, 159158, 2023
Crystal graph convolution neural networks for fast and accurate prediction of adsorption ability of Nb 2 CT x towards Pb (ii) and Cd (ii) ions
ZH Jaffari, A Abbas, M Umer, ES Kim, KH Cho
Journal of Materials Chemistry A 11 (16), 9009-9018, 2023
Artificial neural networks for insights into adsorption capacity of industrial dyes using carbon-based materials
S Iftikhar, N Zahra, F Rubab, RA Sumra, MB Khan, A Abbas, ZH Jaffari
Separation and Purification Technology 326, 124891, 2023
Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents
ZH Jaffari, A Abbas, CM Kim, J Shin, J Kwak, C Son, YG Lee, S Kim, ...
Journal of Hazardous Materials 462, 132773, 2024
Machine learning analysis to interpret the effect of the photocatalytic reaction rate constant (k) of semiconductor-based photocatalysts on dye removal
CM Kim, ZH Jaffari, A Abbas, MF Chowdhury, KH Cho
Journal of Hazardous Materials 465, 132995, 2024
Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning
DH Kwon, SM Hong, A Abbas, JC Pyo, HK Lee, SS Baek, KH Cho
Environmental Engineering Research 28 (1), 2023
Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams
A Abbas, M Park, SS Baek, KH Cho
Journal of Hydrology 626, 130240, 2023
Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system
SM Hong, A Abbas, S Kim, DH Kwon, N Yoon, D Yun, S Lee, ...
Environmental Modelling & Software 168, 105805, 2023
Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay
J Lee, A Abbas, GW McCarty, X Zhang, S Lee, KH Cho
Journal of Hydrology 617, 128916, 2023
Digital imaging-in-flow (FlowCAM) and probabilistic machine learning to assess the sonolytic disinfection of cyanobacteria in sewage wastewater
ZH Jaffari, S Na, A Abbas, KY Park, KH Cho
Journal of Hazardous Materials 468, 133762, 2024
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Articles 1–20