Ather Abbas

发表

Surface and sub-surface flow estimation at high temporal resolution using deep neural networks

O. Ribolzi, N. Silvera, K. Cho, 2020 .

Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay

Xuesong Zhang, G. McCarty, Sangchul Lee, 2022, Journal of Hydrology.

Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green.

K. Chon, Ather Abbas, Sanghun Park, 2022, Journal of hazardous materials.

Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models.

K. Cho, Kwanho Jeong, Ather Abbas, 2021, Water research.

Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning

K. Cho, Sang-Soo Baek, J. Pyo, 2022, Environmental Engineering Research.

Supplementary material to "In-stream Escherichia Coli Modeling Using high-temporal-resolution data with deep learning and process-based models"

Y. Pachepsky, O. Ribolzi, N. Silvera, 2021, Hydrology and Earth System Sciences.

Developing a deep learning model for the simulation of micro-pollutants in a watershed

K. Cho, Mayzonee Ligaray, Sang-Soo Baek, 2021, Journal of Cleaner Production.

Machine Learning Assisted High-Throughput Screening of Transition Metal Single Atoms Based Superb Hydrogen Evolution Electrocatalysts

Geunsik Lee, M. Zafari, Ather Abbas, 2022, Journal of Materials Chemistry A.

Prediction of antibiotic-resistance genes occurrence at a recreational beach with deep learning models.

K. Cho, Minjeong Kim, Ather Abbas, 2021, Water research.

AI4Water v1.0: An open source python package for modeling hydrological time series using data-driven methods

Y. Pachepsky, K. Cho, Kyunghyun Kim, 2021, Geoscientific Model Development.

An open-source deep learning model for predicting effluent concentration in capacitive deionization.

Ather Abbas, Sanghun Park, Nakyung Yoon, 2022, The Science of the total environment.

Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant

Jae-Lim Lim, Kyung Hwa Cho, Kwanho Jeong, 2021 .

AI4Water v1.0: An open source python package for modeling hydrological time series using data-driven methods

Jong Ahn Chun, Kyung Hwa Cho, Yakov Pachepsky, 2021 .

In-stream Escherichia Coli Modeling Using high-

Y. Pachepsky, O. Ribolzi, N. Silvera, 2021 .

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

Ather Abbas, Sara Iftikhar, Zeeshan Haider Jaffari, 2023, Separation and Purification Technology.

Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents.

Ather Abbas, Yong-Gu Lee, Sangwon Kim, 2023, Journal of hazardous materials.

Developing a data-driven modeling framework for simulating a chemical accident in freshwater

Sang-Soo Baek, Ather Abbas, Soobin Kim, 2023, Journal of Cleaner Production.

Simulation models of microbial community, pH, and volatile fatty acids of anaerobic digestion developed by machine learning

Ather Abbas, Juhee Shin, Sung Il Yu, 2024, Journal of Water Process Engineering.