Ather Abbas

king abdullah university of science and technology

H指数:21

被引数:1,244

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Comprehensive Global Assessment of 24 Gridded Precipitation Datasets Across 18 428 Catchments Using Hydrological Modeling

利用水文模型对18 428个流域中的24个网格化降水数据集进行全球综合评估

Hydrology and Earth System Sciences

IF5.8

2026-06-030

Assessment and future projections of groundwater depletion and seawater intrusion in the coastal aquifers of Karachi

卡拉奇海岸含水层中地下水枯竭和海水入侵的评估与未来预测

Journal of Hydrology: Regional Studies

IF0

2025-11-180

OAAI

Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning

由嵌入物理的学习揭示的全球不同水文响应模式与趋势

Nature Communications

IF15.7

2025-10-150

OAAI

Probabilistic machine learning-based phytoplankton abundance using hyperspectral remote sensing

基于概率机器学习的利用高光谱遥感浮游植物丰度

GISCIENCE & REMOTE SENSING

IF6.9

2025-04-110

Spatial prediction of groundwater salinity in multiple aquifers of the Mekong Delta region using explainable machine learning models

WATER RESEARCH

IF12.4

2024-11-010

PRE

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

JOURNAL OF WATER PROCESS ENGINEERING

IF6.7

2024-04-018

PRE

Adsorption of Cr(VI) ions onto fluorine-free niobium carbide (MXene) and machine learning prediction with high precision

Cr(VI) 离子在无氟碳化铌 (MXene) 上的吸附及高精度机器学习预测

JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING

IF7.2

2024-04-018

PRE

Digital imaging-in-flow (FlowCAM) and probabilistic machine learning to assess the sonolytic disinfection of cyanobacteria in sewage wastewater

JOURNAL OF HAZARDOUS MATERIALS

IF11.3

2024-04-0111

PRE

Machine learning analysis to interpret the effect of the photocatalytic reaction rate constant (k) of semiconductor-based photocatalysts on dye removal

JOURNAL OF HAZARDOUS MATERIALS

IF11.3

2024-03-0117

PRE

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

JOURNAL OF HAZARDOUS MATERIALS

IF11.3

2024-01-0124

PRE

Prediction and interpretation of pathogenic bacteria occurrence at a recreational beach using data-driven algorithms

ECOLOGICAL INFORMATICS

IF7.3

2023-12-016

PRE

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

使用碳基材料洞察工业染料吸附能力的人工神经网络

SEPARATION AND PURIFICATION TECHNOLOGY

IF9

2023-12-0118

PRE

Long short-term memory models of water quality in inland water environments

water research

IF8.2

2023-12-0114

Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams

JOURNAL OF HYDROLOGY

IF6.3

2023-11-0119

OAAI

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

JOURNAL OF CLEANER PRODUCTION

IF10

2023-11-013

PRE

Deep learning-based super-resolution for harmful algal bloom monitoring of inland water

GISCIENCE & REMOTE SENSING

IF6.9

2023-09-019

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

JOURNAL OF HYDROLOGY

IF6.3

2023-02-0115

OAAI

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

JOURNAL OF HAZARDOUS MATERIALS

IF11.3

2023-01-0165

PRE

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

SCIENCE OF THE TOTAL ENVIRONMENT

IF8

2023-01-0122

PRE

Crystal graph convolution neural networks for fast and accurate prediction of adsorption ability of Nb2CTx towards Pb(ii) and Cd(ii) ions

JOURNAL OF MATERIALS CHEMISTRY A

IF9.5

2023-01-0110

PRE

Ather Abbas

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