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Ali Elgendy

University of Szeged

H指数:3

被引数:28

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Comparing knowledge-driven and data-driven machine learning frameworks for coastal vulnerability assessment on the Egyptian North Coast

比较基于知识和数据驱动的机器学习框架在埃及北海岸脆弱性评估中的应用

OCEAN & COASTAL MANAGEMENT

IF5.4

2026-10-190

OAAI

Spatial Decoupling of Climatic Recharge Opportunity and Groundwater Response in an Alluvial Fan: Implications for Regional Managed Aquifer Recharge Screening

冲积扇上气候补给机会与地下水响应的空间解耦：对区域人工补给含水层筛选的启示

IF3

2026-09-190

OA

AI-driven multispectral drone monitoring for afforestation in arid environments

人工智能驱动的多光谱无人机监测在干旱环境中的植树造林

Results in Engineering

IF7.9

2026-04-300

OAAI

Assessment of the Effectiveness of Spectral Indices Derived from EnMAP Hyperspectral Imageries Using Machine Learning and Deep Learning Models for Winter Wheat Yield Prediction

使用机器学习和深度学习模型评估来自EnMAP高光谱图像的光谱指数在冬小麦产量预测中的有效性

IF4.1

2026-03-030

OAAI

The World’s Largest Saddle Dam at Risk: Multisensor Geohazard Analysis and Downstream Impacts

International Journal of Disaster Risk Reduction

IF4.5

2026-02-050

OAAI

Harnessing hyperspectral imaging and deep learning for terrestrial habitat mapping in arid landscapes: A case study in Saudi Arabia

利用高光谱成像和深度学习对干旱景观中的陆地生境进行制图：沙特阿拉伯案例研究

Ecological Informatics

IF7.3

2025-11-220

OAAI

Physics-informed deep learning reveals climate-driven snowpack decline and threatens ecological water availability in a Californian snow-fed catchment

物理信息深度学习揭示了气候驱动的积雪减少，并威胁到加利福尼亚州融雪补给流域的生态用水可用性

Ecological Informatics

IF7.3

2025-11-160

OAAI

Innovative Machine Learning, Isotopic, and Hydrogeochemical Techniques for Groundwater Analysis in Arid Landscapes in Egypt's Eastern Desert

创新机器学习、同位素和水文地球化学技术用于埃及东部沙漠干旱景观地下水分析

EARTH SYSTEMS AND ENVIRONMENT

IF4.7

2025-04-210

OA

Enhanced lithological mapping in arid crystalline regions using explainable AI and multi-spectral remote sensing data

COMPUTERS & GEOSCIENCES

IF4.4

2024-11-010

OAAI