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Siti Fatin Mohd Razali

Associate Professor

Universiti Kebangsaan Malaysia (UKM)

Malaysia

Research Interests

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Professors in Hydrology

Articles (19)

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2025

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2023

Collaborators (4)

Ahmed Hassan Almurshidi

Associate Professor

United Arab Emirates University

UNITED ARAB EMIRATES

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Elnazir Ramadan

OMAN

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Biswajeet Pradhan

University of Sydney

AUSTRALIA

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Zaher Mundher Yaseen

King Fahd University of Petroleum and Minerals

SAUDI ARABIA

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Siti Fatin Mohd Razali

Research Interests

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Articles (19)

A systematic literature review of digital elevation models and hydrological models integration for advanced flood risk management

Spatial decision-making for urban flood vulnerability: A geomatics approach applied to Al-Ain City, UAE

A Novel Index Approach for Estimating Soil Contamination in Oil Fields

Advancements in drought modeling: a comprehensive review of artificial intelligence and statistical models

Descriptive Analysis of Air Pollution and Meteorological Trends Across Peninsular Malaysia: Insights from Air Monitoring Stations

Forecasting monthly runoff in a glacierized catchment: A comparison of extreme gradient boosting (XGBoost) and deep learning models

Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field

Integrated approach of extreme learning machines and locally weighted linear regression for improved discharge coefficient prediction

Examining optimized machine learning models for accurate multi-month drought forecasting: A representative case study in the USA

Deep learning versus hybrid regularized extreme learning machine for multi-month drought forecasting: A comparative study and trend analysis in tropical region

Assessment of petroleum contamination in soil, water, and atmosphere: a comprehensive review

Introducing high-order response surface method for improving scour depth prediction downstream of weirs

Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures

Machine learning models development for accurate multi-months ahead drought forecasting: Case study of the Great Lakes, North America

Comparisons of Various Imputation Methods for Incomplete Water Quality Data: A Case Study of The Langat River, MalaysiaNaeimah

Improving PM<sub>2.5</sub> prediction in New Delhi using a hybrid extreme learning machine coupled with snake optimization algorithm

Improving multi-month hydrological drought forecasting in a tropical region using hybridized extreme learning machine model with Beluga Whale Optimization algorithm

Permeation Flux Prediction of Vacuum Membrane Distillation Using Hybrid Machine Learning Techniques

Short-, Medium-, and Long-Term Prediction of Carbon Dioxide Emissions using Wavelet-Enhanced Extreme Learning Machine

Collaborators (4)

Ahmed Hassan Almurshidi

Elnazir Ramadan

Biswajeet Pradhan

Zaher Mundher Yaseen

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