Search Results - "Najah Ahmed, Ali"

Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia by Ahmedbahaaaldin Ibrahem Ahmed Osman, Ali Najah Ahmed, Ming Fai Chow, Yuk Feng Huang, Ahmed El-Shafie

“…Groundwater levels have been declining recently in Malaysia. This is why, the current study was aimed to propose an accurate groundwater levels prediction…”
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Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms by Essam, Yusuf, Huang, Yuk Feng, Birima, Ahmed H., Ahmed, Ali Najah, El-Shafie, Ahmed

“…High loads of suspended sediments in rivers are known to cause detrimental effects to potable water sources, river water quality, irrigation activities, and…”
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Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia by Hanoon, Marwah Sattar, Ahmed, Ali Najah, Zaini, Nur’atiah, Razzaq, Arif, Kumar, Pavitra, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…Accurately predicting meteorological parameters such as air temperature and humidity plays a crucial role in air quality management. This study proposes…”
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Advanced machine learning model for better prediction accuracy of soil temperature at different depths by Alizamir, Meysam, Kisi, Ozgur, Ahmed, Ali Najah, Mert, Cihan, Fai, Chow Ming, Kim, Sungwon, Kim, Nam Won, El-Shafie, Ahmed

“…Soil temperature has a vital importance in biological, physical and chemical processes of terrestrial ecosystem and its modeling at different depths is very…”
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Application of long short-term memory neural network technique for predicting monthly pan evaporation by Abed, Mustafa, Imteaz, Monzur Alam, Ahmed, Ali Najah, Huang, Yuk Feng

“…Evaporation is a key element for water resource management, hydrological modelling, and irrigation system designing. Monthly evaporation (Ep) was projected by…”
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Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms by Essam, Yusuf, Huang, Yuk Feng, Ng, Jing Lin, Birima, Ahmed H., Ahmed, Ali Najah, El-Shafie, Ahmed

“…Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due to extreme values of streamflow (SF). Due to this, the study of SF…”
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Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques by Afan, Haitham Abdulmohsin, Ibrahem Ahmed Osman, Ahmedbahaaaldin, Essam, Yusuf, Ahmed, Ali Najah, Huang, Yuk Feng, Kisi, Ozgur, Sherif, Mohsen, Sefelnasr, Ahmed, Chau, Kwok-wing, El-Shafie, Ahmed

“…This study proposes two techniques: Deep Learning (DL) and Ensemble Deep Learning (EDL) to predict groundwater level (GWL) for five wells in Malaysia. Two…”
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Suspended sediment load prediction using long short-term memory neural network by AlDahoul, Nouar, Essam, Yusuf, Kumar, Pavitra, Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, Elshafie, Ahmed

“…Rivers carry suspended sediments along with their flow. These sediments deposit at different places depending on the discharge and course of the river…”
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Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential by Costache, Romulus, Bao Pham, Quoc, Corodescu-Roșca, Ema, Cîmpianu, Cătălin, Hong, Haoyuan, Thi Thuy Linh, Nguyen, Ming Fai, Chow, Najah Ahmed, Ali, Vojtek, Matej, Muhammed Pandhiani, Siraj, Minea, Gabriel, Ciobotaru, Nicu, Cristian Popa, Mihnea, Diaconu, Daniel Constantin, Thai Pham, Binh

“…The aim of the present study was to explore the correlation between the land-use/land cover change and the flash-flood potential changes in Zăbala catchment…”
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Input attributes optimization using the feasibility of genetic nature inspired algorithm: Application of river flow forecasting by Afan, Haitham Abdulmohsin, Allawi, Mohammed Falah, El-Shafie, Amr, Yaseen, Zaher Mundher, Ahmed, Ali Najah, Malek, Marlinda Abdul, Koting, Suhana Binti, Salih, Sinan Q., Mohtar, Wan Hanna Melini Wan, Lai, Sai Hin, Sefelnasr, Ahmed, Sherif, Mohsen, El-Shafie, Ahmed

“…In nature, streamflow pattern is characterized with high non-linearity and non-stationarity. Developing an accurate forecasting model for a streamflow is…”
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Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain by Hakim, Mohammed, Omran, Abdoulhadi A. Borhana, Inayat-Hussain, Jawaid I., Ahmed, Ali Najah, Abdellatef, Hamdan, Abdellatif, Abdallah, Gheni, Hassan Muwafaq

“…The massive environmental noise interference and insufficient effective sample degradation data of the intelligent fault diagnosis performance methods pose an…”
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Evaluation of water resource balance in the Urmia Lake Basin: Integrating carrying capacity and water footprint model for sustainable management by Hadipour, Mehrdad, Pourebrahim, Sharareh, Heidari, Hamidreza, Nikooy, Fateme, Najah Ahmed, Ali, Jit Ern, Chen

“…•This research proposes a new method integrating scenario-based assessment to evaluate water provisioning ecosystem services and demand using the water…”
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Forecasting Particulate Matter Concentration Using Linear and Non-Linear Approaches for Air Quality Decision Support by Abdullah, Samsuri, Ismail, Marzuki, Ahmed, Ali Najah, Abdullah, Ahmad Makmom

“…Air quality status on the East Coast of Peninsular Malaysia is dominated by Particulate Matter (PM10) throughout the years. Studies have affirmed that PM10…”
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Application of artificial intelligence algorithms for hourly river level forecast: A case study of Muda River, Malaysia by Nur Adli Zakaria, Muhamad, Abdul Malek, Marlinda, Zolkepli, Maslina, Najah Ahmed, Ali

“…A reliable river water level model to forecast the changes in different lead times is vital for flood warning systems, especially in countries like Malaysia,…”
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Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms by Yafouz, Ayman, Ahmed, Ali Najah, Zaini, Nur'atiah, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…To accurately predict tropospheric ozone concentration(O 3 ), it is needed to investigate the variety of artificial intelligence techniques' performance, such…”
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An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration by Ehteram, Mohammad, Singh, Vijay P, Ferdowsi, Ahmad, Mousavi, Sayed Farhad, Farzin, Saeed, Karami, Hojat, Mohd, Nuruol Syuhadaa, Afan, Haitham Abdulmohsin, Lai, Sai Hin, Kisi, Ozgur, Malek, M A, Ahmed, Ali Najah, El-Shafie, Ahmed

“…Reference evapotranspiration (ET0) plays a fundamental role in irrigated agriculture. The objective of this study is to simulate monthly ET0 at a…”
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Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction by Ghazvinian, Hamidreza, Mousavi, Sayed-Farhad, Karami, Hojat, Farzin, Saeed, Ehteram, Mohammad, Hossain, Md Shabbir, Fai, Chow Ming, Hashim, Huzaifa Bin, Singh, Vijay P, Ros, Faizah Che, Ahmed, Ali Najah, Afan, Haitham Abdulmohsin, Lai, Sai Hin, El-Shafie, Ahmed

“…Solar energy is a major type of renewable energy, and its estimation is important for decision-makers. This study introduces a new prediction model for solar…”
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A hybrid bat–swarm algorithm for optimizing dam and reservoir operation by Yaseen, Zaher Mundher, Allawi, Mohammed Falah, Karami, Hojat, Ehteram, Mohammad, Farzin, Saeed, Ahmed, Ali Najah, Koting, Suhana Binti, Mohd, Nuruol Syuhadaa, Jaafar, Wan Zurina Binti, Afan, Haitham Abdulmohsin, El-Shafie, Ahmed

“…One of the major challenges and difficulties to generate optimal operation rule for dam and reservoir operation are how efficient the optimization algorithm to…”
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Investigating photovoltaic solar power output forecasting using machine learning algorithms by Essam, Yusuf, Ahmed, Ali Najah, Ramli, Rohaini, Chau, Kwok-Wing, Idris Ibrahim, Muhammad Shazril, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…Solar power integration in electrical grids is complicated due to dependence on volatile weather conditions. To address this issue, continuous research and…”
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Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios by Abobakr Yahya, Abobakr Saeed, Ahmed, Ali Najah, Binti Othman, Faridah, Ibrahim, Rusul Khaleel, Afan, Haitham Abdulmohsin, El-Shafie, Amr, Fai, Chow Ming, Hossain, Md Shabbir, Ehteram, Mohammad, Elshafie, Ahmed

“…Water quality analysis is a crucial step in water resources management and needs to be addressed urgently to control any pollution that may adversely affect…”
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