Search Results - "Zaini, Nur'atiah"

A review of models for water level forecasting based on machine learning by Wee, Wei Joe, Zaini, Nur’atiah Binti, Ahmed, Ali Najah, El-Shafie, Ahmed

“…It is crucial to keep an eye on the water levels in reservoirs in order for them to perform at peak, as they are one of the, if not, the most vital part in…”
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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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Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review by Yafouz, Ayman, Ahmed, Ali Najah, Zaini, Nur’atiah, El-Shafie, Ahmed

“…The prediction of tropospheric ozone concentrations is vital due to ozone’s passive impacts on atmosphere, people’s health, flora and fauna. However, ozone…”
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A systematic literature review of deep learning neural network for time series air quality forecasting by Zaini, Nur’atiah, Ean, Lee Woen, Ahmed, Ali Najah, Malek, Marlinda Abdul

“…Rapid progress of industrial development, urbanization and traffic has caused air quality reduction that negatively affects human health and environmental…”
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PM2.5 forecasting for an urban area based on deep learning and decomposition method by Zaini, Nur’atiah, Ean, Lee Woen, Ahmed, Ali Najah, Abdul Malek, Marlinda, Chow, Ming Fai

“…Rapid growth in industrialization and urbanization have resulted in high concentration of air pollutants in the environment and thus causing severe air…”
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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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Prediction of atmospheric carbon monoxide concentration utilizing different machine learning algorithms: A case study in Kuala Lumpur, Malaysia by Latif, Sarmad Dashti, Almalayih, Mustafa, Yafouz, Ayman, Ahmed, Ali Najah, Zaini, Nur’atiah, Irwan, Dani, AlDahoul, Nouar, Sherif, Mohsen, El-Shafie, Ahmed

“…Insidious toxin carbon monoxide (CO) can imitate a wide range of different disease states. Clinicians have, and will continue to have, serious concerns about…”
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Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source by Hanoon, Marwah Sattar, Ahmed, Ali Najah, Kumar, Pavitra, Razzaq, Arif, Zaini, Nur'atiah, Huang, Yuk Feng, Sherif, Mohsen, Sefelnasr, Ahmed, Chau, Kwok wing, El-Shafie, Ahmed

“…Modeling wind speed has a significant impact on wind energy systems and has attracted attention from numerous researchers. The prediction of wind speed is…”
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Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction by Jumin, Ellysia, Zaini, Nuratiah, Ahmed, Ali Najah, Abdullah, Samsuri, Ismail, Marzuki, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed

“…High level of tropospheric ozone concentration, exceeding allowable level has been frequently reported in Malaysia. This study proposes accurate model based on…”
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Forecasting of fine particulate matter based on LSTM and optimization algorithm by Zaini, Nur'atiah, Ahmed, Ali Najah, Ean, Lee Woen, Chow, Ming Fai, Malek, Marlinda Abdul

“…Accurate air pollution forecasting may provide valuable information for urban planning to maintain environmental sustainability and reduce mortality risk due…”
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Rainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM -TRMM): A case study in Hulu Terengganu catchment, Malaysia by Che Wan Zanial, Wan Norsyuhada, Malek, Marlinda Abdul, Md Reba, Mohd Nadzri, Zaini, Nuratiah, Ahmed, Ali Najah, Sherif, Mohsen, Elshafie, Ahmed

“…The hydropower Plant in Terengganu is one of the major hydroelectric dams currently operated in Malaysia. For better operating and scheduling, accurate…”
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River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network by Zanial, Wan Norsyuhada Che Wan, Malek, Marlinda Binti Abdul, Reba, Mohd Nadzri Md, Zaini, Nuratiah, Ahmed, Ali Najah, Sherif, Mohsen, Elshafie, Ahmed

“…One of the largest hydropower facilities currently in operation in Malaysia is the Terengganu hydroelectric facility. As a result, for hydropower generation to…”
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Corrigendum to “Rainfall-runoff modelling based on global climate model and tropical rainfall measuring mission (GCM -TRMM): A case study in Hulu Terengganu catchment, Malaysia” [Heliyon 9, Issue 5, May 2023, Article e15740] by Zanial, Wan Norsyuhada Che Wan, Malek, Marlinda Abdul, Md Reba, Mohd Nadzri, Zaini, Nuratiah, Ahmed, Ali Najah, Sherif, Mohsen, Elshafie, Ahmed

“…[This corrects the article DOI: 10.1016/j.heliyon.2023.e15740.]…”
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CO concentration forecasting with attention-based LSTM and EMD for urban areas in Selangor by Zaini, Nuratiah, Ean, Lee Woen, Ahmed, Ali Naiah, Chow, Ming Fai, Malek, Marlinda Abdul

“…Deterioration of air quality levels due to the high concentration of air pollutants in ambient air, especially within urban areas, has severely affected human…”
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Application of computational intelligence methods in modelling river flow prediction: A review by Zaini, Nuratiah, Malek, Marlinda Abdul, Yusoff, Marina

“…Rainfall and river flow are one of the most difficult elements of hydrological cycle to predict. This is due to tremendous range of variability it displays…”
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