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Optimisation of tilt angles for fixed PV Panel via computational algorithm
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Final Year Project / Dissertation / Thesis -
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Integrated Solar-IoT monitoring and predictive maintenance systems for irrigation (S-IoTP) / Hasyiya Karimah Adli ... [et al.]
Published 2021“…The solar panel moves based on the sunlight direction to harvest maximum solar output. …”
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Screening for diabetes among periodontitis patients (CODAPT-My© ): care pathway for bridging primary care with dental care services in Malaysia
Published 2020“…Care algorithms were designed based on existing public healthcare services. …”
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Screening for type 2 diabetes and periodontitis patients (CODAPT-My©): a multidisciplinary care approach
Published 2022“…Care algorithms were designed based on existing public healthcare services. …”
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Estimation of air pollutant index (API) of Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli
“…The purpose of this paper, ANN trained with feed-forward back-propagation algorithm is used to estimate the air pollutant index (API). …”
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Prediction of the level of air pollution during wildfires using machine learning classification methods
Published 2020“…The Air Pollutant Index (API) is used to identify and classify the ambient air quality status. …”
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Forecasting the air pollution index using artifical neural network at Muar, Johor, Malaysia / Ahmad Farid Rasdi
Published 2021“…This study mainly focuses on forecasting the Air Pollution Index. In this study, secondary data was used which is obtained from the Department of Environment (DOE) regarding the Air Pollution Index in Malaysia. …”
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Thesis -
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Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli
Published 2009“…The purpose of this paper, ANN trained with feed-forward back-propagation algorithm is used to estimate the air pollutant index (API). …”
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Thesis -
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GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms
Published 2021“…Although some studies have predicted air pollutants such as particulate matter (PM) using machine learning algorithms (MLAs), there is a paucity of studies on spatial hazard assessment with respect to the air quality index (AQI). …”
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Air pollution forecasting in Kuala Terengganu using Artificial Neural Network (ANN) / Nur Raudzah Abdullah
Published 2020“…In this study, ANN algorithm is used to forecast air pollution index (API) for the next day in Kuala Terengganu. …”
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Thesis -
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Impact of air pollutants on climate change and prediction of air quality index using machine learning models
Published 2024Subjects: “…Air pollution…”
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Air Pollution Index Estimation Model Based On Artificial Neural Network
Published 2021“…Three models were built in first part; ozone estimation model, particulate matter 10 (PM10) estimation model, and air pollution index (API) estimation model. Six inputs were used in ozone and PM10 models, which are nitrogen oxides( NOx), carbon monoxide (CO), sulphur dioxides (SO2), wind speed, air temperature, and relative humidity. …”
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Monograph -
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Evaluation of machine learning in predicting air quality index / Abdullah Sani Abdul Rahman, Aizal Yusrina Idris and Suhaimi Abdul Rahman
Published 2023“…The Air Quality Index (AQI) is a standard measure of air pollution, and machine learning methods have shown promise in accurately predicting AQI levels. …”
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Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam
Published 2024Subjects: “…Air quality index…”
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An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique
Published 2022“…The paper will primarily observe, visualize and anticipate pollution levels. In particular, three algorithms of Artificial Intelligence were used to create good forecasting models and a predictive AQI model for 4 distinct gases: carbon dioxide, sulphur dioxide, nitrogen dioxide, and atmospheric particulate matter. …”
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An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique
Published 2022“…The paper will primarily observe, visualize and anticipate pollution levels. In particular, three algorithms of Artificial Intelligence were used to create good forecasting models and a predictive AQI model for 4 distinct gases: carbon dioxide, sulphur dioxide, nitrogen dioxide, and atmospheric particulate matter. …”
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