Showing 1 - 11 results of 11 for search 'selangor : (((nosh OR (nash OR case)) OR ((ngoshu OR gosh) OR (ngos OR ngo))) OR nios),~', query time: 0.32s Refine Results
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    Application of multiple linear regression model and long short-term memory with compartmental model to forecast dengue cases in Selangor, Malaysia based on climate variables by Lu, Xinyi, Teh, Su Yean, Tay, Chai Jian, Nur Faeza, Abu Kassim, Fam, Pei Shan, Soewono, Edy

    Published 2025
    “…Extended validation across subsequent periods also indicates relatively satisfactory forecasting performance (with MAPE ranging from 13.12 to 17.09). This research contributed to the field by introducing a novel framework for the prediction of dengue cases over an extended temporal range.…”
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    Spatio-temporal model to forecast COVID-19 confirmed cases in high-density areas of Malaysia by Abd Rahman, Nur Haizum, Muhammad Yusof, Saidatul Nurfarahin, Che Ilias, Iszuanie Syafidza, Gopal, Kathiresan, Yaacob, Hannuun, Mohammad Sham, Noraishah

    Published 2024
    “…The number ofcoronaviruses 2019 (COVID-19) cases throughout Malaysia is high in the densely populated state of Selangor. …”
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    The effect of meteorology and air quality to the COVID-19 cases in Malaysia: a multivariate deep learning approach by Peggy, Yeo, Azuraliza Abu Bakar, Zalinda Othman, Mazrura Sahani, Suhaila Zainudin, Zailiza Suli

    Published 2024
    “…Previous research has identified meteorological conditions and air quality as critical factors influencing the spread of infectious diseases like influenza. In this study, we explore the impact of meteorological and air quality factors on COVID-19 case numbers in Malaysia, focusing on a case study in the Hulu Langat district of Selangor state, utilizing a deep learning approach. …”
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    Article
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