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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
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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Modelling of evaporation rate for peatland fire prevention using internet of things (IoT) system
Published 2023“…The results show that the correlation between the measured data of the IoT system and the data from METMalaysia within the same duration is larger than 0.84, with a mean square error (MSE) of 2.56, and a correlation of 0.91 can be achieved between calculated DMC using the proposed model and actual values. …”
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Spatio-temporal model to forecast COVID-19 confirmed cases in high-density areas of Malaysia
Published 2024“…The number ofcoronaviruses 2019 (COVID-19) cases throughout Malaysia is high in the densely populated state of Selangor. …”
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Broadcast Yourself via Digital Marketing: A Case Study of ‘Saiful Nang’ (S/O 14903)
Published 2022Get full text
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The effect of meteorology and air quality to the COVID-19 cases in Malaysia: a multivariate deep learning approach
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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Using biothesiometer, Neuropathy Symptom Score, and Neuropathy Disability Score for the early detection of peripheral neuropathy: a cross-sectional study
Published 2024“…Participants had an average age of 40.6 ± 12.9 years and were mostly of Chinese ethnicity (54.1%). …”
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