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Interaction of Predatory Ladybird Beetle, Micraspis discolor with Nilaparvata lugens throughout Paddy Growing Seasons
Published 2024-06-01“…The study indicated that M. discolor, and the N. lugens collected from Selangor were more numerous than Johor in the ripening phase than in the reproductive and vegetative phases. …”
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162
Nutritional and Biological Evaluation of Leaves of Mangifera indica from Mauritius
Published 2018-01-01Get full text
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163
Classification of Dyslexia Among School Students Using Deep Learning
Published 2024-03-01Get full text
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State-of-the-Art Developments of Acoustic Energy Transfer
Published 2016-01-01Get full text
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A Reconfigurable WiMAX Antenna for Directional and Broadside Application
Published 2013-01-01Get full text
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Complementary feeding and the early origins of obesity risk: a study protocol
Published 2016-11-01“…The SEACO is a Health and Demographic Surveillance System (HDSS) that is established in the District of Segamat in the state of Johor, Malaysia. For the quantitative strand, the sociodemographic data, feeding practices, anthropometry measurement and total nutrient intake will be assessed. …”
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170
Enhancement of Sansevieria Trifasciata Laurentii Fiber Properties with Liquid Smoke Treatment
Published 2025-12-01Get full text
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171
From BIM to computational BIM: A systematic review of visual programming application in building research
Published 2025-01-01Get full text
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172
The Effects of Palm Oil Fuel Ash on Mechanical and Durability Properties of Sustainable Foamed Concrete
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Artificial intelligence and 3D subsurface interpretation for bright spot and channel detections
Published 2024-09-01Get full text
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Modelling Above-Ground Biomass Using Machine Learning Algorithms in Mangrove Forests of Peninsular Malaysia
Published 2024-01-01“…Data on tree diameter at breast height (DBH) and species were collected in Sungai Pulai, Sungai Johor, and Sungai Merbok. Combined with remote sensing data, the performance of Extreme Gradient Boosting (XGBoost), Random Forest (RF), Boosted Tree (BT), and Support Vector Machine (SVM) was compared, chosen for their ability to analyze complex patterns and predict accurately. …”
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Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach
Published 2014-01-01“…The objective of this study is to define the different ANFIS model by applying different types of MFs for each type of input to forecast the water level in two case studies, the Klang Gates Dam and Rantau Panjang station on the Johor river in Malaysia, to compare the traditional ANFIS model with the new introduced one in two different situations, reservoir and stream, showing the new approach outweigh rather than the traditional one in both case studies. …”
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