Showing 161 - 180 results of 200 for search '"Johor"', query time: 0.04s Refine Results
  1. 161

    Interaction of Predatory Ladybird Beetle, Micraspis discolor with Nilaparvata lugens throughout Paddy Growing Seasons by Alia Natasha Hanifah, Nadia Nisha Musa, Abd Aziz Shamsudin Noraziyah, Salmah Yaakop

    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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    Complementary feeding and the early origins of obesity risk: a study protocol by Daniel D Reidpath, Ireneous N Soyiri, Naleena Devi Muniandy, Pascale A Allotey

    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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    Modelling Above-Ground Biomass Using Machine Learning Algorithms in Mangrove Forests of Peninsular Malaysia by Abu Bakar Nurul Asyiqin, Wan Mohd Jaafar Wan Shafrina, Omar Hamdan, Muhammad Nor Siti Mariam, Muhmad Kamarulzaman Aisyah Marliza, Kemarau Ricky Anak

    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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  17. 177

    Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach by Nariman Valizadeh, Ahmed El-Shafie, Majid Mirzaei, Hadi Galavi, Muhammad Mukhlisin, Othman Jaafar

    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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