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  1. 101
    Assessment of antifungal agent for the treatment of Culvularia sp. and Lichtheimia sp.
    “…. The five antifungal agents tested in this study were tea tree oil, lemongrass oil, vinegar, 70% ethanol…”
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    Conference paper
  2. 102
    Mechanical and physical properties analysis of olive biomass and bamboo reinforced epoxy-based hybrid composites
    “… tree small branch (OTS), olive tree big branch (OTB), and olive leaves (OTL), were prepared. Throughout…”
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    Article
  3. 103
    Optimization of strain gauge for stem measurement using PIC based instrumentation
    “…Stem measurement is vital since its diameter is related to development of tree as well as water…”
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    Conference paper
  4. 104
    The Malaysian genus Calophyllum (Calophyllaceae): a review on its phytochemistry and pharmacological activities
    “…Genus Calophyllum from the family of Calophyllaceae is an evergreen broad-leaved tree…”
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    Review
  5. 105
    A Teaching Evaluation Model Based on SVM Multi Classification
    “… the easiest classes and the idea of relative distance, the binary tree is used to train and improve SVM…”
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    Conference paper
  6. 106
    Density and humidity gradients in veneers of oil palm stems
    “… the trunk of the oil palm tree were measured and established. The veneer samples were taken from various…”
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    Article
  7. 107
    Personalized Food Recommendations: A Machine Learning Model for Enhanced Dining Choices
    “… personalized meal suggestion system. Our method leverages decision tree-based machine learning to predict user…”
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    Conference paper
  8. 108
    Classification of leaf disease from image processing technique
    “… the growth of the palm oil tree. This work presents the use of digital image processing technique…”
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    Article
  9. 109
    Predicting Mental Health Disorder on Twitter Using Machine Learning Techniques
    “…. Support Vector Machine (SVM), Decision Tree, and Naive Bayes are three examples of machine learning…”
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    Conference paper
  10. 110
    Detection of Human Bodies in Lying Position based on Aggregate Channel Features
    “… in lying positions. ACF makes use of a Boosted Decision Tree (BDT) classifier that has resulted in increase…”
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    Conference paper
  11. 111
    ISOLATION AND IDENTIFICATION OF Bacillus cereus s.l. FROM VEGETABLES AND CEREALS FROM LOCAL MARKETS IN NEGERI SEMBILAN USING 16S rDNA AMPLICON SEQUENCING
    “… confirmation using 16S rDNA amplicon sequencing. Phylogenetic tree was then created using MEGA X software…”
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    Article
  12. 112
    Carbon absorption control model of oil palm plantation
    “… is significant. However, the ability of palm tree in absorbing carbon may vary within the lifespan of the plant…”
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    Article
  13. 113
    Agarwood oil quality classification using cascade-forward neural network
    “… harvested from Aquilaria and Gyrinops tree species. The quality of agarwood depends on many factors…”
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    Conference paper
  14. 114
    Mel-log energies analysis of authentic audible intrusion activities in a Malaysian forest
    “… reserved forest. Sounds of chainsaw and hand hatchet cutting tree trunks were taken. It was found…”
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    Article
  15. 115
    Rapid Modelling of Machine Learning in Predicting Office Rental Price
    “… algorithms namely Random Forest, Decision Tree and Support Vector Machine to be compared between two training…”
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    Article
  16. 116
    Life Insurance Prediction and Its Sustainability Using Machine Learning Approach
    “… that the decision tree is the best performer according to ROC and, according to balanced accuracy, F1 score, and GM…”
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    Article
  17. 117
    Physico-mechanical behaviour of Oil Palm Broom Fibres (OPBF) as eco-friendly building material
    “…Until recently, the rib of the leaflets of the oil palm tree was only used for making brooms due…”
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    Article
  18. 118
    Alternative Railway Tools and Sustainability in RAMS: A Review
    “…. There are a series of methods that being utilized at every discipline of the RAMS component such as Fault Tree…”
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    Conference paper
  19. 119
    Evaluating Machine Learning Algorithms for Predicting Financial Aid Eligibility: A Comparative Study of Random Forest, Gradient Boosting and Neural Network
    “… this goal. Three algorithms were selected for this comparative study with Decision Tree acts as a baseline…”
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    Conference paper
  20. 120
    Identifying Multiple Outliers in Linear Functional Relationship Model Using a Robust Clustering Method; [(Menentukan Data Terpencil Berganda bagi Model Linear Hubungan Fungsian Menggunakan Kaedah Berkelompok yang Lebih Kukuh)]
    “… as the similarity measure. A new robust cut-off point using the median and median absolute deviation for the tree…”
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    Article
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