Search Results - (( developing moderating selection algorithm ) OR ( java implication _ algorithm ))
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Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…Overall, the developed algorithms have similar PSNR value and lower average search point compared to superior algorithms. …”
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Thesis -
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Moderating effect of management support on the relationship between HR practices and employee performance in Nigeria
Published 2019“…The overall findings signify that recruitment and selection, training and development, performance appraisal and succession planning are strong and positive predictors of employee performance, and management support is a moderator in training and development–employee performance relationship, and in compensation–employee performance connection. …”
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Moderating role of management support in the relationship between human resource practices and employee performance: A study of academics in Nigerian Polytechnics
Published 2018“…Thus, this study investigated the effect of HR practices involving recruitment and selection, training and development, compensation, performance appraisal, and succession planning on employee performance with management support as a moderator. …”
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Thesis -
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Improved elitist genetic algorithm for reactive power planning in power system / Mohamad Fadhil Mohd Kamal
Published 2010“…This thesis presents a newly developed technique for the improvement of the elitist binary genetic algorithms (EGA) in implementing the reactive power planning (RPP) in power system. …”
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Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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Thesis -
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Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum
Published 2023“…Then, the selection of the critical features is chosen via Neural Network (NN) as classification algorithm and Genetic Algorithm (GA) as an optimization technique. …”
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Enhancing predictive performance in statistical modeling: Innovative hybrid best subset feature selection for rice production in Malaysia
Published 2025“…These selected determinants aligned with the four dimensions of food security and the key pillars of the Sustainable Development Goals (SDGs). …”
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Developing Android Application To Guide Lean Six Sigma PDCA Project
Published 2018“…Massachusetts Institute of Technology (MIT) App Inventor was selected as the application development platform. Guidelines to PDCA, including the associated lean tools for different stages were collected from the literature review. …”
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Monograph -
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Sentiment analysis of customer review for Tina Arena Beauty
Published 2025“…Three machine learning algorithms Naive Bayes, Random Forest, and Support Vector Machine (SVM) were evaluated, and SVM achieved the highest accuracy and was selected as the final classifier. …”
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Student Project -
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Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network
Published 2015“…Simulation models have been developed and simulated to verify the performance improvements of the proposed algorithms. …”
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Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Smart Agriculture Economics and Engineering: Unveiling the Innovation Behind AI-Enhanced Rice Farming
Published 2024“…Subsequently, the selected superior modified stacked ensemble MLR-SVR-based algorithms are utilized to forecast the 5-year future rice production for each low-middle and upper-middle Southeast Asia nation. …”
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Conference or Workshop Item -
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Land Use Changes in Jeli, Kelantan
Published 2013“…Land use change percentage and urban land expansion index (SI) are selected algorithm in this study. The overall accuracy assessment ranged from 61.39% to 92.05% which is moderate to accurate. …”
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Undergraduate Final Project Report -
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Mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm
Published 2014“…The algorithms were tested to classify the leaf samples into four levels of disease severity. …”
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Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications
Published 2025“…These patients were categorized into one of three triage labels: urgent, moderate, or minor. We employ principal component analysis (PCA) and two algorithms to fuse a large number of dataset features. …”
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Benchmarking Robust Machine Learning Models Under Data Imperfections in Real-World Data Science Scenarios
Published 2026“…Multiple classical machine learning algorithms and deep learning models were assessed across diverse benchmark datasets. …”
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Classification of Mental Health Level of Students Using SMOTE and Soft Voting Ensemble Classifier and the DASS-21 Profile
“…It leverages the Synthetic Minority Over-sampling Technique (SMOTE) to address the class imbalance in the dataset and employs a Voting Ensemble with soft voting to combine several base algorithms (Logistic Regression, Random Forest, Gradient Boosting, and XGBoost/SVM) for accurate prediction of mental health levels (normal, mild, moderate, severe, very severe). …”
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