Search Results - (( _ application among algorithm ) OR ( its application ((usage algorithm) OR (tree algorithm)) ))*
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah
Published 2021“…Following the application of a new methodology on the real site, the result indicated the consistency of DTM values of all the algorithms at different flying heights but there were relatively small differences between all the algorithms used. …”
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Thesis -
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Application of Decision Trees in Athlete Selection: A Cart Algorithm Approach
Published 2023“…This study investigates the application of Decision Trees (DTs), a non-parametric supervised learning method, renowned for its simplicity, interpretability, and wide applicability in various domains, including machine learning for classification and regression tasks. …”
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Fair Traffic Scheduling and Shaping Algorithms for Diffserv Networks
Published 2006“…This thesis investigates the effect of different scheduling mechanisms and usage of a different marker algorithms then develop and implement a fair scheduling mechanism and integrate it with a shaper with the usage of a very fair efficient marker at the edge of the DiffServ networks with the usage of simulation and analytical techniques. …”
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Predicting factor of online purchasing behaviour among university students in UiTMCT / Mohd Fadzlee Mazlan
Published 2022“…Several prediction rules already been produced with high interestingness by using K-Mean clustering algorithm and Random Tree algorithm. The final result was represented in dashboard. …”
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Student Project -
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Sentiment Analysis on Users' Satisfaction for Mobile Banking Apps in Malaysia
Published 2022“…The best accuracy result shows 94.37% by the Decision Tree algorithm, and Naïve Bayes obtained the worst outcome at 66%.…”
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…Mostly, it attacks Android due to its popularity and high usage among end users. Every day, more and more malicious mobile applications (apps) with the botnet capability have been developed to exploit end users' smartphones. …”
Proceedings Paper -
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The Performance of Chlorophyll-a Distribution Estimation by Using Ratio Algorithm on Landsat-8 in Sungai Merbok Estuary / Jesse Vince Rabing ... [et al.]
Published 2022“…This study explores the applicability of ratio algorithms for estimation of the chl- a concentration at Sungai Merbok by assessing chl-a distribution pattern built by the algorithms and evaluating each algorithm for their errors compared to in-situ data. …”
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway
Published 2023“…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…The algorithm exploits all interests and preferences in a hierarchy tree structure. …”
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Thesis -
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Diabetic Retinopathy Detection Model using Hybrid of U-Net and Vision Transformer Algorithms
Published 2024“…Hence, the hybrid approach consisting of combination of both the algorithms demonstrates excellent robustness and generalization which offers a promising application for diabetic retinopathy screening, involving the potential to revolutionize early diagnosis in clinical settings.…”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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Conference or Workshop Item -
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Application of machine learning algorithms to predict removal efficiency in treating produced water via gas hydrate-based desalination
Published 2025“…In this context. ML algorithms provide powerful data driven means to model complex relationship within experimental datasets to improve process optimisation This study systematically evaluated several supervised ML models, including Random Forest (RF) Support Vector Machines (SVM), Ridge Regression, Lasso Regression, Decision Tree, Extra Tree Regression, Gradient Boost, and XGBoost, to predict removal efficiency in GHBD system. …”
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A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…Its practical value is demonstrated through applications in residential, educational, and commercial buildings across various climate zones. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023text::Thesis -
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Mining Web usage using FRS
Published 2018“…Web Usage Mining (WUM) is the application of data mining methods in extracting potentially useful information from web usage data. …”
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Proceeding Paper -
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Reactive power imbalance method for islanding detection in micro-grid operation
Published 2014“…Micro-grids usage among consumers has become a new attraction due their several of advantage. …”
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