Search Results - (( _ application ((max algorithm) OR (tree algorithm)) ) OR ( web application based algorithm ))*
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Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm
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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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An improved framework for content and link-based web spam detection: a combined approach
Published 2021“…The content-based web spam detection framework uses three proposed and two improved content-based algorithms for web spam detection. …”
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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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Cyberbullying detection: a machine learning approach
Published 2022“…Machine learning is a hot topic and it is widely implemented in software, web application and more. Those algorithms are used in the classification or regression model to predict an input. …”
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Final Year Project / Dissertation / Thesis -
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Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud
Published 2022“…The objectives of this research are to develop a Malaysian license plate recognition system using a Convolutional Neural Network (CNN) on a web application and evaluate the performance of the system based on accuracy and loss values. …”
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Centralized scheduling, routing tree in WiMAX mesh networks
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Scalable rekeying algorithm in IEEE 802.16e
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An Automated System For Classifying Conference Papers
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Final Year Project / Dissertation / Thesis -
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…Furthermore, data were collected simulated based on the mobile application prototype to be used for finding the suitable machine learning algorithms in the recommendation system module. …”
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Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms
Published 2025“…A comprehensive data preprocessing pipeline was implemented, including missing value treatment, outlier removal, and feature normalization using Min-Max scaling. Three distinct metaheuristic algorithms were investigated: Barnacles Mating Optimizer (BMO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Whale Optimization Algorithm (WOA), each integrated with CatBoost to optimize critical parameters including learning rate, tree depth, regularization, and bagging temperature. …”
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Adaptive RS-group scheduling for WiMAX multihop relay
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Proceeding Paper -
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Interference avoidance routing and scheduling using multiple transceivers for IEEE 802.16 mesh network
Published 2010“…These algorithms have two advantages: first, they avoid the collision with neighbouring nodes. …”
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Assessment of forest aboveground biomass estimation from superview-1 satellite image using machine learning approaches / Azinuddin Mohd Asri
Published 2022“…The statistical values for min, max, mean, and standard deviation of carbon stock (kg/tree) were 4.891, 196.250, 101.142, and 46.340. …”
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Optimizing B-tree search performance of big data sets / Mohsen Marjani
Published 2017“…In this new method, every node has a new element storing a min-max summarization which helps search process checks availability of the value inside the sub-tree of the node, then start traversing it to find the location of the value. …”
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Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Some of the Machine learning algorithms used in NER methods are, support vector machine(SVM), Hidden Markov Model, Maximum Entropy Model (MEM) and Decision Tree. …”
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