Search Results - (( mobile relation tree algorithm ) OR ( panel classification _ algorithm ))*
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Mobile Learning: An Application Prototype for AVL Tree Learning Object
Published 2010“…This project focuses on the design and development of an AVL tree learning object for tertiary students by utilizing current mobile phone features such as mobility, multimedia capability and connectivity. …”
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Mobile Learning: An Application Prototype for AVL Tree Learning Object
Published 2010“…This project focuses on the design and development of an AVL tree learning object for tertiary students by utilizing current mobile phone features such as mobility, multimedia capability and connectivity. …”
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Identifying Damage Types in Solar Panels Through Surface Image Analysis with Naive Bayes
Published 2024“…This work illustrates the potential of statistical feature extraction approaches for defect classification, while emphasizing the necessity for future improvements to boost the efficacy of feature extraction and classification techniques in practical applications.…”
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An adaptive data gathering algorithm for minimum travel route planning in WSNs based on rendezvous points
Published 2019“…MCRP exhibits a relatively close performance to other algorithms with respect to power algorithms.…”
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A study of customer retention and churn rate management through data mining and customer profiling of Malaysian mobile user
Published 2012“…Apriori association algorithm was employed to determine product bundling and C&R decision trees were used for customer profiling. …”
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Reverse migration prediction model based on machine learning / Azreen Anuar
Published 2024“…For this purpose, three (3) algorithms have been assessed, namely, the Random Forest, Decision Tree, and Gradient Boosted Tree. …”
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Identification Of Flow Blockage Levels In Centrifugal Pump By Machine Learning
Published 2021“…SVM model with cubic kernel is preferable as the training time taken is relatively lower than Ensemble Bagged Tree due to the ensemble algorithms are more complex. …”
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Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation
Published 2016“…Meanwhile, a set of descriptors corresponding to Elliptic Fourier Features shape description is extracted for each defect and is evaluated for each cluster to use for clustering and classification part. The classification combines the analysis of defect intensity features, the application of unsupervised k-mean clustering and multi-class SVM algorithms. …”
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Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques
Published 2018“…Two classification methods, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used in order to investigate the performance of classification accuracy for this E-nose system. …”
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The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach
“…A variation of k-NN algorithms were tested based on the number of neighbours, as well as the weight and the type of distance metric used. …”
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Content-based indexing of low resolution documents
Published 2016“…The algorithm has the capability of reducing any shortcoming associated with normalisation in initial fusion technique. …”
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Machine Learning Applications in Multiplayer Online Battle Arena Esports—A Systematic Review
Published 2025“…ML algorithms are used to make predictions for different purposes using game mechanics and player profiles as datasets, with random forests, decision trees, logistic regression, neural networks, and more. …”
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