Search Results - (( developing content allocation algorithm ) OR ( java data classification algorithm ))
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
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Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. …”
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Thesis -
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Major problems in classification task are large amount of training data, large number of features and different behavior of data streams that reduce accuracy and increase computational cost in classifier training phase. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Resource allocation based on interference coordination for Multicast-Broadcast Single Frequency Network (MBSFN) / Mohd Fahmi Azman
Published 2013“…Genetic algorithm has been implemented to find the solution of allocating the static of pool of frequency respectively to the MBSFN area and to coordinate its interference (SFA-GA). …”
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Machine Learning is one of the ways as a preventive method by applying the data collected from the clogging experiment in the vibration lab to build up a machine learning model for classification of flow blockage levels in the centrifugal pump. …”
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Monograph -
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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024Conference Paper -
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Cyber parental control framework for objectionable web content classification and filtering based on topic modelling using enhanced latent dirichlet allocation / Hamza H. M. Altart...
Published 2023“…This problem has motivated academia and industry to develop frameworks for cyber parental control. Despite substantial advancements in automating web classification that combines web mining and content classification methods, the study identifies a gap in applying advanced machine learning algorithms for superior objectionable web content classification. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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Efficient radio resource management algorithms for downlink long term evolution networks
Published 2018“…Hence, the major problem is developing a scheduling algorithm which creates a trade-off between the system performances. …”
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Penyelarasan gangguan antara sel dalam komunikasi tanpa wayar
Published 2024“…The book is divided into five chapters that include introduction, theory of LTE-A and NetMIMO, background of interference coordination between cells, as well as system implementation analysis. Power allocation algorithms such as WF, IWF, and LC-IWF are developed to improve the system. …”
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Book -
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Predicting motorcycle customization preferences using machine learning
Published 2025“…A dataset comprising 292 respondents was compiled, capturing variables such as age, social environment, financial capacity, and exposure to automotive communities and content. The classification model was developed using the Random Forest algorithm, Support Vector Machine and Logistic Regression with 5-fold Cross validation. …”
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Conference or Workshop Item -
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…For this purpose, we develop an autonomous system that learns from double-bounce emails collected at a mail server. …”
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Thesis
