Search Results - (( developing emerging quality algorithm ) OR ( java application learning algorithm ))
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
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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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Thesis -
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MuDi-Stream: A multi density clustering algorithm for evolving data stream
Published 2016“…Recently, a number of density-based algorithms have been developed for clustering data streams. …”
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Article -
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Three-dimensional coverage control for multi-unmanned aerial vehicle
Published 2024“…This study proposes a 3D coverage control algorithm to address complex real-world scenarios, wherein the 3D control algorithm will be developed based on the 2D MBC scheme. …”
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Final Year Project / Dissertation / Thesis -
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Article -
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Prediction of COVID-19 outbbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman
Published 2024“…Looking ahead, future works may explore refining the SVM model and incorporating additional features for improved accuracy, and the ongoing iterative process involves continuous validation and adaptation of the model to evolving data patterns and emerging challenges in pandemic management. This research process serves as a blueprint for developing advanced technical solutions that aid authorities and healthcare professionals in optimal resource management during emergency situations.…”
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Thesis -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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An adaptive density-based method for clustering evolving data streams / Amineh Amini
Published 2014“…Recently, a number of density-based algorithms have been developed for clustering data streams. …”
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Academic Exercise -
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Proposed algorithm for scheduling in computational grid using backfilling and optimization techniques
Published 2016“…In recent years, the fast evolution in the industry of computer hardware such as the processors, has led the application developers to design advanced software's that require massive computational power.Thus, grid computing has emerged in order to handle the computational power demands requested by the applications.Quality of service (QoS) in grid is highly required in order to provide a high service level to the users of Grid.Several interactions events are involved in determining the QoS level in grid such as; allocating the resources for the jobs, monitoring the performance of the selected resources and the computing capability of the available resources. …”
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Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…So far, limited genetic-based clustering ensemble algorithms have been developed. However, their clustering accuracy and convergence to group unlabeled samples are not still satisfied. …”
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Thesis -
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…On the Construction phase, the development of the prototype has been started. All the algorithm for the engine has been developed by using Java script language. …”
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Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems
Published 2012“…Moreover, the computation time (CPU Time) of the developed SA algorithm is significantly less than the benchmarked algorithm. …”
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