Search Results - (( structural testing minimum algorithm ) OR ( java application learning algorithm ))
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A hybrid local search algorithm for minimum dominating set problems
Published 2022“…Compared to the literature, the proposed algorithm outperformed other algorithms in most of the tested instances. …”
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A hybrid local search algorithm for minimum dominating set problems
Published 2022“…Compared to the literature, the proposed algorithm outperformed other algorithms in most of the tested instances. …”
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Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
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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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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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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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AUTOMATED 3D CAMERA PLACEMENT
Published 2013“…This report traces the structure of the algorithm used to find the optimal number and placement of the cameras, the deployment of the algorithm in camera placement system, and presents the results of testing done on the system. …”
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Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure
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Development Of Machine Learning User Interface For Pump Diagnostics
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Proportional integral derivative controller based on ant colony optimization for vibration cancellation of horizontal flexible plate structure
Published 2022“…The results show that ACO algorithm achieved the minimum MSE which was 6.7613 × 10−6, high stability of pole-zero plot and excellent correlation test. …”
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Logarithm of short-time Fourier transform for extending the seismic bandwidth
Published 2014“…Improving seismic resolution is essential for obtaining more detailed structural and stratigraphic information. We present a new algorithm to increase seismic resolution with a minimum of user-defined parameters. …”
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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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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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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…In the fourth phase, the newly developed algorithm undergoes testing on the formulated ROOPs and compared to several contemporary optimizer algorithms. …”
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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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Development of a heuristic procedure for balancing mixed-model parallel assembly line type II
Published 2010“…Each test problem consisted of the number of tasks, process time for each task (time unit), and the precedence relationship, minimum number of station and cycle time for each model. …”
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