Search Results - (( developing measures selection algorithm ) OR ( java evaluation modified algorithm ))
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…One such criterion, is the rate of fault detection to measures how fast test cases revealed faults. Improved rate of faults detection can give developers chance to debug the faulty software earlier. …”
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Statistical selection algorithm for peer-to-peer system
Published 2008“…Over the years, the distributed database has been developed so fast that there's a need to develop an effective selection algorithm for it. …”
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Article -
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…This research employed a modified version of the Design Science Research Methodology (DSRM), streamlined into five stages: problem identification, theoretical study, framework development, evaluation, and reporting. …”
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Improvement and performance analysis on statistical selection algorithms
Published 2006“…Over the years, the distributed database has been developed so fast that there's a need to develop an effective selection algorithm for it. …”
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Conference or Workshop Item -
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SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…The SURE-Autometrics is also validated using two sets of real data by comparing the forecast error measures with five model selection algorithms and three non-algorithm procedures. …”
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The Development of an Algorithm to Determine Axial Capacity of Piles from SPT N-Values
Published 2000“…The developed IT was used for all cases of algorithm testing. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Assessing the simulation performances of multiple model selection algorithm
Published 2015“…Hence, this study suggests improvement on the algorithm development for future research.…”
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Development of decentralized data fusion algorithm with optimized kalman filter.
Published 2016“…This thesis proposes a data fusion model that facilitates selection of algorithm and recommends selected algorithm to be optimized. …”
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Feature Selection Based on Grey Wolf Optimizer for Oil Gas Reservoir Classification
Published 2020“…Therefore, feature selection techniques become a necessity to eliminate the said irrelevant measurements/ features. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…The experiments acknowledged that the proposed relabeling algorithm could perform better in quality than the external F-score measure. …”
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…In the second experiment, we want to measure the performance of the algorithm against human judgment to identify the summarizing strategies using the precision, recall, F-measure score and accuracy rate. …”
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Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat
Published 2019“…Finally, after the aspects list was obtained from the selected rules, a pruning algorithm (PA) is developed to remove the incorrect aspects and retain the correct aspects. …”
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Measuring the performance of image data by using RLE algorithm in lossless compression technique
Published 2015“…In the research, there are one technique that will selected for this problem which is Run-Length Encoding algorithm. …”
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Undergraduates Project Papers -
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Design and development of cooperative simultaneous localization and mapping integrated with neural network for mobile robot
Published 2024“…Secondly, a framework of CSLAM algorithm integrated with ANN using Rao-Blackwellized particle filter (RBPF) algorithm for single SLAM robot, and the map merging using random sample consensus (RANSAC) algorithm, is designed and developed. …”
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