Search Results - (( software effective learning algorithm ) OR ( java implication based algorithm ))
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023“…The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”
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Effectiveness of algorithm visualisation in studying complex algorithms: a case study using TRAKLA Ravie / Chandren Muniyandi, Ali Maroosi
Published 2015“…TRAKLA2 is a visualisation tool used to enhance the process of learning algorithm construction and optimization. To assess the effectiveness of TRAKLA2, students were given an algorithm test prior to being introduced to the software. …”
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Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension
Published 2015“…The programming performances from the treatment and control group are compared to analyze the effect of using the proposed tool in learning programming. …”
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Software effort estimation using machine learning technique
Published 2023“…In order to better effectively evaluate predictions, this study recommends various machine learning algorithms for estimating, including k-nearest neighbor regression, support vector regression, and decision trees. …”
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Development of an interactive learning tool for analysis of fast fourier transform from butterfly diagram
Published 2023“…By developing the software it will enhance the learning and application of signal analysis of Fast Fourier Transform. …”
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Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…We utilized the enhanced Q-Learning algorithm to compare actions, including context-based actions, to effectively achieve higher code coverage. …”
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Hybrid sampling and random forest machine learning approach for software detect prediction
Published 2019“…Third, Random Forest Importance and Chi-square algorithms are chosen to find out the factors which have high effect on software defect. …”
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Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm
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Loan Eligibility Classification Using Machine Learning Approach
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Undergraduates Project Papers -
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Automatic email classification system / Phang Siew Ting
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A direct ensemble classifier for imbalanced multiclass learning
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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
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Modified Opposition Based Learning to Improve Harmony Search Variants Exploration
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