Search Results - (( software evaluation machine algorithm ) OR ( java application customization algorithm ))
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Detection on ambiguous software requirements specification written in malay using machine learning
Published 2017“…Four (4) algorithms have been evaluated to find the suitable classification algorithm for this purpose. …”
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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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The influence of machine learning on the predictive performance of cross-project defect prediction: empirical analysis
Published 2024“…The choice of these algorithms reflects their prevalence in software defect prediction literature and their diversity. …”
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Edge assisted crime prediction and evaluation framework for machine learning algorithms
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Breast Cancer Prediction Model Using Machine Learning
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An in-process robot calibration of serial link manipulator arm based on a 3-D machine vision for minimal invasive orthopedic surgery operation / Muhammad Azmi Ayub … [et al.]
Published 2010“…Machine vision computer algorithms for the calibration procedures, ii. …”
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Loan Eligibility Classification Using Machine Learning Approach
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Minimizing machining airtime motion with an ant colony algorithm
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Cross-project software defect prediction
Published 2022“…In this work, five research questions covering the classification algorithms, dataset, independent variables, performance evaluation metrics used in CPDP studies, and as well as the performance of individual machine learning classification algorithms in predicting software defects across different software projects were addressed accordingly. …”
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Comparison on machine learning algorithm to fast detection of malicious web pages
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Detection and classification of conflict flows in SDN using machine learning algorithms
Published 2021“…As a result, this paper presents several machine learning algorithms that include Decision Tree (DT), Support Vector Machine (SVM), Extremely Fast Decision Tree (EFDT) and Hybrid (DT-SVM) for detecting and classifying conflicting flows in SDNs. …”
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Wireless water quality cloud monitoring system with self-healing algorithm
Published 2017“…It highlights the details of the hardware components and the algorithm as well as the software that is connected to the cloud. …”
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Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer
Published 2017“…Furthermore, the Lazy-IBK algorithm have been validated to produce the best classifier model, with the machine learning algorithm performance of 65.26%, recall of 65.3%, and 65.4% F-measured as compared to other evaluated machine learning classifier algorithms proposed within the WEKA data mining algorithm. …”
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Optimizing support vector machine parameters using continuous ant colony optimization
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