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Published in 2019 at "Journal of Software: Evolution and Process"
DOI: 10.1002/smr.2156
Abstract: Predicting the areas of the source code having a higher likelihood to change in the future represents an important activity to allow developers to plan preventive maintenance operations. For this reason, several change prediction models…
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Keywords:
ensemble techniques;
change prediction;
change;
prediction models ... See more keywords
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Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01935-6
Abstract: Previously, many researchers have performed analysis of various techniques for the software fault prediction (SFP). Oddly, the majority of such studies have shown the limited prediction capability and their performance for given software fault datasets…
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Keywords:
ensemble techniques;
fault;
techniques software;
software fault ... See more keywords
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Published in 2017 at "Journal of the Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-016-0540-8
Abstract: Rolling element bearings are the critical mechanical components in industrial applications. These rotary elements work continuously under different operating and environmental conditions. It leads to generation of various defects over the operating surfaces of bearing…
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Keywords:
ensemble techniques;
machine;
classification;
classification rolling ... See more keywords
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Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2018.1557263
Abstract: Abstract Remote sensing has potential in studies of the benthic habitat and extracting the reflectance from the data of multispectral sensors, but traditional image classification techniques cannot provide coral habitat maps with adequate accuracy. This…
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Keywords:
ensemble techniques;
classification;
habitat;
improve coral ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3017743
Abstract: The reliable prediction of dissolved oxygen concentration (DO) is significantly crucial for protecting the health of the aquatic ecosystem. The current research employed four different single AI-based models, namely long short-term memory neural network (LSTM),…
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Keywords:
dissolved oxygen;
neural network;
oxygen concentration;
ensemble techniques ... See more keywords