Bug tracking results may be employed by the software practitioners of large software projects effectively. The cost of detecting and correcting the defect becomes exponentially higher as we go from requirement analysis to the maintenance phase, where defects might even lead to loss of lives. Software...
Nowadays, several ships have been facing innumerous problems related to their main shafting systems, such as over or under loaded bearings, abnormal wear in the bearings bushes, overheating of specifics bearings thus reducing the planned maintenance intervals (Lee, 2018; Lee et al., 2019). Given...
Open Source Software "Scikit-learn: Machine learning in Python" (F. Pedregosa et al. 2011) @article{pedregosa2011scikit, title={Scikit-learn: Machine learning in Python}, author={Pedregosa, Fabian and Varoquaux, Ga{\"e}l and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand ...
cleaning, lubrication, refueling and so on. In the last thirty years, there are many researchers discussing preventive maintenance in the scheduling literature. Lee and Liman studied the single-machine scheduling constrained by scheduled maintenance to minimize the total flow time, and elucidated that ...
Failure prediction is significant in preventing the occurrence of failure and in minimizing the maintenance costs of fault tolerance management. As there are different types of cloud failure, we pay particular attention to the prediction of job and task failure. Both failures are interconnected (i.e...
while maintaining constant maintenance, or, if possible, by increasing the rigidity, which is identical with the decrease of the metallic materials. When attempting to optimize the shape of mechanical parts. The load was applied to the top of the part to simulate the “action” that causes perm...
The milling of asphalt pavements is one of the techniques applied in the process of maintenance and restoration of the road system, as part of the restoration process of deteriorated pavements [5]. Yet, this technique is associated with a large waste generation of Reclaimed Asphalt Pavement (RAP...
Thus, exploring the formation and maintenance of community assembly is crucial to predicting microbial community variation in taxonomy and functioning [29]. Nevertheless, community assembly in the soil-root continuum and the turnover of microbial functions under Cd stress is not completely understood. ...
C., Valente, M.T., Bigonha, R., Anquetil, N.: Uncovering causal relationships between software metrics and bugs. In: 2012 16th European Conference on Software Maintenance and Reengineering (2012) D’Ambros, M., Lanza, M., Robbes, R.: An extensive comparison of bug prediction approaches....
For comparison, a "deep learning"31 neural network32,33 was used to include a completely different type of classifier, using the GPU-only version of the “TensorFlow” machine learning platform (https://www.tensorflow.org39) for Python.