Abstract: Process scheduling is crucial in optimizing resource utilization and reducing waiting times in computer systems. The traditional multilevel feedback queue scheduling algorithm (MLFQ) divides ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Coal is a solid combustible organic rock formed from the ...
(CNN) — Emma Stone’s algorithm is playing up again. The two-time Academy Award winner reported in May that she was being fed a load of “crazy sh*t” online since researching her part as a woman swept ...
Abstract: The study abstract outlines the utilization of advanced machine learning to identify and categorize casting defects such as Blowholes, Pinholes, and Swell with high precision, recall, and F1 ...
An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...
Add a description, image, and links to the machine-learning-computer-vision-pytorch-cnn topic page so that developers can more easily learn about it.
Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
Abstract: In a world rife with vehicular accidents and traffic incidents, it is known that drivers are more likely than not to shift the blame in an accident rather than admit it. Other than that, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback