Solving the problem of scheduling the production process based on heuristic algorithms.
- Published in:
- Journal of Universal Computer Science (JUCS), 2022, v. 28, n. 3, p. 292, doi. 10.3897/jucs.80750
- By:
- Publication type:
- Article
Works matching IS 0948695X AND DT 2022 AND VI 28 AND IP 3
Results: 7
1
2
Water stress classification using Convolutional Deep Neural Networks.
- Published in:
- Journal of Universal Computer Science (JUCS), 2022, v. 28, n. 3, p. 311, doi. 10.3897/jucs.80733
- By:
- Publication type:
- Article
3
DeepFlood: A deep learning based flood detection framework using feature-level fusion of multi-sensor remote sensing images.
- Published in:
- Journal of Universal Computer Science (JUCS), 2022, v. 28, n. 3, p. 329, doi. 10.3897/jucs.80734
- By:
- Publication type:
- Article
4
Probability-driven scoring functions in combining linear classifiers.
- Published in:
- Journal of Universal Computer Science (JUCS), 2022, v. 28, n. 3, p. 269, doi. 10.3897/jucs.80747
- By:
- Publication type:
- Article
5
Employing chunk size adaptation to overcome concept drift.
- Published in:
- Journal of Universal Computer Science (JUCS), 2022, v. 28, n. 3, p. 249, doi. 10.3897/jucs.80735
- By:
- Publication type:
- Article
6
Modification of the Principal Component Analysis Method Based on Feature Rotation by Class Centroids.
- Published in:
- Journal of Universal Computer Science (JUCS), 2022, v. 28, n. 3, p. 227, doi. 10.3897/jucs.80743
- By:
- Publication type:
- Article
7
Advances and Practical Applications of Deep and Shallow Machine Learning.
- Published in:
- Journal of Universal Computer Science (JUCS), 2022, v. 28, n. 3, p. 225, doi. 10.3897/jucs.80697
- By:
- Publication type:
- Article