Search alternatives:
proteins optimization » process optimization (Expand Search), routing optimization (Expand Search), property optimization (Expand Search)
d optimization » _ optimization (Expand Search), b optimization (Expand Search), led optimization (Expand Search)
based proteins » based protein (Expand Search), based proteomics (Expand Search), capsid proteins (Expand Search)
primary data » primary care (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
data d » data de (Expand Search), data _ (Expand Search), data 1 (Expand Search)
proteins optimization » process optimization (Expand Search), routing optimization (Expand Search), property optimization (Expand Search)
d optimization » _ optimization (Expand Search), b optimization (Expand Search), led optimization (Expand Search)
based proteins » based protein (Expand Search), based proteomics (Expand Search), capsid proteins (Expand Search)
primary data » primary care (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
data d » data de (Expand Search), data _ (Expand Search), data 1 (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
Machine learning deployment strategies and schematic illustration of the proposed generative adversarial algorithm for domain adaptation.
Published 2022“…<p><b>(A)</b> There are four primary methods by which machine learning models can be deployed in a context with distinct data domains: 1) train a model on one domain and deploy it across multiple distinct domains, 2) train multiple bespoke models that are optimized for deployment on individual domains, 3) train and deploy a single global model on all domains, and 4) train a model on one domain and adapt it through technical means to make it performant on a distinct domain. …”
-
7
-
8
-
9
-
10
-
11
-
12
-
13
-
14
-
15
-
16
Data used to drive the Double Layer Carbon Model in the Qinling Mountains.
Published 2024“…Science of The Total Environment 837, 155469. https://doi.org/10.1016/j.scitotenv.2022.155469</li><li>Peng, S., Ding, Y., Liu, W., Li, Z., 2019. 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data 11, 1931–1946. https://doi.org/10.5194/essd-11-1931-2019</li><li>Hulsman, P., Keune, J., Koppa, A., Schellekens, J., Miralles, D.G., 2023. …”
-
17
-
18
-
19
-
20