بدائل البحث:
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
d optimization » _ optimization (توسيع البحث), b optimization (توسيع البحث), led optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
data d » data de (توسيع البحث), data _ (توسيع البحث), data 1 (توسيع البحث)
a dose » _ dose (توسيع البحث)
dose optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), wolf optimization (توسيع البحث)
d optimization » _ optimization (توسيع البحث), b optimization (توسيع البحث), led optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
binary a » binary _ (توسيع البحث), binary b (توسيع البحث), hilary a (توسيع البحث)
data d » data de (توسيع البحث), data _ (توسيع البحث), data 1 (توسيع البحث)
a dose » _ dose (توسيع البحث)
-
1
-
2
-
3
-
4
Machine learning deployment strategies and schematic illustration of the proposed generative adversarial algorithm for domain adaptation.
منشور في 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. …"
-
5
-
6
-
7
-
8
-
9
-
10
-
11
-
12
-
13
-
14
Data used to drive the Double Layer Carbon Model in the Qinling Mountains.
منشور في 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. …"
-
15
-
16
-
17
-
18
-
19
-
20
Supplementary file 1_Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning.docx
منشور في 2025"…Objective<p>This study utilizes real-world data from primary membranous nephropathy (PMN) patients to preliminarily develop a venous thromboembolism (VTE) risk prediction model with machine learning. …"