بدائل البحث:
surface optimization » surface contamination (توسيع البحث), resource optimization (توسيع البحث), swarm optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data surface » earth surface (توسيع البحث), metal surface (توسيع البحث), total surface (توسيع البحث)
psc design » emc design (توسيع البحث), hec design (توسيع البحث)
surface optimization » surface contamination (توسيع البحث), resource optimization (توسيع البحث), swarm optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data surface » earth surface (توسيع البحث), metal surface (توسيع البحث), total surface (توسيع البحث)
psc design » emc design (توسيع البحث), hec design (توسيع البحث)
-
1
-
2
A construction method of a multidimensional and multilingual association network for earth surface system science data
منشور في 2025"…The method quantitatively computes one-dimensional and multidimensional similarities using five primary indicators of multilingual data, enabling semantic interconnection and facilitating knowledge discovery within open scientific data related to the Earth surface system. …"
-
3
Proposed model tuned hyperparameters.
منشور في 2024"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
-
4
The workflow of the proposed model.
منشور في 2024"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
-
5
ResNeXt101 training and results.
منشور في 2024"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
-
6
Proposed model specificity and DSC outcomes.
منشور في 2024"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
-
7
Accuracy comparison of proposed and other models.
منشور في 2024"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
-
8
Architecture of ConvNet.
منشور في 2024"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
-
9
Comparison of state-of-the-art method.
منشور في 2024"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
-
10
Proposed model sensitivity outcome.
منشور في 2024"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
-
11
Proposed ResNeXt101 operational flow.
منشور في 2024"…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
-
12
Data used to drive the Double Layer Carbon Model in the Qinling Mountains.
منشور في 2024"…</p><p dir="ltr">Here we provided the dataset used to drive the DLCM, including annual net primary production (NPP) from 1982 to 2018, SOC maps in the two soil layers during the 1980s, annual mean temperature maps from 1982 to 2018, and annual surface soil moisture and root-zone soil moisture maps from 1982 to 2018. …"
-
13
-
14
-
15
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
منشور في 2025"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"