بدائل البحث:
modeling algorithm » making algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
element learning » excellent learning (توسيع البحث), student learning (توسيع البحث), agent learning (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
element learning » excellent learning (توسيع البحث), student learning (توسيع البحث), agent learning (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
-
1
-
2
Algorithmic experimental parameter design.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
-
3
Spatial spectrum estimation for three algorithms.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
-
4
-
5
-
6
-
7
-
8
-
9
Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction
منشور في 2025"…To preform accurate forecasts on energy storage, a data-driven machine learning approach based on artificial neural networks (ANN) was optimized via a Bayesian optimization algorithm to predict the structural battery’s future capacity. …"
-
10
-
11
-
12
Coprime array with interpolated array elements.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
-
13
-
14
Machine Learning Correlation of Electron Micrographs and ToF-SIMS for the Analysis of Organic Biomarkers in Mudstone
منشور في 2024"…In terms of predictive accuracy and balanced accuracy, KNN was the best performing model and RPART the worst. The feature importance, or the specific features of the ToF-SIM spectra used by the models to make classifications, cannot be determined for KNN, preventing posthoc model interpretation. …"
-
15
High-entropy sulfide data for clustering comparison
منشور في 2025"…<p dir="ltr">Unsupervised machine learning algorithms are applied to two different sets of scanning transmission electron microscope data. …"
-
16
-
17
Mean and root mean square errors of DOA estimate.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
-
18
Schematic diagram of maritime array arming.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
-
19
Variation of RMSE with the number of snapshots.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
-
20
Velocity of sound profile.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"