بدائل البحث:
bayesian optimization » based optimization (توسيع البحث)
task bayesian » a bayesian (توسيع البحث), art bayesian (توسيع البحث), pac bayesian (توسيع البحث)
binary task » binary mask (توسيع البحث)
less based » lens based (توسيع البحث), lemos based (توسيع البحث), degs based (توسيع البحث)
bayesian optimization » based optimization (توسيع البحث)
task bayesian » a bayesian (توسيع البحث), art bayesian (توسيع البحث), pac bayesian (توسيع البحث)
binary task » binary mask (توسيع البحث)
less based » lens based (توسيع البحث), lemos based (توسيع البحث), degs based (توسيع البحث)
-
21
datasheet1_Real-Time Dispatching Performance Improvement of Multiple Multi-Energy Supply Microgrids Using Neural Network Based Approximate Dynamic Programming.pdf
منشور في 2021"…The results show that the neural network based ADP one-step decision algorithm has almost the same performance as the Global optimization algorithm, and the highest performance among all others Local optimization algorithms. …"
-
22
Specific architecture of modern ICS.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
23
Comparison of accuracy of feature classification.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
24
Pseudo-code for the study design model.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
25
GA process.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
26
CICIDS2017 Training results on the dataset.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
27
1d-MC model architecture.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
28
The experimental basic environment parameters.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
29
GA pseudo-code.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
30
1d-MS CNN + GRU model structure.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
31
Comparison of running times of four models.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
32
1d-MSCNN + GRU model process.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
33
CNN-GRU model.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
34
Comparison of intrusion detection results.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
35
ICN pooling layer operation.
منشور في 2025"…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …"
-
36
Table_1_Reorganization of the Brain Structural Covariance Network in Ischemic Moyamoya Disease Revealed by Graph Theoretical Analysis.docx
منشور في 2022"…Structural images were pre-processed using the Computational Anatomy Toolbox 12 (CAT 12) based on the diffeomorphic anatomical registration through exponentiated lie (DARTEL) algorithm and both the global and regional SCN parameters were calculated and compared using the Graph Analysis Toolbox (GAT).…"
-
37
Table_1_Air-Sea Fluxes With a Focus on Heat and Momentum.DOCX
منشور في 2019"…The in situ flux array provides globally distributed measurements and metrics for satellite algorithm development, product validation, and for improving satellite-based, NWP and blended flux products. …"
-
38
Datasheet1_A Workflow for Rapid Unbiased Quantification of Fibrillar Feature Alignment in Biological Images.zip
منشور في 2021"…Using pre-existing datasets of cell and ECM images, we demonstrate our approach and compare and contrast this workflow with two other well-known ImageJ algorithms to quantify image feature alignment. These comparisons reveal that AFT has a number of advantages due to its grid-based FFT approach. 1) Flexibility in defining the window and neighborhood sizes allows for performing a parameter search to determine an optimal length scale to carry out alignment metrics. …"