Search alternatives:
processing simulation » process simulation (Expand Search), processing visualization (Expand Search), docking simulation (Expand Search)
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
whale optimization » swarm optimization (Expand Search)
data processing » image processing (Expand Search)
image whale » image scale (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
processing simulation » process simulation (Expand Search), processing visualization (Expand Search), docking simulation (Expand Search)
simulation algorithm » segmentation algorithm (Expand Search), maximization algorithm (Expand Search), selection algorithm (Expand Search)
whale optimization » swarm optimization (Expand Search)
data processing » image processing (Expand Search)
image whale » image scale (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
-
61
-
62
-
63
-
64
Small-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
65
-
66
-
67
-
68
-
69
-
70
-
71
-
72
Thesis-RAMIS-Figs_Slides
Published 2024“…In this direction, the option of estimating the statistics of the model directly from the training image (performing a refined pattern search instead of simulating data) is a very promising.<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”
-
73
-
74
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets
Published 2022“…Examples include count data on disease incidence and binary satellite data on cloud mask (cloud/no-cloud). …”
-
75
Table_1_Identification of sources of DIF using covariates in patient-reported outcome measures: a simulation study comparing two approaches based on Rasch family models.DOCX
Published 2023“…Our aim was to obtain an iterative item-by-item DIF detection method based on Rasch family models that enable to adjust group comparisons for DIF in presence of two binary covariates. Both algorithms were evaluated through a simulation study under various conditions aiming to be representative of health research contexts. …”
-
76