Algorithm parameter settings employed in the experiments on simulated data. حسب Liyan Sun (760586)

الموضوعات:

Convergence curve of the DBO algorithm. حسب Ma Haohao (22177538)

"…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"

code&data حسب Liyuan Liu (18298084)

"…It then developed a greedy heuristic algorithm based on the Gaussian Two-Step Floating Catchment Area method and Gini coefficient analysis for evaluating and optimizing facility accessibility and fairness. …"

data_code.zip حسب Mengmeng Gong (20129994)

"…This study introduces a novel inflation algorithm t-X for parameter estimation and validates its feasibility based on theICM used for El Nino and Southern Oscillation (ENSO) simulation and prediction. …"

Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

The CGO risk prediction process based on data augmentation and neuroevolution. حسب Wenbing Shi (5806160)

الموضوعات:

TreeMap 2016 Stand Size Code Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…"

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. حسب Tomokaze Shiratori (9635271)

الموضوعات:

The strategy of sorting the sparrow population based on the rank. حسب Liyan Sun (760586)

الموضوعات:

Performance of algorithms outside the training species. حسب Sven B. Gould (12237287)

"…Each Venn diagram of the top panel shows an overlap between predicted (left circles, colour-coded based on the algorithms used) and experimentally verified organelle proteomes (right circles, grey). …"

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. حسب Abdullah Asım Yılmaz (20715311)

S1 Code - حسب Jialiang Zhang (1574704)

الموضوعات:

Local Means Thresholding Algorithm shows high robustness. حسب Araven Tiroumalechetty (17827252)

Classification of PavCA Index scores with the k-Means algorithm where k = 3. حسب Camille Godin (21445879)

Source code. حسب Jesse Wheeler (18462457)

الموضوعات: "…routinely applicable algorithm…"

A framework for improving localisation prediction algorithms. حسب Sven B. Gould (12237287)

"…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …"

Comparison of federated learning algorithms. حسب Duy-Dong Le (22057362)

Model-Based Clustering of Categorical Data Based on the Hamming Distance حسب Raffaele Argiento (647076)

"…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …"

S1 Data - A GNSS receiver positioning algorithm based on weighting the statistical properties of discontinuous signals at lower rotation speeds حسب Jiahui Gan (22793753)

"…Weighted Kalman Filter Algorithm in C Code. S3 File. NavSolveKalman.h. Weighted Kalman Filter Algorithm in C Code. …"