Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

“…Second, the egg carrier structure is designed, the material properties are analysed, and key parameters such as deformation are simulated by SolidWorks and Ansys Workbench. Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…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. …”

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Performance of algorithms outside the training species. by 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). …”

A framework for improving localisation prediction algorithms. by 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. …”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…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. …”

Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

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Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

Data and code resources. by Sam Hall-McMaster (10343795)

CY45-0.5/1#9 Code file for data processing and prediction results. by Yanhua Xian (21417128)

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Source Code and Dataset by Swathi Ganesan (14394924)

Partial polishing of experimental data. by 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. …”

Main Experimental Parameters of Baseline Algorithms. by Ming Gao (115719)

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Experimental comparison of MWOA with other algorithms. by Yi-Qiang Xia (20161326)

“…<p>Experimental comparison of MWOA with other algorithms.…”

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

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The genome coding scheme. by Wenbing Shi (5806160)

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Experimental parameter configuration. by Xiaozhou Feng (2918222)

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Experimental environment configuration. by Xiaozhou Feng (2918222)

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Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. by Daniel Suárez-Barrera (22676654)

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