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

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The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. …”

The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

The model successfully identified the motion structure in experiments I and II. by Elnaz Nemati (21402730)

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Individual and shared motion in a random dot kinematogram, experiment III. by Elnaz Nemati (21402730)

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Classical Predictive Coding for motion processing. by Elnaz Nemati (21402730)

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Effects of noise and historical window duration on the time to convergence of model (experiment III). by Elnaz Nemati (21402730)

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Coding schematic. by Dongyan Wang (195482)

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Code and data. by Shangyang Jin (21772466)

“…This strategy combines the design of experiments (DOE), genetic algorithm (GA), and NLPQL algorithm, which is referred to as the DGN method. …”

Effects of noise level and surround suppression threshold on model convergence time in the RDK task, experiment III. by Elnaz Nemati (21402730)

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Data and code used in this article. by Yazhen Zhu (3595430)

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Algorithms runtime comparison. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

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

ATF-DF-WA Algorithm Experimental Code by jinhao zhong (20616116)

“…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.…”

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

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data_code.zip by Mengmeng Gong (20129994)

“…In this study, we conduct an in-depth investigation of a novel adaptive covariance inflation algorithm (t-X) within the framework of an observation system simulation experiment (OSSE) based on anintermediate coupled model (ICM) and the Ensemble Adjustment KF(EAKF), aiming to develop a joint approach for optimizing both model parameters and initial fields simultaneously. …”

Solution results of different algorithms. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

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. …”

Greedy optimization algorithm. by Alexis Bénichou (19832361)

Source code. by Jesse Wheeler (18462457)

Subjects: “…routinely applicable algorithm…”