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

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Greedy optimization algorithm. by Alexis Bénichou (19832361)

code & data for GeoEvo by Wenhui Zhang (20474243)

Subjects: “…Computational modelling and simulation in earth sciences…”

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. …”

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

Data and code. by Hao Cao (2248066)

“…Using a dataset of elevator operation parameters, including current, voltage, and running speed, the model utilizes the Attribute Correlation Density Ranking (ACDR) method for feature selection and the TSO-optimized VMD for denoising, enhancing data quality. …”

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

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The pseudo-code of the WOA-LSTM-PID model. by Dayu Zhang (710629)

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Analysis of elements of emergency resource scheduling model in chemical industry park. by Yuhang Wang (332111)

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Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Data and code used in this article. by Feng Shen (151470)

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Convergence curve of the DBO algorithm. 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. …”

The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

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The structure of the ANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

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

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Coding schematic. by Dongyan Wang (195482)

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

“…To solve the optimization model, an improved particle swarm optimization algorithm is proposed, and extensive simulation experiments are conducted based on a real factory environment. …”

Node coding process. by Jun Zhao (59250)

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

“…This behavior was consistent with a computational process based on the successor representation known as successor features and generalized policy improvement (SF&GPI). Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …”

Code and raw data used in this study. by Zhuolin Yang (14658411)

“…Second, a category perception module is used to learn category feature representations and guide the pixel classification process through an attention mechanism to optimize the resulting segmentation accuracy. Finally, an edge optimization module is used to integrate the edge features into the middle and the deep supervision layers of the network through an adaptive algorithm to enhance its ability to express edge features and optimize the edge segmentation effect. …”