Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…In addition, during the training process, it was found that both the server aggregation algorithm and the client knowledge graph embedding model performance can affect the overall performance of the algorithm.Therefore, a new server aggregation algorithm and knowledge graph embedding model RFE are proposed. …”

The process of the optimization (MIGA). by Shangyang Jin (21772466)

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Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. by Reyhane Ahmadi (14857363)

tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

Data processing diagram, logs are classified and converted into numerical vectors through Algorithm 1. by Hao Zhang (15339)

“…<p>Data processing diagram, logs are classified and converted into numerical vectors through Algorithm 1.…”

Source Code and Dataset by Swathi Ganesan (14394924)

Etalon2 observations and algorithmic processing results. by Jinyu Wang (381467)

Lares2 observations and algorithmic processing results. by Jinyu Wang (381467)

Etalon1 observations and algorithmic processing results. by Jinyu Wang (381467)

The construction process of the improved data fusion model. by Tang Ruipeng (20141334)

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Construction process of RF. by Xini Fang (20861990)

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Brain-inspired algorithm “cocktail party” listening data for individuals with hearing loss by Alex Boyd (20911316)

Code for Most Likely Paths Calculation_ERP by Mengqi Yang (21263402)

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

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.…”

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

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

Mechanical Part Point Cloud Completion Dataset by Yuchao Jiang (21744920)

Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring by Alison Gerken (17362585)

“…These findings highlight the model’s ability to generalize and maintain precision with new unseen data surpassing traditional computer vision algorithms significantly. …”

Optimization process of the DGN method. by Shangyang Jin (21772466)

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