Comparison of accuracy. by Hao Zhang (15339)

“…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …”

Training time. by Hao Zhang (15339)

“…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …”

S1 Data - by Hao Zhang (15339)

“…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …”

D2 training without noise—Testing with noise. by Hao Zhang (15339)

“…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …”

A data binning-based multi-task prediction method for earthquake casualty prediction by Xiaowen Wei (12259334)

“…Learning strategies are then tailored by bin size:  for small bins, prediction rules are derived from the tree structure; for big bins, regression models are adaptively constructed using a customized evolutionary algorithm to select the optimal model, parameters, and feature subset. …”

Decoding motor patterns as a function of word length. by Viet Chau Linh Nguyen (21601707)

AP values of three loss functions on the three datasets, including four indicators: AP@50, AP@75, AP@M, and AP@L. by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

FPS values of different methods on the three datasets, where red represents the COCO dataset, yellow represents the MPII dataset, and green represents the HP dataset. by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

The decomposition diagram of the large kernel convolution, where the blue grid represents the convolution kernel and the green grid represents the center point. by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

Illustrates the structure of the C2F-SimDLKA module. After processing with CBS, the features are first split into two parts: one part is retained without any processing, and the ot... by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

The network architecture of YOLOv8 comprises three parts. by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

Implementation code and computational results.  by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

FPS values of different methods on the three datasets. by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

AP values of different methods on the three datasets, including four indicators: AP@50, AP@75, AP@M, and AP@L. by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

Comparison of the curves of the DCIOU loss function and the CIOU loss function. by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

AP values of three methods on the three datasets, including four indicators: AP @50, AP @75, AP @M, and AP @L. Experiment one is the baseline model without adding other modules, ex... by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

Source data for figures and tables. by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

Ap values of different methods on the three datasets. AP values include four indicators: AP@50, AP@75, AP@M, and AP@L. by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

Details the DLKA structure, which includes the DLKA-Attention module and the FFN module. The DLKA-Attention module mainly consists of the DLKA module, which comprises deformable de... by Xunqian Xu (21261899)

Subjects: “…traditional detection algorithms…”

Detection effect of different sizes. by Bo Tong (2138632)

Subjects: