Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

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Algorithm process. by Wei Cui (92129)

The Search process of the genetic algorithm. by Wenguang Li (6528113)

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The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

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Figures of NEXT STEPS IN THE DEVELOPMENT OF PCA-NN MODEL FOR THE IONOSPHERE: DIFFERENT PARAMETERS, REGIONS, NN ALGORITHMS AND IMPUT PARAMETERS by Sara Garcia (22419613)

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

The structure of FasterNext. by Junjie Lu (160350)

“…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”

Multi-sensor fusion process and algorithm workflow. by Hongliang Zou (20707270)

Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

“…Again, addressing the limitations of traditional Kalman filtering in nonlinear motion trajectory prediction, a novel adaptive forgetting Kalman filter algorithm (FSA) is devised to enhance the precision of model prediction and the effectiveness of parameter updates to adjust to the uncertain movement speed and trajectory of pedestrians in real scenarios. …”

Data after data processing. by Jiaqi Wang (369548)

Workflow of the developed simulation algorithm. by Arnab Mutsuddy (22146227)

Effects of processing rate and algorithms performance on estimates of biodiversity. by Valentine Fleuré (12822137)

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Parameters of the FasterNext and C3. by Junjie Lu (160350)

“…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”

Optimize process data and final results by Dawei Wang (471687)

Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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Location update in iteration. by Kuo Hu (5349881)

Decision tree construction process in Microsoft decision tree algorithm. by Liangzheng Wu (20501304)

Data processing. by Jay Chandra (19703931)

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. …”