Comparison of results of different algorithms. by Zhaoyu Ku (20660546)

“…<p>In the images presented: (a) represents the unprocessed initial image; (b) shows the edge image processed using the Franklin moment; (c) displays the edge image processed with the Zernike moment; (d) depicts the edge image processed by the Canny-Zernike method; (e) illustrates the edge image processed by the Sobel-Zernike method; and (f) presents the edge image processed by the algorithm proposed in this paper.…”

Facial Expression Image Dataset for Computer Vision Algorithms by Ali Alameer (12549592)

The loss and accuracy curves of both training and testing processes for the proposed approach on the Messidor dataset. by Zenglei Liu (20629838)

Overview of the new pre-training algorithms: Real-or-Fake Prediction (RFP) and Same-Sequence Prediction (SSP). by Eun-Jin Kim (305808)

Graph showing the tracking errors of the three control algorithms under noise. by Xiaosong Liu (66661)

The Flowchart of the Hybrid GWO-BBOA Optimization Process. by Ali Abbas Abbod (22386097)

Performance comparison results of each algorithm model. by Shiya Gao (12693389)

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Quantitative results of three algorithms. by Zahoor Jan (20077515)

“…This technique uses UNet++ for pre-segmentation, followed by the marker watershed method, which has been integrated using ODE to deepen the segmentation process. This novel integration enhances clinical applications in automated blood cell analysis, diagnostic imaging, and disease monitoring, improving accuracy and robustness. …”

Code and test data for Polycenter by Ya-Ke Zhai (14248922)

Algorithm comparison test results. by Hang Ren (1312905)

Scripts for GC, CRC, and IBD in Python and R by Animesh Acharjee (6400427)

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Classification of PavCA Index scores with the k-Means algorithm where k = 3. by Camille Godin (21445879)

Detection maps obtained using different algorithms for the abu-urban-3 dataset. by Ruhan A (12403982)

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Detection maps obtained using different algorithms for the abu-beach-2 dataset. by Ruhan A (12403982)

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Algorithm design. by Dakun Liu (17134594)

“…<div><p>This study aims to improve the helicopter electric power inspection process by using the feature embedding convolution (FEC) model to solve the problems of small scope and poor real-time inspection. …”

Partial Training Images of the Dataset. by Xinwei Wang (352488)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Positive predictive value (PPV, %) by survival time following first seizure code. by André Idegård (22041446)

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The loss and accuracy curves of both training and testing processes for the proposed approach on the APTOS2019 dataset. by Zenglei Liu (20629838)

Chart showing the target tracking performances of the three control algorithms under noise. by Xiaosong Liu (66661)