Plot comparing the circular tracking errors of the three algorithms. by Xiaosong Liu (66661)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Plot comparing the circular angle tracking performances of the three algorithms. by Xiaosong Liu (66661)

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

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

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. …”

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Comparison of clustering algorithms (K-Means, MeanShift, etc.) based on the average Silhouette Score. by Manju M. S. (22793350)

The track of jet centre under different boundary conditions. by Feng Gao (3548)

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Jet centre track under different simulation strategies. by Feng Gao (3548)

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Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

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

“…Finally, a transformer diagnostic model based on SSA-LightGBM was constructed, and the ten fold cross validation method was used to verify the classification ability of the model. …”

Visual representation of how Cell-TRACTR uses track queries to track cells and detect divisions. by Owen M. O’Connor (11965460)

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Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. by Tomokaze Shiratori (9635271)

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The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" by Pamela Lattanzi (16454871)

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Evaluation of model performance on the mammalian DeepCell dataset. by Owen M. O’Connor (11965460)

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Evaluation of model performance on the bacterial mother machine dataset. by Owen M. O’Connor (11965460)

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Results from Cell-TRACTR and model overview for object detection. by Owen M. O’Connor (11965460)

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Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... by Owen M. O’Connor (11965460)

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