T2-Flair model training process using labeled data. by Fengning Liang (20927493)

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T2-Flair model training process using all data. by Fengning Liang (20927493)

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T2-Flair model training process using all data. by Fengning Liang (20927493)

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Feature Importance Analysis of the Algorithms expressed by SHAP indices. by M. A. Habib (16839161)

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Statistical analysis of the prediction results from the ML algorithms. by M. A. Habib (16839161)

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The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

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Optimization process of adaptive weight adjustment based on the SCSO. by Fengning Liang (20927493)

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Average processing time versus GPU utilization. by Shinan Ding (20783580)

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Coarse-grained motion segmentation process. by Shinan Ding (20783580)

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The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

K-SVD dictionary learning process. by Li Jiaqing (21212614)

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Hyperparameter settings. by Qingnan Ji (22662198)

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ATF-DF-WA Algorithm Experimental Code by jinhao zhong (20616116)

“…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.</li><li><b>txtvec.py</b> – This script is responsible for text vectorization, converting processed text into numerical representations suitable for machine learning algorithms.…”

<b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b> by Marly G F Costa (19812192)

“…<p dir="ltr"><b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b></p><p dir="ltr">This data set corresponds to mosaic images that are composed of a 10x10 arrangement of patches (negatives and positives) from the DDS1 dataset, resulting in a 400x400 pixel image. …”

The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

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Different steps of the experiment and data processing. by Isabel Barradas (20614853)

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Comparison of running time under different parameter settings. by Yixian Wen (12201388)

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parameter settings. by Yanyan Dong (1304145)

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parameter settings. by Yanyan Dong (1304145)

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Top 15 hub genes in five algorithms. by Tianqi Liu (1625776)