Data and code for: Automatic fish scale analysis by Christian Vogelmann (21646472)

“…<p dir="ltr">This dataset accompanies the publication:<br><b>"Automatic fish scale analysis: age determination, annuli and circuli detection, length and weight back-calculation of coregonid scales"</b><br></p><p dir="ltr">It provides all essential data and statistical outputs used for the <b>verification and validation</b> of the <i>Coregon Analyzer</i> – a Python-based algorithm for automated biometric fish scale measurement.…”

Clustering Results of Algorithms on Synthetic Datasets. by Wei Xingqiong (21492703)

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Visual Clustering Results of Algorithms on Compound Dataset. by Wei Xingqiong (21492703)

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Visual Clustering Results of Algorithms on Aggregation Dataset. by Wei Xingqiong (21492703)

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Visual Clustering Results of Algorithms on Circle Dataset. by Wei Xingqiong (21492703)

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Visual Clustering Results of Algorithms on Smile Dataset. by Wei Xingqiong (21492703)

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Table 1_An approach for teleseismic location by automatically matching depth phase.xlsx by Jianlong Yuan (460571)

“…<p>To deal with the low efficiency problem of accurate teleseismic hypocenter location, this paper proposes a fully automatic approach by integrating the advantages of Seismic-Scanning based on Navigated Automatic Phase-picking, which can automatically detect and locate seismic events from continuous waveforms, and the Depth-Scanning Algorithm, which can determine the precise focal depth of local and regional earthquakes by matching depth phases. …”

Visual Clustering Results of Algorithms on R15 Dataset. by Wei Xingqiong (21492703)

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Visual Clustering Results of Algorithms on Four Lines Dataset. by Wei Xingqiong (21492703)

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Performance of the U-Net model with CellProfiler post-processing for detection and area determination of respiratory organoids on new data. by Anna Demchenko (18449439)

Determination of reliability index. by Pauline Guyot (8566470)

“…After assessing the quality of the ECG signal, the new method automatically detected apneas and hypopneas using dedicated machine learning algorithm. …”

Comparison of time consumed by different clustering algorithms when K value is known and the score. by Ge Wang (56838)

Comparison of time consumed by different clustering algorithms when K value is known and the score. by Ge Wang (56838)

The Delaunay triangulations of aggregation dataset. by Wei Xingqiong (21492703)

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Parameter Settings for Comparative Experiments. by Wei Xingqiong (21492703)

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Clustering results of real datasets. by Wei Xingqiong (21492703)

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Comparison of Delaunay triangulations before and after merging clusters. by Wei Xingqiong (21492703)

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Example of Delaunay triangulation. by Wei Xingqiong (21492703)

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The compared Delaunay triangulations of cutting edges. by Wei Xingqiong (21492703)

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The supplementary datasets and additional materials referenced in this study are publicly available through the GitHub repository hosted at: by Wei Xingqiong (21492703)

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