CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. …”

Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Flowchart of proposed algorithm. by Tibebu Legesse (21030014)

“…Moreover, the proposed algorithm significantly extends network lifetime, with a <b>3.5%</b> and <b>7.5%</b> improvement over EAPS-AODV and AODV. …”

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

The SSIM for the different algorithms. by Bingbing Li (461702)

“…When using the algorithm for denoising, the research method had a minimum denoising time of only 13ms, which saved 9ms and 3ms compared to the hard threshold algorithm (Hard TA) and soft threshold algorithm (Soft TA), respectively. …”

CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Us... by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F3... by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Gene function enrichment analysis: GO function enrichment analysis (A) and KEGG pathway enrichment analysis (B). by Yaling Hu (11648397)

Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>" by Jiaqing Wang (18814630)

Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

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Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…</div><div><br></div><div>The `TAMS` folder contains the necessary files to run the TAMS algorithm. The `main.py` file is the file to be executed using a command of the type `python main.py`. …”

Flowchart of the general algorithm for one trial. by Junying Wang (509009)