Comparison of algorithms across metrics in test problems. حسب Jihui Hu (19812736)

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Results of all algorithms according to evaluation matrices. حسب Ahmed Bahaa (12887063)

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gmxapi usage examples. حسب M. Eric Irrgang (4487278)

Performance comparison of different mainstream algorithms. حسب Haisong Xu (141729)

visualization 1.avi حسب Yunhai Zhang (6749174)

Distribution of cross correlations in functional connectivity in ABIDE sample. حسب Alexandria M. Jensen (6494957)

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Parameter sets of the chosen algorithms. حسب WanRu Zhao (18980374)

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The flow chart of IERWHO algorithm. حسب WanRu Zhao (18980374)

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The flow chart of WHO algorithm. حسب WanRu Zhao (18980374)

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Simultaneous point-spread function optimization in two optical arms with a single deformable mirror. حسب nikita vladimirov (9726569)

"…The two point-spread functions (PSFs) correspond to the same fluorescent bead, as seen in two orthogonal views of the microscope. …"

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. حسب Martina Bukač (20161460)

The experimental geometric placement adopted to assess metal artifact reduction employing the new denoising convolutional neural network metal artifact reduction hybrid reconstruct... حسب Tsutomu Gomi (7382183)

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Comparisons among the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm and the traditional reconstruction algorithms wi... حسب Tsutomu Gomi (7382183)

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CNN’s optimal hyperparameters utilizing the APSO–CNN algorithm. حسب Ahmed Bahaa (12887063)

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APSO–CNN and FNN algorithms’ accuracy validation sets. حسب Ahmed Bahaa (12887063)

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APSO–CNN and FNN algorithms’ accuracy training sets. حسب Ahmed Bahaa (12887063)

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Exponent in memory kernel and intensity function. حسب Mariko I. Ito (5007323)

Swarm intelligence algorithms for width and length on influence games حسب Francisco Muñoz (9455441)

"…<br><br><div>usage: Main.py [-h] [-a] [-r] [-d D] [-t T] [-i I] [-q Q] [--shape SHAPE] [--sym] [--folder FOLDER] [--seed SEED] [--sum SUM] [--mh MH] [--tagsfile TAGSFILE] [--notags] [--prune] [--excludenodes EXCLUDENODES]<br><br>Calculates the best Influence Spread set on a Weighted Symmetric Graph using PSO<br></div><div><br></div><div><div>positional arguments:</div><div> file</div><div><br></div><div>optional arguments:</div><div> -h, --help: show this help message and exit</div><div> -a: threat file input contents as an Adjacency Matrix</div><div> -r: reverse order of nodes, from (a,b,w) a -> b will be b -> a</div><div> -d D: line separator to use while parsing</div><div> -t T: number of times to execute</div><div> -i I: number of metaheuristic iterations per execution</div><div> -q Q: fixed quota, use 0 = floor(n/2)+1</div><div> --shape SHAPE: shape functions for binarization - list of implemented shape functions: s2,s2_neg,v2,v4</div><div> --sym: consider graph as symmetric instead of directed</div><div> --folder FOLDER: output folder</div><div> --seed SEED: use custom seed for metaheuristic calcs</div><div> --sum SUM: adds a value to all node labels</div><div> --mh MH: metaheuristic to use - list of implemented metaheuristics: {1: 'Swarm', 2: 'Swarm2', 3: 'Swarm_W', 4:</div><div> 'Swarm_L'}</div><div> --tagsfile TAGSFILE: use first row as node tags instead of using plurality criteria</div><div> --notags: do not use first row as node tags - tags will be calculated</div><div> --prune: nodes with outdegree = 0 and indegree > 0, and with outdegree = 1 and neighbor's outdegree > 0 will be excluded</div><div> --excludenodes EXCLUDENODES: nodes to skip, comma separated</div></div>…"

Comparison of average precision means of different algorithms. حسب Haisong Xu (141729)

Algorithm comparison experiment on the RSOD dataset. حسب Pingping Yan (462509)

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