Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Optional pipe diameter and unit price of HN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

The topology of HN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Information of nodes and pipes of HN. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Functional enrichment analysis. by Benafsh Husain (7140098)

Predictive functions. by Niccolo Pescetelli (7000043)

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”

visualization 1.avi by Yunhai Zhang (6749174)

The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms. by Hamed Khodadadi (21446172)

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

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

Penalty functions used in different methods. by Souvik Seal (12437166)

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

Subjects:

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

Subjects:

Source code for DDQR and GeCo3 compression rate calculation. by Yujun Wang (1947196)

Data_Sheet_1_Dissect Relationships Between Gene Co-expression and Functional Connectivity in Human Brain.pdf by Xue Zhang (166886)

Subjects:

Swarm intelligence algorithms for width and length on influence games by 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>…”

Fitness curves of the 6 test functions. by Peiwen Zhang (1863202)

Hierarchical communities obtained from CoV-human network using the “community-based” visualization option provided by UNIPred-Web. by Paolo Perlasca (9909695)

Subjects:

Observed adjusted Rand index x100 between the methods for the partitions found setting <i>K</i> = 10 clusters in the data set with mean gene expressions spread in one day. by Susana Conde (5495675)

Observed adjusted Rand index x100 between the methods for the partitions found setting <i>K</i> = 10 clusters in the data set with mean gene expressions spread in one day. by Susana Conde (5495675)