Coronavirus frameshift element covariation. by Luke Trinity (6792770)

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SARS-CoV-2 long range pseudoknot predictions, 222 nt window via Shapify. by Luke Trinity (6792770)

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Shortest and longest window sizes used for SARS-CoV-2 structure predictions via Shapify. by Luke Trinity (6792770)

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Structural regions involving pseudoknots in SARS-CoV-2, 144 nt window via Shapify. by Luke Trinity (6792770)

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Dataset for 'An Automated Workflow of Deep Learning Ensemble Model with Principal Component Analysis for Enhanced Material Characterisation in Energy Dispersive Spectroscopy' by Fanzhi Su (21005174)

Control signal (<i>v</i>₁ by Tuan Anh Nguyen (121944)

“…Previous studies often applied only one or several traditional algorithms to control the performance of EPAS systems and ignored the influence of external disturbances. …”

Assisted performance (<i>v</i>₁ by Tuan Anh Nguyen (121944)

State variables (<i>v</i>₁ by Tuan Anh Nguyen (121944)

Observed errors (<i>v</i>₁ by Tuan Anh Nguyen (121944)

Attack and defense behaviors with the sensory–motor algorithm between a single predator and a single prey. by Hiroyuki Ichijo (13891153)

Data_Sheet_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF by Josefa Díaz-Álvarez (5572427)

Effects of Nash equilibrium attack and defense behaviors with the sensory–motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

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>…”

Network Gradient Descent Algorithm for Decentralized Federated Learning by Shuyuan Wu (57425)

Optimization Algorithm Applied to Environmental Control in Broiler Houses by MAC Benvenga (10447461)

Convergence analysis plot for OP-ZOA (Search history, Average fitness, Trajectory of 1st dimension, Population diversity, Changes in the percentage of exploration and exploitation)... by Tengfei Ma (597633)

Algorithms for continuous and discrete abelian groups and their related classes by Aydin Carus (19420987)

“…Taşdemir and A. Carus [<i>A collection of gap algorithms related to continuous and discrete abelian groups</i>. …”

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Table1_Accelerate the Electrolyte Perturbed-Chain Statistical Associating Fluid Theory–Density Functional Theory Calculation With the Chebyshev Pseudo-Spectral Collocation Method.... by Yunhao Sun (4165822)