Effective cluster radius from Ripley’s H-function for the NPC dataset. by Daniel F. Nino (9745709)

Examples of the PSF (first row) and its frequency domains (second row). by Haoyuan Yang (8630391)

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Algorithm of the main experiment targeted to measure the perceptual point spread function (pPSF) treating patients visual system including its optics, physiology and psychology as an integrated imaging system, and patient’s perceptions as its output signal. by Krzysztof Petelczyc (3954203)

“…<p>In the algorithm, the following variables were used: “Ic” denotes the intensity of the central diode (Ic = 40 cd); “DIST(i)” is a randomly sorted list of “D” angular stimuli positions distributed equally as a function of distance from 0.24° to 7.67° from the central point (D = 10), while “i” is an index corresponding to the current distance of a probe diode (“d”); “N” denotes the number of trials for each stimuli position (N = 20); “s” denotes the perceptual brightness value transformed to diode luminous intensity by an array “I(s)” corresponds to the table “scale (level)” determined by the algorithm presented in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0306331#pone.0306331.g003" target="_blank">Fig 3</a>; “cnt” is a counter of trials for the current probe diode’s distance, array threshold (d), and slope (d), i.e., it denotes the intensity of the single point of the pPSF and its uncertainty. …”

Flowchart of MOSRS algorithm. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

The <i>uafR</i> workflow and its constitutive functions: <i>spreadOut</i>, <i>categorate</i>, <i>exactoThese</i>, <i>mzExcato</i>, <i>decontaminate</i>, and <i>standardifyIt</i>. by Chase A. Stratton (13384089)

Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Meta-analysis of EBV GWAS of NPC. by Ka Wo Wong (18625847)

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S1 Data - by Yannick Feld (16520678)

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S4 Fig - by Yannick Feld (16520678)

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S1 Fig - by Yannick Feld (16520678)

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S2 Fig - by Yannick Feld (16520678)

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S3 Fig - by Yannick Feld (16520678)

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SP results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

MS results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

Example of a network, its transition function, and its initial and desired states. by Mohammad Moradi (3642007)

Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

“…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …”

Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

“…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …”

Fitness function over the 50 runs. by Mohammed Alqahtani (2049139)

“…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …”

Performance metrics of 28 and 9 SNPs in predicting NPC. by Ka Wo Wong (18625847)

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