Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

Screening of candidate hub genes, functional enrichment analysis, and construction of the PPI network. by Changqi Du (21696596)

<b>Optimization of the whole life capacity configuration of the hydrogen production system based on improved whale optimization algorithm</b> by Fan Jiang (21178691)

A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range. by Jamison H. Burks (21029607)

Random clustering rates and sensitivity of clustering strategies using the CDR length criterion. by Katharina Waury (14203284)

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Aggregated substitution likelihoods. by Katharina Waury (14203284)

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Random clustering rates and sensitivity of clustering strategies across varying settings. by Katharina Waury (14203284)

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Performance comparison of different clustering strategies. by Katharina Waury (14203284)

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Antibody pair dataset characteristics. by Katharina Waury (14203284)

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Limitations of clustering approaches. by Katharina Waury (14203284)

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Comparison of average reward values in various simulation scenarios. by Honglei Pang (22693724)

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MSX-60 module: (a) <i>I</i>-<i>U</i> and (b) <i>P-U</i> characteristics. by Ziad M. Ali (12516532)

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

Schematic representation of the coarse structure of serial interval data. by Oswaldo Gressani (13933254)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

“…Both versions are evaluated on the same synthetic datasets with a 3-group ground truth. Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …”

Boxplots showcasing variability of additional key topological metrics obtained after 50 algorithm runs for the generation of a) chorionic vessels and b) villous vessels. by Diana C. de Oliveira (9220729)

Functions in nhppp. by Thomas A. Trikalinos (5785877)

“…We developed it to facilitate the sampling of event times in discrete event and statistical simulations. The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”

Structural diagram of the overall SCF-YOLO algorithm. by Yazhou Li (277980)

RTC-F solar cell: (a) <i>I</i>-<i>U</i> and (b) <i>P</i>-<i>U</i> characteristics. by Ziad M. Ali (12516532)

PWP201 solar module: (a) <i>I</i>-<i>U</i> and (b) <i>P</i>-<i>U</i> characteristics. by Ziad M. Ali (12516532)