(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). by Yu Liu (6938)

“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”

(a) Radar chart of 4 algorithms, (b) The sorting diagram of 4 algorithms. by Yu Liu (6938)

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

(a) Radar chart of these algorithms (CEC2021), (b) The sorting diagram of these algorithms (CEC2021). by Yu Liu (6938)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”

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)

Improved YOLOv5s-DeepSORT network structure. by Guofeng Qin (11025170)

“…<div><p>To address the challenges of low accuracy, high miss detection rate, and poor tracking stability in pedestrian detection and tracking under dense occlusion and small object scenarios on traffic roads, this paper proposes a pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT. For the improvements in the YOLOv5s detection network, first, the Focal-EIoU loss function is used to replace the CIoU loss function. …”

The PF of ten comparative algorithms on the MMF12 test function. by Wenxing Wu (16853002)

The PF of ten comparative algorithms on the MMF14 test function. by Wenxing Wu (16853002)

The PF of ten comparative algorithms on the MMF1 test function. by Wenxing Wu (16853002)

The PS of ten comparative algorithms on the MMF1 test function. by Wenxing Wu (16853002)

The PS of ten comparative algorithms on the MMF14 test function. by Wenxing Wu (16853002)

RT-Sort parameters. by Tjitse van der Molen (20391106)

“…However, until now, spike sorting can only be performed after completion of the recording, preventing true real time usage of spike sorting algorithms. …”

The PS of ten comparative algorithms on the MMF14a Test Function. by Wenxing Wu (16853002)

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. by Jose Cleydson F. Silva (8685594)

M2 spread and upper ECD spread for the reruns. by Samuel Eriksson Lidbrink (21616146)

The strategy of sorting the sparrow population based on the rank. by Liyan Sun (760586)