GA pseudo-code. by Jianpeng Zhang (528185)

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

An example of an aSNP affecting G4 formation. by Rongxin Zhang (1618159)

G4SNVHunter workflow for identifying variants that affect G4 formation. by Rongxin Zhang (1618159)

Characteristics of training algorithms. by Tuan Anh Nguyen (121944)

Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

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Pseudo-code for encrypting high-dimensional medical data attributes. by Yonggang Huang (223155)

codes by Aytaç PEKMEZCİ (21548648)

Code and data for the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms" by Noelle Madyson Daigle (22120114)

“…<p dir="ltr">Code and data for analysis detailed in the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms." …”

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

The genome coding scheme. by Wenbing Shi (5806160)

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SPMIL_main_code.rar by guoqing wu (19551763)

Schematic diagram of the Faster R-CNN algorithm based on MobileNet v2. by Shiya Gao (12693389)

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Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

A flowchart of the key parts of the Troika algorithm. by Samin Aref (22226678)

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Two-step algorithm for updating the template. by Yuki Kimura (199693)

Contactless Mobile Payment Framework and Software Application: Computer Programming Code and Data by Hisham AbouGrad (21228341)

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code_2 by Olga Ovtsarenko (20432033)

A novel approach for solving a class of diffusion identification problems by Ştefana-Lucia Aniţa (21584227)

“…The proposed approach considers twice continuously differentiable diffusion coefficients defined as the convolution with a square-integrable optimization function, which allows to prove the PMP by spike variation and to construct and analyze an efficient PMP-based iterative algorithm that efficiently solves diffusion identification problems approximated by finite elements.…”