Data supporting figures and tables in Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning حسب IKENNA EKEKE (20996041)

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Source code. حسب Jesse Wheeler (18462457)

S1 Code - حسب Jialiang Zhang (1574704)

Multi-directional image sharpness evaluation algorithm. حسب Chao Ma (207385)

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GA pseudo-code. حسب Jianpeng Zhang (528185)

Comparison of Execution Times of Different Algorithms. حسب Niu Meng (22032810)

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

The image of the Aekley function. حسب Zhengyu Xu (8550660)

Data supporting figures and tables in Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams حسب IKENNA CLEMENT EKEKE (20995226)

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Comparison of image segmentation performance of Otsu algorithm before and after improvement. حسب Yang Yang (45629)

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

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Processed results from ECG data with the P-T algorithm. حسب Daehyun Kwon (11985629)

Fire monitoring process. حسب Md. Shafak Shahriar Sozol (21212880)

Line fringe structured light generation process. حسب Guofeng Qin (11025170)

Algorithm flow chart. حسب Qifeng Liu (10746428)

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

Field photo diagnostic imaging حسب Hirokuni Miyamoto (16318251)

"…IMG_1899.JPG is not used to analyze because the whole body of fish is not taken.</p><p dir="ltr">Data_file_fish_new.xlsx: Whole raw data</p><p dir="ltr">utils.py (causion: same to original command name "utils.py" for "<code>machine_learning.py"</code>in the GitHub website "<a href="https://github.com/hmiyamoto2000/program_tai1_Texture_main/tree/v1.0.6" target="_blank">program_tai1_Texture_main</a><a href="https://github.com/hmiyamoto2000/program_tai1_Texture_main/tree/v2.0.1" target="_blank">(https://github.com/hmiyamoto2000/program_tai1_Texture_main/tree/v2.0.1</a>)": optional command for feature selection based on machine learning algorithms (The new command "utils.py" fix the random seed to control the randomness and reduce uncertainty in the training process to improve reproducibility and stability of the results.)…"

codes حسب Aytaç PEKMEZCİ (21548648)

PRISMA flowchart for the study selection process. حسب Yong Lin Lai (20854961)

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Code and data for the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms" حسب 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." …"