Correction: YOLO-based intelligent recognition system for hidden dangers at construction sites
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsOccupational Health and Safety Research · Construction Engineering and Safety · Infrastructure Maintenance and Monitoring
The algorithm text appears incorrectly in the article, as it should have appeared in sequence. The correct full Algorithm are:
Algorithm 1 Pseudocode for the YOLO-CGBSE algorithm
Input: images Img, Bounding box coordinates Bx, By, width Bw, height Bℎ
Output: Class probabilities Pc and Predicted Bounding box coordinates
1: Initialize: Img = Img_train(80%) + Img_val(20%);
2: batch_size = 24;
3: epochs E = 200;
4: Generation G = 200;
5: for i = 1 : G do
6: for j = 1 : batcℎ_size do
7: Load yolo hyperparameters configuration file;
8: Run Genetic Algorithm (GA) to obtain best hyperparameter values;
9: end for
10: end for
11: Training Stage:
12: for i = 1 : E do
13: Load optimized yolo training parameters from GA;
14: Training on the Img_train with the YOLO-CGBSE;
15: Evaluating algorithm using Img_val;
16: end for
17: save optimal checkpoint bestweight.pt
The publisher apologizes for the errors.
The reference list from the paper itself. Each links out to its DOI / PubMed record.