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Correction to: An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis.

, , , and . Neural Comput. Appl., 34 (23): 21413 (2022)

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Real-Time Detection of Traffic Anomalies Near Roundabouts., , , and . MedPRAI, volume 1543 of Communications in Computer and Information Science, page 253-264. Springer, (2021)An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis., , , and . Neural Comput. Appl., 34 (12): 9661-9687 (2022)Predicting and Analysing Pedestrian Injury Severity: A Machine Learning-Based Approach., , , and . ICMC, volume 1412 of Advances in Intelligent Systems and Computing, page 485-497. Springer, (2021)Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking., , , and . IEEE Trans. Emerg. Top. Comput. Intell., 6 (1): 171-181 (2022)An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction., , and . Eng. Appl. Artif. Intell., 117 (Part): 105515 (2023)Deep learning in multi-object detection and tracking: state of the art., , , and . Appl. Intell., 51 (9): 6400-6429 (2021)Traffic Anomaly Detection and Video Summarization Using Spatio-Temporal Rough Fuzzy Granulation With Z-Numbers., , , and . IEEE Trans. Intell. Transp. Syst., 23 (12): 24116-24125 (2022)Video surveillance-based fall detection system using object-level feature thresholding and Z-numbers., , and . Knowl. Based Syst., (November 2023)RT-GSOM: Rough tolerance growing self-organizing map., , , and . Inf. Sci., (2021)Correction to: An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis., , , and . Neural Comput. Appl., 34 (23): 21413 (2022)