{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T23:21:18Z","timestamp":1771543278186,"version":"3.50.1"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T00:00:00Z","timestamp":1733788800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T00:00:00Z","timestamp":1733788800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s11760-024-03604-4","type":"journal-article","created":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T11:05:50Z","timestamp":1733828750000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Improving camera parameter estimation using an adaptive genetic algorithm"],"prefix":"10.1007","volume":"19","author":[{"given":"Hafsa","family":"Khrouch","sequence":"first","affiliation":[]},{"given":"Abdelaaziz","family":"Mahdaoui","sequence":"additional","affiliation":[]},{"given":"Abdellah","family":"Marhraoui Hsaini","sequence":"additional","affiliation":[]},{"given":"Mostafa","family":"Merras","sequence":"additional","affiliation":[]},{"given":"Idriss","family":"Chana","sequence":"additional","affiliation":[]},{"given":"Aziz","family":"Bouazi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,10]]},"reference":[{"issue":"19","key":"3604_CR1","doi-asserted-by":"publisher","first-page":"6271","DOI":"10.1007\/s00500-017-2966-z","volume":"22","author":"M Merras","year":"2018","unstructured":"Merras, M., Saaidi, A., El Akkad, N., Satori, K.: Multi-view 3D reconstruction and modeling of the unknown 3D scenes using genetic algorithms. Soft Comput. 22(19), 6271\u20136289 (2018). https:\/\/doi.org\/10.1007\/s00500-017-2966-z","journal-title":"Soft Comput."},{"key":"3604_CR2","unstructured":"Guerchouche, R. et al: Camera calibration methods evaluation procedure for images rectification and 3D reconstruction"},{"key":"3604_CR3","doi-asserted-by":"publisher","first-page":"108535","DOI":"10.1016\/j.sigpro.2022.108535","volume":"197","author":"B-S Park","year":"2022","unstructured":"Park, B.-S., Kim, W., Kim, J.-K., Kim, D.-W., Seo, Y.-H.: Iterative extrinsic calibration using virtual viewpoint for 3D reconstruction. Signal Process. 197, 108535 (2022). https:\/\/doi.org\/10.1016\/j.sigpro.2022.108535","journal-title":"Signal Process."},{"issue":"5","key":"3604_CR4","doi-asserted-by":"publisher","first-page":"2573","DOI":"10.1007\/s11760-022-02474-y","volume":"17","author":"S El Hazzat","year":"2023","unstructured":"El Hazzat, S., Merras, M.: Improvement of 3D reconstruction based on a new 3D point cloud filtering algorithm. Signal Image Video Process. 17(5), 2573\u20132582 (2023). https:\/\/doi.org\/10.1007\/s11760-022-02474-y","journal-title":"Signal Image Video Process."},{"issue":"7","key":"3604_CR5","doi-asserted-by":"publisher","first-page":"3661","DOI":"10.3390\/s23073661","volume":"23","author":"S Li","year":"2023","unstructured":"Li, S., Yoon, H.-S.: Vehicle Localization in 3D World Coordinates Using Single Camera at Traffic Intersection. Sensors 23(7), 3661 (2023). https:\/\/doi.org\/10.3390\/s23073661","journal-title":"Sensors"},{"issue":"2","key":"3604_CR6","doi-asserted-by":"publisher","first-page":"111","DOI":"10.11591\/ijra.v11i2.pp111-121","volume":"11","author":"XH Van","year":"2022","unstructured":"Van, X.H., Do, N.: An efficient regression method for 3D object localization in machine vision systems. IAES Int. J. Robot. Autom. (IJRA) 11(2), 111 (2022). https:\/\/doi.org\/10.11591\/ijra.v11i2.pp111-121","journal-title":"IAES Int. J. Robot. Autom. (IJRA)"},{"key":"3604_CR7","doi-asserted-by":"publisher","unstructured":"Khrouch, H., Hsaini, A. M., Bouazi, A., Chana, I.: Experimental camera calibration study for 3D localization. In: 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), pp. 1\u20134 (2022). https:\/\/doi.org\/10.1109\/IRASET52964.2022.9738066","DOI":"10.1109\/IRASET52964.2022.9738066"},{"key":"3604_CR8","doi-asserted-by":"publisher","unstructured":"Khrouch, H., Mahdaoui, A., Tantaoui, M., Chana, I., Bouazi, A.: Camera Calibration Based on Elitist Genetic Algorithm. In: 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), pp. 1\u20137 (2024). https:\/\/doi.org\/10.1109\/IRASET60544.2024.10549372","DOI":"10.1109\/IRASET60544.2024.10549372"},{"key":"3604_CR9","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/978-981-19-7580-6_2","volume-title":"3-D Computer Vision: Principles, Algorithms and Applications","author":"Y-J Zhang","year":"2023","unstructured":"Zhang, Y.-J.: Camera calibration. In: Zhang, Y.-J. (ed.) 3-D Computer Vision: Principles, Algorithms and Applications, pp. 37\u201365. Springer Nature Singapore, Singapore (2023). https:\/\/doi.org\/10.1007\/978-981-19-7580-6_2"},{"key":"3604_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s13319-015-0039-6","author":"M Merras","year":"2015","unstructured":"Merras, M., El Akkad, N., Saaidi, A., Nazih, A.G., Satori, K.: Camera Self calibration with varying parameters by an unknown three dimensional scene using the improved genetic algorithm. 3D Res. (2015). https:\/\/doi.org\/10.1007\/s13319-015-0039-6","journal-title":"3D Res."},{"key":"3604_CR11","unstructured":"Zhang, Z.: A flexible new technique for camera calibration"},{"key":"3604_CR12","doi-asserted-by":"publisher","unstructured":"Zhang, Z.: Flexible camera calibration by viewing a plane from unknown orientations. In: Proceedings of the Seventh IEEE International Conference on Computer Vision, vol.1, pp. 666\u2013673 (1999). https:\/\/doi.org\/10.1109\/ICCV.1999.791289","DOI":"10.1109\/ICCV.1999.791289"},{"key":"3604_CR13","doi-asserted-by":"publisher","unstructured":"Heikkila, J. and Silv\u00e9n, O.: A four-step camera calibration procedure with implicit image correction. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1106\u20131112 (1997). https:\/\/doi.org\/10.1109\/CVPR.1997.609468","DOI":"10.1109\/CVPR.1997.609468"},{"key":"3604_CR14","doi-asserted-by":"publisher","unstructured":"Lopez, M., Mari, R., Gargallo, P., Kuang, Y., Gonzalez-Jimenez, J. and Haro, G.: Deep single image camera calibration with radial distortion. In: 2019 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp. 11809\u201311817 (2019). https:\/\/doi.org\/10.1109\/CVPR.2019.01209","DOI":"10.1109\/CVPR.2019.01209"},{"key":"3604_CR15","doi-asserted-by":"publisher","unstructured":"Liao, K. et al.: Deep learning for camera calibration and beyond: a survey. (2023). arXiv: arXiv:2303.10559. https:\/\/doi.org\/10.48550\/arXiv.2303.10559.","DOI":"10.48550\/arXiv.2303.10559"},{"key":"3604_CR16","doi-asserted-by":"publisher","unstructured":"Bogdan, O., Eckstein, V., Rameau, F. and Bazin, J.C.: DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view cameras. In: Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Production, in CVMP \u201918, pp. 1\u201310. Association for Computing Machinery, New York, NY, USA (2018). https:\/\/doi.org\/10.1145\/3278471.3278479","DOI":"10.1145\/3278471.3278479"},{"key":"3604_CR17","doi-asserted-by":"publisher","unstructured":"Hold-Geoffroy, Y. et al.: A perceptual measure for deep single image camera calibration. arXiv: arXiv:1712.01259. https:\/\/doi.org\/10.48550\/arXiv.1712.01259","DOI":"10.48550\/arXiv.1712.01259"},{"key":"3604_CR18","doi-asserted-by":"publisher","first-page":"3707","DOI":"10.1109\/TIP.2020.2964523","volume":"29","author":"K Liao","year":"2020","unstructured":"Liao, K., Lin, C., Zhao, Y., Mai, X.: Model-free distortion rectification framework bridged by distortion distribution map. IEEE Trans. Image Process. 29, 3707\u20133718 (2020). https:\/\/doi.org\/10.1109\/TIP.2020.2964523","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"3604_CR19","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1109\/TCSVT.2019.2897984","volume":"30","author":"K Liao","year":"2020","unstructured":"Liao, K., Lin, C., Zhao, Y., Gabbouj, Mf.: DR-GAN: automatic radial distortion rectification using conditional GAN in real-time. IEEE Trans. Circuits Syst. Video Technol. 30(3), 725\u2013733 (2020). https:\/\/doi.org\/10.1109\/TCSVT.2019.2897984","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3604_CR20","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.neucom.2020.12.115","volume":"435","author":"K Zhao","year":"2021","unstructured":"Zhao, K., Liao, K., Lin, C., Liu, M., Zhao, Y.: Joint distortion rectification and super-resolution for self-driving scene perception. Neurocomputing 435, 176\u2013185 (2021). https:\/\/doi.org\/10.1016\/j.neucom.2020.12.115","journal-title":"Neurocomputing"},{"issue":"3","key":"3604_CR21","doi-asserted-by":"publisher","first-page":"252","DOI":"10.11591\/ijai.v8.i3.pp252-258","volume":"8","author":"K Kamil","year":"2019","unstructured":"Kamil, K., Chong, K.H., Hashim, H., Shaaya, S.A.: A multiple mitosis genetic algorithm. IAES Int. J. Artif. Intell. (IJ-AI) 8(3), 252 (2019). https:\/\/doi.org\/10.11591\/ijai.v8.i3.pp252-258","journal-title":"IAES Int. J. Artif. Intell. (IJ-AI)"},{"issue":"3","key":"3604_CR22","doi-asserted-by":"publisher","first-page":"1238","DOI":"10.11591\/ijai.v12.i3.pp1238-1249","volume":"12","author":"IS Mohammed","year":"2023","unstructured":"Mohammed, I.S., Hussien, M.K.: Off-line handwritten signature recognition based on genetic algorithm and Euclidean distance. IAES Int. J. Artif. Intell. (IJ-AI) 12(3), 1238 (2023). https:\/\/doi.org\/10.11591\/ijai.v12.i3.pp1238-1249","journal-title":"IAES Int. J. Artif. Intell. (IJ-AI)"},{"issue":"6","key":"3604_CR23","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1007\/s11633-016-0999-x","volume":"14","author":"M Merras","year":"2017","unstructured":"Merras, M., El Hazzat, S., Saaidi, A., Satori, K., Nazih, A.G.: 3D face reconstruction using images from cameras with varying parameters. Int. J. Autom. Comput. 14(6), 661\u2013671 (2017). https:\/\/doi.org\/10.1007\/s11633-016-0999-x","journal-title":"Int. J. Autom. Comput."},{"key":"3604_CR24","doi-asserted-by":"publisher","unstructured":"Bouchouicha, M., Khelifa, M.B. and Puech, W.: A non-linear camera calibration with genetic algorithms. In: Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceeding, vol. 2, pp. 189\u2013192 (2003). https:\/\/doi.org\/10.1109\/ISSPA.2003.1224847","DOI":"10.1109\/ISSPA.2003.1224847"},{"key":"3604_CR25","doi-asserted-by":"publisher","unstructured":"Xing, Y., Liu, Q., Sun, J. and Hu, L.: Camera calibration based on improved genetic algorithm. In: 2007 IEEE International Conference on Automation and Logistics, pp. 2596\u20132601 (2007). https:\/\/doi.org\/10.1109\/ICAL.2007.4339018","DOI":"10.1109\/ICAL.2007.4339018"},{"issue":"129\u2013137","key":"3604_CR26","first-page":"2014","volume":"13","author":"M Merras","year":"2014","unstructured":"Merras, M., El Akkad, N., Saaidi, A., Nazih, A.G., Satori, K.: Camera calibration with varying parameters based on improved genetic algorithm. WSEAS Trans. Comput. 13(129\u2013137), 2014 (2014)","journal-title":"WSEAS Trans. Comput."},{"key":"3604_CR27","doi-asserted-by":"publisher","first-page":"126235","DOI":"10.1016\/j.optcom.2020.126235","volume":"475","author":"G Zhang","year":"2020","unstructured":"Zhang, G., Zhao, H., Zhang, G., Chen, Y.: Improved genetic algorithm for intrinsic parameters estimation of on-orbit space cameras. Opt. Commun. 475, 126235 (2020). https:\/\/doi.org\/10.1016\/j.optcom.2020.126235","journal-title":"Opt. Commun."},{"issue":"12","key":"3604_CR28","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1080\/03052150802344477","volume":"40","author":"NB Hui","year":"2008","unstructured":"Hui, N.B., Pratihar, D.K.: Camera calibration using a genetic algorithm. Eng. Optim. 40(12), 1151\u20131169 (2008). https:\/\/doi.org\/10.1080\/03052150802344477","journal-title":"Eng. Optim."},{"key":"3604_CR29","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/B978-0-12-814976-8.00010-5","volume-title":"Feature Extraction and Image Processing for Computer Vision","author":"MS Nixon","year":"2020","unstructured":"Nixon, M.S., Aguado, A.S.: Camera geometry fundamentals. In: Feature Extraction and Image Processing for Computer Vision, pp. 483\u2013510. Elsevier, The Netherlands (2020). https:\/\/doi.org\/10.1016\/B978-0-12-814976-8.00010-5"},{"issue":"2","key":"3604_CR30","doi-asserted-by":"publisher","first-page":"113","DOI":"10.14445\/22312803\/IJCTT-V43P116","volume":"43","author":"A Bouazi","year":"2017","unstructured":"Bouazi, A., Marhraoui Hsaini, A.: Construction of a non-linear distortion model and application to 3-D localization. Int. J. Comput. Trends Technol. 43(2), 113\u2013117 (2017). https:\/\/doi.org\/10.14445\/22312803\/IJCTT-V43P116","journal-title":"Int. J. Comput. Trends Technol."},{"key":"3604_CR31","doi-asserted-by":"publisher","first-page":"1184","DOI":"10.4028\/www.scientific.net\/AMM.719-720.1184","volume":"719-720","author":"S Ran","year":"2015","unstructured":"Ran, S., Ye, L., Wang, J.L., Zhang, Q.: A novel camera calibration method based on simulated annealing genetic algorithm. Appl. Mech. Mater. 719\u2013720, 1184\u20131190 (2015). https:\/\/doi.org\/10.4028\/www.scientific.net\/AMM.719-720.1184","journal-title":"Appl. Mech. Mater."},{"issue":"8","key":"3604_CR32","doi-asserted-by":"publisher","first-page":"861","DOI":"10.15918\/j.tbit1001-0645.2019.239","volume":"40","author":"W Xiangzhou","year":"2020","unstructured":"Xiangzhou, W., Dongqing, C., Shuhua, Z., Yajun, Q.: Line array camera calibration method based on improved genetic optimization algorithm. J. Beijing Inst. Technol. 40(8), 861\u2013866 (2020). https:\/\/doi.org\/10.15918\/j.tbit1001-0645.2019.239","journal-title":"J. Beijing Inst. Technol."},{"key":"3604_CR33","doi-asserted-by":"publisher","unstructured":"Yao, H. and Zhang, Z.: Research of camera calibration based on genetic algorithm BP neural network. In: 2016 IEEE International Conference on Information and Automation (ICIA), pp. 350\u2013355 (2016). https:\/\/doi.org\/10.1109\/ICInfA.2016.7831849","DOI":"10.1109\/ICInfA.2016.7831849"},{"issue":"1","key":"3604_CR34","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1049\/iet-cvi.2016.0004","volume":"11","author":"N Pitchandi","year":"2017","unstructured":"Pitchandi, N., Subramanian, S.P.: GA\u2010based camera calibration for vision\u2010assisted robotic assembly system. IET Comput. Vis. 11(1), 50\u201359 (2017). https:\/\/doi.org\/10.1049\/iet-cvi.2016.0004","journal-title":"IET Comput. Vis."},{"key":"3604_CR35","doi-asserted-by":"publisher","unstructured":"Yang, Z.J., Chen, F., Zhao, J. and Zhao, H.W.: A novel camera calibration method based on genetic algorithm. In: 2008 3rd IEEE Conference on Industrial Electronics and Applications, pp. 2222\u20132227 (2008). https:\/\/doi.org\/10.1109\/ICIEA.2008.4582912","DOI":"10.1109\/ICIEA.2008.4582912"},{"issue":"1","key":"3604_CR36","doi-asserted-by":"publisher","first-page":"9","DOI":"10.18178\/ijmlc.2017.7.1.611","volume":"7","author":"SM Lim","year":"2017","unstructured":"Lim, S.M., Abu Bakar, Md., Sultan, Md., Sulaiman, N., Aida Mustapha, K.Y.: Crossover and mutation operators of genetic algorithms. International Journal of Machine Learning and Computing 7(1), 9\u201312 (2017). https:\/\/doi.org\/10.18178\/ijmlc.2017.7.1.611","journal-title":"International Journal of Machine Learning and Computing"},{"key":"3604_CR37","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1007\/978-3-642-33478-8_7","volume-title":"Artificial Intelligence and Computational Intelligence","author":"X Ma","year":"2012","unstructured":"Ma, X., Li, B., Zhang, Y., Yan, M.: The canny edge detection and its improvement. In: Jingsheng Lei, F., Wang, L., Deng, H., Miao, D. (eds.) Artificial Intelligence and Computational Intelligence, pp. 50\u201358. Springer Berlin Heidelberg, Berlin, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33478-8_7"},{"issue":"6","key":"3604_CR38","first-page":"711","volume":"114","author":"T Vall\u00e9e","year":"2004","unstructured":"Vall\u00e9e, T., Yildizo\u011flu, M.: Pr\u00e9sentation des algorithmes g\u00e9n\u00e9tiques et de leurs applications en \u00e9conomie. Revue d\u2019\u00e9conomie politique 114(6), 711\u2013745 (2004)","journal-title":"Revue d\u2019\u00e9conomie politique"},{"key":"3604_CR39","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/B978-0-08-050684-5.50008-2","volume-title":"Foundations of Genetic Algorithms","author":"DE Goldberg","year":"1991","unstructured":"Goldberg, D.E., Deb, K.: A comparative analysis of selection schemes used in genetic algorithms. In: Foundations of Genetic Algorithms, pp. 69\u201393. Elsevier, The Netherlands (1991). https:\/\/doi.org\/10.1016\/B978-0-08-050684-5.50008-2"},{"key":"3604_CR40","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1007\/978-1-4471-0427-8_20","volume-title":"Soft Computing in Engineering Design and Manufacturing","author":"WB Riccardo Poli","year":"1998","unstructured":"Riccardo Poli, W.B.: Genetic programming with one-point crossover. In: Chawdhry, P.K., Roy, R., Pant, R.K. (eds.) Soft Computing in Engineering Design and Manufacturing, pp. 180\u2013189. Springer London, London (1998). https:\/\/doi.org\/10.1007\/978-1-4471-0427-8_20"},{"key":"3604_CR41","doi-asserted-by":"publisher","unstructured":"Soon, G.K., Guan, T.T., On, C.K., Alfred, R. and Anthony, P.: A comparison on the performance of crossover techniques in video game. In: 2013 IEEE International Conference on Control System, Computing and Engineering, pp. 493\u2013498 (2013). https:\/\/doi.org\/10.1109\/ICCSCE.2013.6720015","DOI":"10.1109\/ICCSCE.2013.6720015"},{"key":"3604_CR42","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1016\/j.proeng.2017.02.444","volume":"181","author":"R Cazacu","year":"2017","unstructured":"Cazacu, R.: Comparative study between the improved implementation of 3 classic mutation operators for genetic algorithms. Proc. Eng. 181, 634\u2013640 (2017). https:\/\/doi.org\/10.1016\/j.proeng.2017.02.444","journal-title":"Proc. Eng."},{"issue":"9","key":"3604_CR43","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.3390\/sym11091145","volume":"11","author":"S Rani","year":"2019","unstructured":"Rani, S., Suri, B., Goyal, R.: On the effectiveness of using elitist genetic algorithm in mutation testing. Symmetry 11(9), 1145 (2019). https:\/\/doi.org\/10.3390\/sym11091145","journal-title":"Symmetry"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03604-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03604-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03604-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T14:59:43Z","timestamp":1738335583000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03604-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,10]]},"references-count":43,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["3604"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03604-4","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,10]]},"assertion":[{"value":"22 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 December 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The authors affirm that the manuscript represents their original work. The ideas, perspectives, innovations, and findings presented in the manuscript are entirely their own. The corresponding author confirms that all of the other authors have read and approved the manuscript and no ethical issues involved.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval and consent to participate"}}],"article-number":"113"}}