Li, M., Liu, Y., Yang, Z., & Zhu, X. (2025). Multi-threshold image segmentation based on historical variation self-learning equilibrium optimizer. Cluster Computing: The Journal of Networks, Software Tools and Applications, 28(12). https://doi.org/10.1007/s10586-025-05345-6
ISO-690 (author-date, English)LI, Mengkun, LIU, Yijie, YANG, Ziwei und ZHU, Xiaoliang, 2025. Multi-threshold image segmentation based on historical variation self-learning equilibrium optimizer. Cluster Computing: The Journal of Networks, Software Tools and Applications. 1 November 2025. Vol. 28, no. 12, . DOI 10.1007/s10586-025-05345-6.
Modern Language Association 9th editionLi, M., Y. Liu, Z. Yang, und X. Zhu. „Multi-Threshold Image Segmentation Based on Historical Variation Self-Learning Equilibrium Optimizer“. Cluster Computing: The Journal of Networks, Software Tools and Applications, Bd. 28, Nr. 12, November 2025, https://doi.org/10.1007/s10586-025-05345-6.
Mohr Siebeck - Recht (Deutsch - Österreich)Li, Mengkun/Liu, Yijie/Yang, Ziwei/Zhu, Xiaoliang: Multi-threshold image segmentation based on historical variation self-learning equilibrium optimizer, Cluster Computing: The Journal of Networks, Software Tools and Applications 2025,
Emerald - HarvardLi, M., Liu, Y., Yang, Z. und Zhu, X. (2025), „Multi-threshold image segmentation based on historical variation self-learning equilibrium optimizer“, Cluster Computing: The Journal of Networks, Software Tools and Applications, Vol. 28 No. 12, verfügbar unter:https://doi.org/10.1007/s10586-025-05345-6.