Mekni, A., Narayan, J., & Gritli, H. (2025). Multi-class classification of gait cycle phases using machine learning: a comprehensive study using two training methods. Network Modeling Analysis in Health Informatics and Bioinformatics, 14(1). https://doi.org/10.1007/s13721-025-00522-4

MEKNI, Amal, NARAYAN, Jyotindra und GRITLI, Hassène, 2025. Multi-class classification of gait cycle phases using machine learning: a comprehensive study using two training methods. Network Modeling Analysis in Health Informatics and Bioinformatics. 1 Dezember 2025. Vol. 14, no. 1, . DOI 10.1007/s13721-025-00522-4.

Mekni, A., J. Narayan, und H. Gritli. „Multi-Class Classification of Gait Cycle Phases Using Machine Learning: A Comprehensive Study Using Two Training Methods“. Network Modeling Analysis in Health Informatics and Bioinformatics, Bd. 14, Nr. 1, Dezember 2025, https://doi.org/10.1007/s13721-025-00522-4.

Mekni, Amal/Narayan, Jyotindra/Gritli, Hassène: Multi-class classification of gait cycle phases using machine learning: a comprehensive study using two training methods, Network Modeling Analysis in Health Informatics and Bioinformatics 2025,

Mekni, A., Narayan, J. und Gritli, H. (2025), „Multi-class classification of gait cycle phases using machine learning: a comprehensive study using two training methods“, Network Modeling Analysis in Health Informatics and Bioinformatics, Vol. 14 No. 1, verfügbar unter:https://doi.org/10.1007/s13721-025-00522-4.