The aim of the Journal of Machine Learning and Deep Learning is to serve as a premier platform for the dissemination of cutting-edge research and advancements in the fields of machine learning (ML) and deep learning (DL). The journal aims to publish high-quality research that contributes to ML and DL's theoretical foundations, algorithms, methodologies, and applications, fostering interdisciplinary collaborations and addressing significant challenges and opportunities in these rapidly evolving fields.

1- Review of the Contributions of UAVs and Artificial Intelligence in Intelligent Transportation Systems

Author: Adama Coulibaly, Ibrahima Ngom , Jean Marie Dembélé , Kevin Leahy , Ousmane Sadio, Marc Momar Tall, Ibrahima Diagne, Moustapha Ndiaye

2- EfficientDet Model for Accurate Detection and Classification of Road Damages in Indonesia

Author: Bernard Hugo , Alfi Yusrotis Zakiyyah, Kelvin Asclepius Minor
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