About the Journal

Machine Learning in Engineering and Technology is a peer-reviewed, open-access, quarterly journal that publishes novel research toward conceptual, theoretical, and methodical advancements in machine-learning-driven applications in Engineering and Technological Sciences. The journal welcomes submissions on a broad range of topics including, but not limited to, machine learning algorithms, computer vision, supervised and unsupervised machine learning, deep learning, neural networks, reinforcement learning, predictive learning, Bayesian networks, and data mining.

The journal strictly follows a double-blind peer review policy for an unbiased review process while ensuring a responsible and ethical environment.

To submit your manuscript, kindly register at https://www.reseaprojournals.com/emsystem/register_user