In this paper, we introduce an azimuth estimation algorithm that utilizes deep learning and deconvolution. The algorithm combines traditional azimuth estimation techniques for feature extraction, ...

This study addresses an energy-efficient multiobjective distributed assembly permutation flowshop scheduling problem with sequence dependent setup time. The objectives are to minimize the maximum ...