Abstract: Sparse Random Linear Network Coding (RLNC) reduces the computational complexity of the RLNC decoding through a low density of the non-zero coding coefficients, which can be achieved through ...
Abstract: The stable continuation of trajectories among different targets has always been the key to the tracking performance of multi-object tracking (MOT) tasks. If features of the target are ...
This collection is Volume II of the Research Topic X-raying Zero Hunger (SDG2) Targets in Africa and Other Regions: Progress, Synergies, Opportunities, and Challenges. The field of global food ...