... the ratio of true positives to all actual positives, are as follows: (1) P r e c i s i o n = T P T P + F P Deep learning Computer vision Foreign object debris detection Object recognition One-stage detector Foreign object debris (FOD) at airports poses...

... Publishing Limited Licensed re-use rights only Drones Unmanned aerial vehicles UAV Thermal imaging Population monitoring Biomechanics Deep learning Observation of wildlife, especially of the animal world, is an extremely important aspect of scientific research, not only nature studies...

.../methodology/approach In this study, the pointer positions of different indicators were determined with a deep learning-based algorithm. Within the scope of the study, the pointer on the analog indicators obtained from aircraft cockpits was detected with the YOLOv4 object detector. Then, segmentation was made...

...Emre Kiyak; Gulay Unal Purpose The paper aims to address the tracking algorithm based on deep learning and four deep learning tracking models developed. They compared with each other to prevent collision and to obtain target tracking in autonomous aircraft. Design/methodology/approach First...

... to identify and detect potential targets for upper level rocket. Design/methodology/approach Aiming at the upper-level recognition of space satellites and core components, this paper proposes a deep learning-based spatial multi-target recognition method, which can simultaneously recognize space satellites...