supported by the National Natural Science Foundation of China(Grant Nos.61907028,62107027,and 11872036);the Young Science and Technology Stars in Shaanxi Province(Grant No.2021KJXX-91);the Central Universities(Grant Nos.2023YBGY158,K2021011004,2022TD-26,and GK202205020)。
Graph convolutional networks that leverage spatial-temporal information from skeletal data have emerged as a popular approach for 3D human pose estimation.However,comprehensively modeling consistent spatialtemporal de...
In underground operation,primary consideration is safety.In recent decades,for minimizing accident and for preventing major economic losses and casualties,wireless sensors are used by various large mineral countries t...