Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

“…The poor lighting and dust in underground engineering environments often induce serious noise and motion blur to face recognition cameras, decreasing the recognition accuracy even under Near-InfraRed (NIR) mode. …”
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Critical band-to-band-tunnelling based optoelectronic memory by Hangyu Xu, Runzhang Xie, Jinshui Miao, Zhenhan Zhang, Haonan Ge, Xuming Shi, Min Luo, Jinjin Wang, Tangxin Li, Xiao Fu, Johnny C. Ho, Peng Zhou, Fang Wang, Weida Hu

“…Since the photomemory speed, with no motion blur, is important for motion detection, the critical BTBT memory is expected to enable moving target tracking and recognition, underscoring its superiority in intelligent perception.…”
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