most citedWatch from sky: machine-learning-based multi-UAV network for predictive police surveillance

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

cs.LG2022★ 1 cited

Watch from sky: machine-learning-based multi-UAV network for predictive police surveillance

Ryusei Sugano, Ryoichi Shinkuma, Takayuki Nishio +2

This paper presents the watch-from-sky framework, where multiple unmanned aerial vehicles (UAVs) play four roles, i.e., sensing, data forwarding, computing, and patrolling, for pre…

eess.SP2021

Packet-Loss-Tolerant Split Inference for Delay-Sensitive Deep Learning in Lossy Wireless Networks

Sohei Itahara, Takayuki Nishio, Koji Yamamoto

The distributed inference framework is an emerging technology for real-time applications empowered by cutting-edge deep machine learning (ML) on resource-constrained Internet of th…