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Yuanfei Sun, Jirong Wang and Huabo Liu
This paper investigates the dissipativity analysis of large-scale networked systems with linear time-invariant dynamics. The networked system is composed of a large number of subsystems whose connections are arbitrary, and each subsystem can have differe...
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Tanvir Islam and Peter Washington
Stress is widely recognized as a major contributor to a variety of health issues. Stress prediction using biosignal data recorded by wearables is a key area of study in mobile sensing research because real-time stress prediction can enable digital interv...
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Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel and Elmar Rueckert
We propose a deep reinforcement learning approach for solving a mapless navigation problem in warehouse scenarios. In our approach, an automatic guided vehicle is equipped with two LiDAR sensors and one frontal RGB camera and learns to perform a targeted...
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Songze Lei, Boxing Zhang, Yanhong Wang, Baihua Dong, Xiaoping Li and Feng Xiao
UAVs (unmanned aerial vehicles) have been widely used in many fields, where they need to be detected and controlled. Small-sample UAV recognition requires an effective detecting and recognition method. When identifying a UAV target using the backward pro...
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Fares Aqlan, Xiaoping Fan, Abdullah Alqwbani and Akram Al-Mansoub
This study presents linguistically augmented models of phrase-based statistical machine translation (PBSMT) using different linguistic features (factors) on the top of the source surface form. The architecture addresses two major problems occurring in ma...
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