Sensors

By Kevin D. Ashley. 2020

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Haotian Fu
2. Qingsong Wen
3. Xue Wang
4. Jianye Hao
5. Liang Sun
6. Hongyao Tang
7. Zihan Lei
8. Yingfeng Chen

Citations in the corpus

• Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces (2019, background): “Reinforcement learning (RL) has recently shown a great success on a variety of cooperative multi-agent problems, such as multiplayer games [Peng et al. , 2017], autonomous cars [Cao et al. , 2013] and network packet delivery [Ye et al. , 2015].”
• Time Series Data Augmentation for Deep Learning: A Survey (2020, methodology): “The authors in [Steven Eyobu and Han, 2018] adopt short Fourier transform (STFT) to generate time-frequency features for sensor time series, and conduct data augmentation on the time-frequency features for human activity classification by a deep LSTM neural network.”