Integrated Robotics Networks with Co-optimization of Drone Placement and Air-Ground Communications

no code implementations • 9 Sep 2023 • Menghao Hu, Tong Zhang, Shuai Wang, Guoliang Li, Yingyang Chen, Qiang Li, Gaojie Chen

Terrestrial robots, i. e., unmanned ground vehicles (UGVs), and aerial robots, i. e., unmanned aerial vehicles (UAVs), operate in separate spaces.

VELC: A New Variational AutoEncoder Based Model for Time Series Anomaly Detection

1 code implementation • 3 Jul 2019 • Chunkai Zhang, Shaocong Li, Hongye Zhang, Yingyang Chen

In view of reconstruct ability of the model and the calculation of anomaly score, this paper proposes a time series anomaly detection method based on Variational AutoEncoder model(VAE) with re-Encoder and Latent Constraint network(VELC).

Anomaly Detection Time Series +1

An Improvement of PAA on Trend-Based Approximation for Time Series

no code implementations • 28 Jun 2019 • Chunkai Zhang, Yingyang Chen, Ao Yin, Zhen Qin, Xing Zhang, Keli Zhang, Zoe L. Jiang

In this paper, we propose two new approaches for time series that utilize approximate trend feature information.

Anomaly Detection Dimensionality Reduction +2

Anomaly Subsequence Detection with Dynamic Local Density for Time Series

no code implementations • 28 Jun 2019 • Chunkai Zhang, Yingyang Chen, Ao Yin

Anomaly subsequence detection is to detect inconsistent data, which always contains important information, among time series.

Anomaly Detection Density Estimation +4