Predicting collective states of a star network using reservoir computing.
Sign Up to like & getrecommendations! Published in 2025 at "Chaos"
DOI: 10.1063/5.0271356
Abstract: Inferring the dynamics of a network of oscillators becomes a significant challenge in the absence of explicit system equations. We present a data-driven machine learning technique to predict different dynamical states of a network, specifically… read more here.
Keywords: reservoir computing; predicting collective; star network; network using ... See more keywords
PC2A: Predicting Collective Contextual Anomalies via LSTM With Deep Generative Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2930202
Abstract: Proactive anomaly detection and diagnosis play an essential role in ensuring the security and stability of a large-scale information technology (IT) system with thousands or even millions of components that are interacting with each other.… read more here.
Keywords: time series; predicting collective; collective contextual; anomalies via ... See more keywords
Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2023.3296501
Abstract: Human mobility forecasting is the key to energizing considerable mobile computing services. However, we find that the collective mobility suffers the spatiotemporal heterogeneity issue and therefore leads to inferior performances of conventional homogeneous aggregations. Given… read more here.
Keywords: mobility; human mobility; predicting collective; heterogeneity ... See more keywords