Tsgbench: Time series generation benchmark
Synthetic Time Series Generation (TSG) is crucial in a range of applications, including data
augmentation, anomaly detection, and privacy preservation. Although significant strides have …
augmentation, anomaly detection, and privacy preservation. Although significant strides have …
A stitch in time saves nine: Enabling early anomaly detection with correlation analysis
Early detection of anomalies from sensor-based Multivariate Time Series (MTS) is vital for
timely response to the signs of operation failures and errors. While many interesting works …
timely response to the signs of operation failures and errors. While many interesting works …
Factory energy data imputation by nearest neighbor search with clustering
Y Ang, Y Qian, S Gao - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Accurate missing data imputation plays an important role in the analysis of energy efficiency
and energy consumption of factories. For missing data imputation, a major challenge is to …
and energy consumption of factories. For missing data imputation, a major challenge is to …
Towards controllable time series generation
Time Series Generation (TSG) has emerged as a pivotal technique in synthesizing data that
accurately mirrors real-world time series, becoming indispensable in numerous applications…
accurately mirrors real-world time series, becoming indispensable in numerous applications…
EADS: An Early Anomaly Detection System for Sensor-Based Multivariate Time Series
Early Anomaly Detection (AD) in sensor-based Multivariate Time Series (MTS) is crucial for
addressing signs of operational failures. However, existing AD methods either struggle to …
addressing signs of operational failures. However, existing AD methods either struggle to …
Tsgassist: An interactive assistant harnessing llms and rag for time series generation recommendations and benchmarking
Time Series Generation (TSG) is essential in many industries for generating synthetic data
that mirrors real-world characteristics. TSGBench has advanced the field by offering …
that mirrors real-world characteristics. TSGBench has advanced the field by offering …
A Preamble-Based MAC Mechanism Combined with Neighbor Discovery Protocol in PLC Network
R Wang, Y Ang, Y Wu, W Zhang - 2024 IEEE/CIC International …, 2024 - ieeexplore.ieee.org
In this paper, we introduce ND-PMAC, a novel medium access control mechanism that merges
preamble-based access with the Neighbor Discovery Protocol to foster efficient network …
preamble-based access with the Neighbor Discovery Protocol to foster efficient network …
Dimensionally Confined Growth in Nanometer‐Sized Hierarchical Heterostructures: Nanoscale Visualization of Enhanced Magnetic and Electric Interactions
Y Liu, X Zhou, G Chen, R Zhang… - Advanced Functional …, 2025 - Wiley Online Library
Quantum size effects and interfacial dimensional interactions enable nanometer‐scale
hierarchical heterostructures to adjust band structures by energy level discretization, impurity …
hierarchical heterostructures to adjust band structures by energy level discretization, impurity …
Production Resumption Analysis for Different Industries by K-means Clustering
Z Li, J Liu, Y Ang, K Wan, J Zhao, X Lin… - 2020 IEEE 3rd …, 2020 - ieeexplore.ieee.org
At the beginning of 2020, the COVID-19 suddenly struck, which had a great impact on
industrial production, causing most companies to shut down. To further study the work and …
industrial production, causing most companies to shut down. To further study the work and …
The association of hypertension and diabetes pharmacotherapy with COVID-19 severity and immune signatures: an observational study
Methods We conducted a retrospective, observational cohort study of 717 patients with PCR-confirmed
COVID-19 who were hospitalized at the National Centre of Infectious Diseases (…
COVID-19 who were hospitalized at the National Centre of Infectious Diseases (…