Multivariate Time SeriesNetwork MonitoringTraffic EngineeringForecasting Internet traffic is receiving an increasing attention from the computer networks domain. ... P Cortez,M Rio,P Sousa,... - Springer, Berlin, Heidelberg 被引量: 11发表: 2007年 Multivariate Time-Series Anomaly Detection based on En...
Multi-scale attention mechanismWith the rapid increase of data availability, time series classification (TSC) has arisen in a wide range of fields and drawn great attention of researchers. Recently, hundreds of TSC approaches have been developed, which can be classified into two categories: ...
Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting Time series analysis is the process of exploring and analyzing past trends to predict future events for any given time interval. Powered by recent advances... C Gao,N Zhang,LH Wan - Applied ...
As reducing greenhouse emissions and carbon footprint have drawn more and more attention, predicting the power load of distribution transformers in an intelligent way is critical for electric safety and equipment protection. It is essential to perform accurate regression and generate stationary residual ...
Firstly, Mosaic data augmentation and Multi-Path Attention Mechanism (MPAM) are introduced based on the YOLOv8 object detection model. The improved model can obtain location information from the feature map in the early stages of recognition, enabling the model to focus more on the regions of ...
In the literature [25], the decomposition of electricity sequences into trend, seasonal, and residual information was input to the Bi-GRU model with the addition of multi-headed attention, which effectively converted the global and fine-grained features of the electricity consumption records, and ...
Multi-head attention-based model for reconstructing continuous missing time series data 来自 EBSCO 喜欢 0 阅读量: 19 作者:H Wu,Y Zhang,L Liang,X Mei,D Han,B Han,TH Weng,KC Li 摘要: Time series data sensed by underwater wireless sensor networks (UWSNs) play a crucial role in prediction...
Additional attention gates filtered the features propagated through the skip connections and helped the network learn to focus on relevant structures. The network had three input channels, each with spatial dimensions of 112 \(\times\) 96 \(\times\) 80 voxels. The first two input channels were...
Integration of renewable generations with electrical power systems has gained considerable attention in recent years due to environmental and economic bene... V Singh,T Moger,D Jena - 《Electric Power Systems Research》 被引量: 0发表: 2022年 Multi-Stage Optimal Placement of Branch PMU in Active ...
More imputation models have been proposed based on GAN for its advantages in data generation (Zhang et al., 2021, Li et al., 2018), such as Gated Recurrent Unit for Imputation (GRUI-GAN) (Luo et al., 2018), Self-attention based Time-series Imputation Networks using GAN (STING) (Oh ...