Results 221 to 230 of about 10,094,639 (283)

Monitoring and assessment for obstructive sleep apnea

FlexMat, EarlyView.
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu, Feifei Lin, Shujiao Chen, Zhen You, Shujing Zhu, Weiwei Zhao, Qiang Zhao   +6 more
wiley   +1 more source

Spatiotemporal-decoupled interactive learning for traffic flow prediction. [PDF]

Sci Rep
Chen L, Wu Q.
europepmc   +1 more source

Physics-Aware and Intention-Enhanced Trajectory Prediction for Non-Towered Terminal Airspace. [PDF]

Sensors (Basel)
Ji L, Yang F.
europepmc   +1 more source

P2D-former for time-series forecasting with period-aware 2D representations and exogenous covariates. [PDF]

Sci Rep
Hong H, Chen G, Jian W, Yi H, Bao Z, Zhang W, Ding Z.   +6 more
europepmc   +1 more source

An Interpretable and Edge Deployable Spatio-Temporal Trajectory Prediction for Autonomous Driving. [PDF]

Sensors (Basel)
Megalingam RK, Selvarajan NP, Vijay P.
europepmc   +1 more source

Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks. [PDF]

PLoS One
Zhou W, Zhang W, Sun S, Zhang Y.
europepmc   +1 more source

Integrated spatio-temporal modeling with hybrid graph convolutions and the graph fourier neural operator for traffic prediction. [PDF]

Sci Rep
Hosseini SM, Rahmatinia SM, Hosseini-Seno SA.   +2 more
europepmc   +1 more source

Spatiotemporal traffic-flow dependency and short-term traffic forecasting

Environment and Planning B: Planning and Design, 2008
Short-term traffic forecasting is playing an increasing role in modern transport management. Although many short-term traffic forecasting methods have been explored, the spatiotemporal dependency of traffic flow, an important characteristic of traffic dynamics that can benefit the forecasting of traffic changes, is often neglected in short-term traffic
Yue, Y, Yeh, AGO
openaire   +5 more sources

Selection of Significant On-Road Sensor Data for Short-Term Traffic Flow Forecasting Using the Taguchi Method [PDF]

IEEE Transactions on Industrial Informatics, 2012
Over the past two decades, neural networks have been applied to develop short-term traffic flow predictors. The past traffic flow data, captured by on-road sensors, is used as input patterns of neural networks to forecast future traffic flow conditions ...
Professor Elizabeth Chang, Vasile Palade, Tharam Dillon   +2 more
exaly   +2 more sources