Results 81 to 90 of about 1,772,398 (306)
Short‐term traffic flow prediction based on AST‐MTL‐CNN‐GRU
To address the current objective of short‐term traffic flow prediction on roads, this paper aims to predict not only the future traffic flow on roads, but also the average speed of future roads. Specifically, the authors propose a short‐term traffic flow
Zijing Yang, Cheng Wang
doaj +1 more source
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Short-Term and Long-Term Travel Time Prediction Using Transformer-Based Techniques
In the evolving field of Intelligent Transportation Systems (ITSs), accurate and reliable traffic prediction is essential in enhancing management and planning capabilities.
Hui-Ting Christine Lin +2 more
doaj +1 more source
A neural network model for short term river flow prediction [PDF]
This paper presents a model using rain gauge and weather radar data to predict the runoff of a small alpine catchment in Austria. The gapless spatial coverage of the radar is important to detect small convective shower cells, but managing such a huge ...
R. Teschl, W. L. Randeu
doaj
To improve the accuracy of ultra-short-term wind power prediction, this paper proposed a model using modified long short-term memory (LSTM) to predict ultra-short-term wind power.
Pei Zhang +3 more
doaj +1 more source
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
A method for foF2 short-term prediction
A method for foF2 short-term prediction with 1–24 hour lead times is proposed. It is based on ΔfoF2 (deviation of hourly foF2 from running median) regression with the previous ΔfoF2 observations and hourly spline-interpolated daily Ap index. An optimum training time interval of 25–30 days, which is close to one solar rotation, has been revealed.
Marín Santos, Diego +2 more
openaire +3 more sources
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
A machine learning model for hub-height short-term wind speed prediction
Accurate short-term wind speed prediction is crucial for maintaining the safe, stable, and efficient operation of wind power systems. We propose a multivariate meteorological data fusion wind prediction network (MFWPN) to study fine-grid vector wind ...
Zongwei Zhang +5 more
semanticscholar +1 more source

