Results 91 to 100 of about 210,556 (289)
Accurate and timely flow prediction is the most significant element for intelligent traffic management systems. However, developing a robust and potential prediction method is a challenge because of the nonlinear characteristics and inherent randomness ...
Arwa Alzughaibi +2 more
doaj +1 more source
The study reports a DNA/RNA heteroduplex hydrogel (SeroPTEN‐CG) that undergoes DNase‐mediated hydrogel‐to‐nanogel transition for spinal cord injury therapy by targeting the serotonergic system, combining 5‐hydroxytryptamine (5‐HT)‐mediated excitability restoration to reactivate dormant interneurons with phosphatase and tensin homolog (PTEN)‐targeted ...
Chunlin Li +19 more
wiley +1 more source
Hybrid piezoelectric scaffolds offer a promising route for Central Nervous System regeneration by combining structural and electrical cues to support neural stem cell growth. This review highlights their potential to overcome current challenges in neural tissue engineering by exploring porous hybrid materials, their biological interactions, and ...
Heather F. Titterton +2 more
wiley +1 more source
Real‐time and accurate short‐term traffic flow prediction can provide a scientific basis for decision making by travellers and traffic management, and alleviate traffic congestion to a certain extent.
Zhiyu Wang +4 more
doaj +1 more source
In order to improve the accuracy of traffic flow prediction and support the dynamic control of road management departments, this paper aims to minimize real-time traffic flow prediction errors.
Zhiyou Liu +3 more
doaj +1 more source
This study describes the fabrication of arrays of luminal tissue constructs for 3D luminal tissue modeling. An oil or media‐filled reservoir between constructs serves as a liquid barrier or bridge to regulate communication between lumens within the array for modeling multi‐tissue interactions in vitro. Abstract Cell‐lined luminal structures are crucial
Mouhita Humayun +9 more
wiley +1 more source
Dynamic Graph Convolution Network with Multi-head Attention for Traffic Flow Prediction
Purposes Traffic flow prediction is crucial for the effective management and operation of urban transportation systems. The flows of different road sections or intersections in a traffic network change dynamically with time, meanwhile the flows of ...
Hanyou DENG +3 more
doaj +1 more source
Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam +7 more
wiley +1 more source
Intelligent Transportation System Using Multi Stream Feature [PDF]
Traffic flow prediction accuracy is very important for intelligent transportation systems (ITS). Many studies have proposed different methods for traffic flow prediction including ARIMA, ANN and SVM.
Thanusree Tulasi +4 more
doaj +1 more source
Predicting subway passenger flows under different traffic conditions
Passenger flow prediction is important for the operation, management, efficiency, and reliability of urban rail transit (subway) system. Here, we employ the large-scale subway smartcard data of Shenzhen, a major city of China, to predict dynamical passenger flows in the subway network.
Ximan Ling +4 more
openaire +3 more sources

