Results 51 to 60 of about 11,119,065 (317)

Short-Term Traffic Flow Prediction Based on CNN-BILSTM with Multicomponent Information

Applied Sciences, 2022
Problem definition: The intelligent transportation system (ITS) plays a vital role in the construction of smart cities. For the past few years, traffic flow prediction has been a hot study topic in the field of transportation.
W. zhuang, Yongbo Cao
semanticscholar   +1 more source

Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting

Journal of Mathematics, 2023
Traffic flow prediction is the basis of dynamic strategies and applications of intelligent transportation systems (ITS). Accurate traffic flow prediction is of great practical significance in alleviating road congestion and reducing urban road traffic ...
Ping Lou, Zihao Wu, Jiwei Hu, Quan Liu, Qin Wei   +4 more
doaj   +1 more source

Dynamic short-term crash risk prediction from traffic conflicts at signalized intersections with emerging mixed traffic flow: A novel conflict indicator.

Accident Analysis and Prevention
Dynamic short-term crash risk prediction derived from traffic conflicts can provide significant support for proactive safety management at signalized intersections.
Chuan-Yun Fu, Zhaoyou Lu, Huahua Liu, Ayinigeer Wumaierjiang   +3 more
semanticscholar   +1 more source

Short-Term Traffic Flow Prediction Based on the Optimization Study of Initial Weights of the Attention Mechanism

Sustainability, 2023
Traffic-flow prediction plays an important role in the construction of intelligent transportation systems (ITS). So, in order to improve the accuracy of short-term traffic flow prediction, a prediction model (GWO-attention-LSTM) based on the combination ...
Tianhe Lan, Xiao-Jing Zhang, Da-Yi Qu, Yufeng Yang, Yicheng Chen   +4 more
semanticscholar   +1 more source

Short-term prediction of traffic flow using a binary neural network [PDF]

Neural Computing and Applications, 2014
This paper introduces a binary neural network-based prediction algorithm incorporating both spatial and temporal characteristics into the prediction process. The algorithm is used to predict short-term traffic flow by combining information from multiple traffic sensors (spatial lag) and time-series prediction (temporal lag).
Victoria J. Hodge, Rajesh Krishnan, Jim Austin, John W. Polak, Thomas W. Jackson   +4 more
openaire   +2 more sources

The microbiome in human skin aging

FEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana, Cornelia Wiegand, Omid Omrani, Mario Fabri   +3 more
wiley   +1 more source

Short-time prediction for traffic flow based on wavelet de-noising and LSTM model

Journal of Measurement Science and Instrumentation, 2021
Aiming at the problem that some existing traffic flow prediction models are only for a single road segment and the model input data are not pre-processed, a heuristic threshold algorithm is used to de-noise the original traffic flow data after wavelet ...
WANG Qingrong, LI Tongwei, ZHU Changfeng
doaj  

Prediction of Short-Term Traffic Variables Using Intelligent Swarm-Based Neural Networks

, 2013
This brief presents an innovative algorithm integrated with particle swarm optimization and artificial neural networks to develop short-term traffic flow predictors, which are intended to provide traffic flow forecasting information for traffic ...
Chan, Kit Yan, Dillon, Tharam, Singh, Jaipal, Chang, Elizabeth   +3 more
core   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

FEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee, Mingming Tong, Anna L. Gloyn   +2 more
wiley   +1 more source

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise, Tiziano Mazza, Raffaella Scanga, Lara Console, Michele Galluccio, Cesare Indiveri   +5 more
wiley   +1 more source