Results 51 to 60 of about 359,562 (287)

Traffic prediction with embeddings

, 2023
Forecasting traffic flow is a critical task in transportation and community transport. It involves predicting traffic speed in a road network using historical data. To do this, sensors measure and record the traffic speed on the chosen roads. However, this task is challenging because the sensors’ dependencies cannot be explained only by their relative ...
openaire   +1 more source

Survivin and Aurora Kinase A control cell fate decisions during mitosis

Molecular Oncology, EarlyView.
Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir, Shalitha Wickrama Arachchige, Sally P. Wheatley   +2 more
wiley   +1 more source

Multi-Section Traffic Flow Prediction Based on MLR-LSTM Neural Network

Sensors, 2022
As the aggravation of road congestion leads to frequent traffic crashes, it is necessary to relieve traffic pressure through traffic flow prediction.
Ruizhe Shi, Lijing Du
doaj   +1 more source

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source

Traffic Prediction with Self-Supervised Learning: A Heterogeneity-Aware Model for Urban Traffic Flow Prediction Based on Self-Supervised Learning

Mathematics
Accurate traffic prediction is pivotal when constructing intelligent cities to enhance urban mobility and to efficiently manage traffic flows. Traditional deep learning-based traffic prediction models primarily focus on capturing spatial and temporal ...
Min Gao, Yingmei Wei, Yuxiang Xie, Yitong Zhang   +3 more
doaj   +1 more source

Effect of Time Intervals on K-nearest Neighbors Model for Short-term Traffic Flow Prediction

Promet (Zagreb), 2019
The accuracy and reliability in predicting short-term traffic flow is important. The K-nearest neighbors (K-NN) approach has been widely used as a nonparametric model for traffic flow prediction.
Zhao Liu, Xiao Qin, Wei Huang, Xuanbing Zhu, Yun Wei, Jinde Cao, Jianhua Guo   +6 more
doaj   +1 more source

Traffic fatalities prediction based on support vector machine [PDF]

Archives of Transport, 2016
To effectively predict traffic fatalities and promote the friendly development of transportation, a prediction model of traffic fatalities is established based on support vector machine (SVM).
Ting Li, Yunong Yang, Yonghui Wang, Chao Chen, Jinbao Yao   +4 more
doaj   +1 more source

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

, 2019
To safely and efficiently navigate in complex urban traffic, autonomous vehicles must make responsible predictions in relation to surrounding traffic-agents (vehicles, bicycles, pedestrians, etc.).
Ma, Yuexin, Manocha, Dinesh, Wang, Wenping, Yang, Ruigang, Zhang, Sibo, Zhu, Xinge   +5 more
core   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source

A Wavelet Analysis-Based Dynamic Prediction Algorithm to Network Traffic

ITM Web of Conferences, 2016
Network traffic is a significantly important parameter for network traffic engineering, while it holds highly dynamic nature in the network. Accordingly, it is difficult and impossible to directly predict traffic amount of end-to-end flows.
Meng Fan-Bo, Zhao Hong-Hao, Zhao Si-Hang, Zhao Si-Wen, Lin Zhong-Qiu   +4 more
doaj   +1 more source