Results 31 to 40 of about 1,128,066 (300)
Kaggle Wikipedia Web Traffic Weekly Dataset
, 2020 This is the aggregated version of the daily dataset used in the Kaggle Wikipedia Web Traffic forecasting competition. It contains 145063 time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-05,
Webb, Geoff +2 more
core +1 more source
Traffic forecasting with missing data via low rank dynamic mode decomposition of tensor
IET Intelligent Transport Systems, 2022 Traffic forecasting is an important part in realising intelligent traffic management, which helps traffic controllers and travellers make effective decisions. However, traffic forecasting accuracy is often affected by missing traffic data due to hardware
Xinyu Zhang +4 more
doaj +1 more source
Soil Trafficability Forecasting
Open Journal of Forestry, 2019 This article introduces and evaluates a Soil Trafficability Model (STRAM) designed to estimate and forecast potential rutting depth on forest soils due to heavy machine traffic. This approach was developed within the wood-forwarding context of four harvest blocks in Northern and Central New Brunswick.
Marie-France Jones, Paul Arp
openaire +2 more sources
Forecasting traffic congestion status in terminal areas based on support vector machine
Advances in Mechanical Engineering, 2016 This article researches on a traffic congestion status forecasting method to improve the real-time monitoring and controlling of air traffic in terminal areas.
Hong-hai Zhang +2 more
doaj +1 more source
Promet (Zagreb), 2018 It is critical to implement accurate short-term traffic forecasting in traffic management and control applications. This paper proposes a hybrid forecasting method based on neural networks combined with the K-nearest neighbor (K-NN) method for short-term
Zhao Liu +4 more
doaj +1 more source
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
IEEE Access, 2021 Traffic forecasting is a fundamental and challenging task in the field of intelligent transportation. Accurate forecasting not only depends on the historical traffic flow information but also needs to consider the influence of a variety of external ...
Jiawei Zhu +5 more
doaj +1 more source
Hybrid Extreme Learning for Reliable Short-Term Traffic Flow Forecasting
MathematicsReliable forecasting of short-term traffic flow is an essential component of modern intelligent transport systems. However, existing methods fail to deal with the non-linear nature of short-term traffic flow, often making the forecasting unreliable ...
Huayuan Chen +5 more
doaj +1 more source
IEEE Access, 2018 Short-term traffic state forecasting is critical for real-time traffic control, but due to its complexity and its nonlinear nature, it is difficult to obtain a high degree of precision. The “k-nearest neighbors”model has been widely used to
Ziyi Su +5 more
doaj +1 more source
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source