Results 41 to 50 of about 2,255,908 (239)
, 1996 copyright UK Data Service and data collection copyright owner.Road accident statistics are collected from information about personal injury road accidents and their consequent casualties, to a common national standard.
Department of Transport, Road Accident Statistics Branch
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, 1995 copyright UK Data Service and data collection copyright owner.Road accident statistics are collected from information about personal injury road accidents and their consequent casualties, to a common national standard.
Department of Transport, Road Accident Statistics Branch
core +2 more sources
RoadSeg-CD: A Network With Connectivity Array and Direction Map for Road Extraction From SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Road extraction from synthetic aperture radar (SAR) images has attracted much attention in the field of remote sensing image processing. General road extraction algorithms, affected by shadows of buildings and trees, are prone to producing fragmented ...
Fei Gao +4 more
doaj +1 more source
DeepWindow: Sliding Window Based on Deep Learning for Road Extraction From Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The road centerline extraction is the key step of the road network extraction and modeling. The hand-craft feature engineering in the traditional road extraction methods is unstable, which makes the extracted road centerline deviated from the road center
Renbao Lian, Liqin Huang
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Forest/rural road network detection and condition monitoring based on satellite imagery and deep semantic segmentation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesSustainable forest and emergency management require comprehensive data on the forest road network and its condition. This paper presents the final framework of the INFOROAD project (https://inforoad.karteco.gr/), which integrates cutting-edge remote ...
D. Kelesakis +8 more
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Reconstruction Bias U-Net for Road Extraction From Optical Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Automatic road extraction from remote sensing images plays an important role for navigation, intelligent transportation, and road network update, etc. Convolutional neural network (CNN)-based methods have presented many achievements for road extraction ...
Ziyi Chen +5 more
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On-road driving studies to understand why drivers behave as they do at regional rail level crossings [PDF]
, 2013 Improving safety at rail level crossings is an important part of both road and rail safety strategies. While low in number, crashes between vehicles and trains at level crossings are catastrophic events typically involving multiple fatalities and serious
Salmon, P.B. +12 more
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Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Remote SensingRoad extraction from high-resolution remote sensing images has long been a focal and challenging research topic in the field of computer vision. Accurate extraction of road networks holds extensive practical value in various fields, such as urban ...
Ruyi Liu +7 more
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