Results 31 to 40 of about 35,581 (286)
Deep Learning-Based Semantic Segmentation Methods for Pavement Cracks
As road mileage continues to expand, the number of disasters caused by expanding pavement cracks is increasing. Two main methods, image processing and deep learning, are used to detect these cracks to improve the efficiency and quality of pavement crack ...
Yu Zhang, Xin Gao, Hanzhong Zhang
doaj +1 more source
HIGHWAY AND AIRPORT RUNWAY PAVEMENT INSPECTION USING MOBILE LiDAR [PDF]
With an ever-increasing network of thousands of miles of pavement laid out over highways, road networks, and airport runways, their continuous monitoring is a task of utmost importance to public agencies responsible for their maintenance.
R. Ravi, D. Bullock, A. Habib
doaj +1 more source
Roads have a very important role in human life. For the present and the future, in the era of industrialization, trade and public transportation, transportation of goods and services.
Sartika Nisumanti +2 more
doaj +1 more source
Pavement Cracking Detection using an Anisotropy Measurement [PDF]
Automatic pavement cracking detection is a part of road maintenance and rehabilitation strategies. Cracks detection is one of the main features used by road authorities to manage efficiently its networks. Different systems are available to perform road analysis. We give a short description of some of them. Apparatus which was used to provide our images
Nguyen, Tien Sy +4 more
openaire +2 more sources
OBJECT-BASED AND SUPERVISED DETECTION OF POTHOLES AND CRACKS FROM THE PAVEMENT IMAGES ACQUIRED BY UAV [PDF]
Roads are the basic element of land transportation system. After construction, the quality of road will decrease because of the aging and deterioration of the road surface.
Y. Pan +5 more
doaj +1 more source
Airborne Hyperspectral Imaging for Mapping of Pavement Cracks on Malaysian Highways [PDF]
Highway development and the increase of multiple modes of transportation have encourage the needs of highway management and maintenance parallel to a developed country.
Jusoff, Kamaruzaman, Ya'acob, Norsuzila
core
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
Crack is one of the most common road distresses which may pose road safety hazards. Generally, crack detection is performed by either certified inspectors or structural engineers. This task is, however, time-consuming, subjective and labor-intensive.
Bocus, Mohammud Junaid +7 more
core +1 more source
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Top-down cracking in Italian motorway pavements: A case study
Top-down cracking (TDC) is a distress affecting asphalt pavements and consists of longitudinal cracks that initiate on the pavement surface and propagate downwards. In general, TDC is more critical in the case of thick pavements with open-graded friction
Lorenzo Paolo Ingrassia +3 more
doaj +1 more source
Performance Evaluation of Open Graded Base Course with Doweled and Non-Doweled Transverse Joints [PDF]
The objectives of this study were to investigate the performance of 20-year old doweled/non-doweled and dense-graded/permeable base test sections on three concrete pavement segments in Wisconsin: USH 18/151 in Iowa and Dane counties, STH 29 in Brown ...
Crovetti, James +2 more
core +1 more source

