Results 21 to 30 of about 689 (246)
British Educational Research Journal, EarlyView., 2023 Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð +3 more
wiley +1 more source
Distress Detection in Road Pavements Using Neural Networks
, 2021 Combining Computer Vision (CV) and Anomaly Detection (AD), there is a convergence of methodologies using convolutional layers in AD architectures, which we consider an innovation in the field. The main goal of this work is to present different Artificial Neural Networks (ANN) architectures, applying them to distress detection in road pavements and ...
Luís Filipe Gomes +2 more
openaire +1 more source
Pavement Distress Detection Using Three-Dimension Ground Penetrating Radar and Deep Learning
Applied Sciences, 2022 Three-dimensional ground penetrating radar (3D GPR) is a non-destructive examination technology for pavement distress detection, for which its horizontal plane images provide a unique perspective for the task.
Jiangang Yang +4 more
doaj +1 more source
CoRR, 2021 Road transport infrastructure is critical for safe, fast, economical, and reliable mobility within the whole country that is conducive to a productive society. However, roads tend to deteriorate over time due to natural causes in the environment and repeated traffic loads.
openaire +2 more sources
Journal of Infrastructure Preservation and Resilience, 2023 The purpose of the paper is to improve the efficiency of vehicle based sensing technology in highway pavement condition assessment by evaluating the effect of four factors (sensor placement, pavement temperature, drive speed, and threshold for pavement ...
Dada Zhang +2 more
doaj +1 more source
Recognition of the Typical Distress in Concrete Pavement Based on GPR and 1D-CNN
Remote Sensing, 2021 Ground-penetrating radar (GPR) signal recognition depends much on manual feature extraction. However, the complexity of radar detection signals leads to conventional intelligent algorithms lacking sufficient flexibility in concrete pavement detection ...
Juncai Xu, Jingkui Zhang, Weigang Sun
doaj +1 more source
Automated Pavement Distress Detection, Classification and Measurement: A Review [PDF]
International Journal of Advanced Computer Science and Applications, 2021 Road surface distress is an unavoidable situation due to age, vehicles overloading, temperature changes, etc. In the beginning, pavement maintenance actions took only place after having too much pavement damage, which leads to costly corrective actions.
Brahim Benmhahe, Jihane Alami Chentoufi
openaire +1 more source
From manual to automatic pavement distress detection and classification
2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017 Detection and classification of distresses is a fundamental activity in the road pavement management. Even in the early stages of deterioration, road pavement needs to be monitored to identify problems, evaluating the actual conditions and predicting what the future conditions will be.
Cafiso, S. +3 more
openaire +3 more sources
Remote Sensing, 2016 Roadway pavement surface distress information is critical for effective pavement asset management, and subsequently, transportation management agencies at all levels (i.e., federal, state, and local) dedicate a large amount of time and money to routinely
Su Zhang +3 more
doaj +1 more source
An Automated Method for Pavement Surface Distress Evaluation [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesEvaluation of surface distress is an important aspect of pavement management. The most common practice to assess surface distress is to develop a pavement condition index (PCI), with ASTM-PCI being the most widely used in evaluating flexible pavements ...
D. Satheesan +3 more
doaj +1 more source