Results 81 to 90 of about 9,741 (295)
Automatic Segmentation and Enhancement of Pavement Cracks Based on 3D Pavement Images
Journal of Advanced Transportation, 2019 Pavement cracking is a significant symptom of pavement deterioration and deficiency. Conventional manual inspections of road condition are gradually replaced by novel automated inspection systems.
Baoxian Li +3 more
doaj +1 more source
Implementing textural features on GPUs for improved real-time pavement distress detection [PDF]
, 2016 The condition of municipal roads has deteriorated considerably in recent years, leading to large scale pavement distress such as cracks or potholes. In order to enable road maintenance, pavement distress should be timely detected.
C Fang +16 more
core +2 more sources
Advanced Functional Materials, EarlyView.This work demonstrates the successful integration of a phenanthroline‐based 2D COF with MnI catalytic sites into a catholyte‐free membrane‐electrode‐assembly cell for CO2 electroreduction. The crystalline COF actively suppresses Mn⁰–Mn⁰ dimerization, achieving a turnover frequency of 617 h⁻¹ at 2.8 V (full‐cell potential), and enabling stable operation.
Laura Spies +8 more
wiley +1 more source
Convolutional Neural Network-Based Pavement Crack Segmentation Using Pyramid Attention Network
IEEE Access, 2020 Cracks are the most common road pavement damage. Due to the propagation of cracks, the detection of early cracks has great practical significance. Traditional manual crack detection is extremely time-consuming and labor-intensive. Researchers have turned
Wenjun Wang, Chao Su
doaj +1 more source
Contributions to predicting contaminant leaching from secondary materials used in roads [PDF]
, 2004 Slags, coal ashes, and other secondary materials can be used in road construction. Both traditional and secondary materials used in roads may contain contaminants that may leach and pollute the groundwater.
Apul, Defne S
core +2 more sources
Evaluation of the techniques to mitigate early shrinkage cracking through an image analysis methodology [PDF]
, 2016 This is the accepted version of the following article: [Ruiz-Ripoll, L., Barragán, B. E., Moro, S., and Turmo, J. (2016) Evaluation of the Techniques to Mitigate Early Shrinkage Cracking through an Image Analysis Methodology. Strain, 52: 492–502. doi: 10.
Barragán, Bryan Erick +3 more
core +2 more sources
Advanced Functional Materials, EarlyView.Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
e-Journal of Nondestructive TestingAddressing age-related deterioration of road bridges requires efficient crack detection methods to replace traditional visual inspections. This study proposes a deep learning-based approach for detecting pavement cracks in RC bridges using UAV-captured ...
Hiromu Tanaka +2 more
doaj +1 more source
Autonomous Robotic System using Non-Destructive Evaluation methods for Bridge Deck Inspection
, 2017 Bridge condition assessment is important to maintain the quality of highway roads for public transport. Bridge deterioration with time is inevitable due to aging material, environmental wear and in some cases, inadequate maintenance.
Berendsen, Tony +4 more
core +1 more source
Fast Segmentation of Industrial Quality Pavement Images using Laws Texture Energy Measures and k-Means Clustering [PDF]
, 2016 Thousands of pavement images are collected by road authorities daily for condition monitoring surveys. These images typically have intensity variations and texture non-uniformities making their segmentation challenging. The automated segmentation of such
Kamal, K +5 more
core +1 more source