Search
Search Results
-
Knowledge Graph for Identifying Geological Disasters by Integrating Computer Vision with Ontology
The occurrence of geological disasters can have a large impact on urban safety. Protecting people’s safety is the most important concern when...
-
Integrating distributed acoustic sensing and computer vision for real-time seismic location of landslides and rockfalls along linear infrastructure
Distributed acoustic sensing (DAS) using fiber-optic cables has potential for landslide and rockfall monitoring along linear infrastructure but faces...
-
A framework for computer vision-based health monitoring of a truss structure subjected to unknown excitations
Computer vision (CV) methods for measurement of structural vibration are less expensive, and their application is more straightforward than methods...
-
Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision
Timely and accurately estimating ponding levels during urban floods is the basis of effective disaster prevention and mitigation. Road surveillance...
-
-
A review of the research and application of deep learning-based computer vision in structural damage detection
Damage detection is a key procedure in maintenance throughout structures’ life cycles and post-disaster loss assessment. Due to the complex types of...
-
A hyperspectral unmixing model using convolutional vision transformer
Hyperspectral imaging technology has impacted computer vision and remote sensing applications. By capturing continuous spectral information, fine...
-
RETRACTED ARTICLE: Underwater image segmentation based on computer vision and research on recognition algorithm
Due to the continuous growth of the world’s population, the development and utilization of marine resources have received great attention. At...
-
Robust vision-based displacement measurement and acceleration estimation using RANSAC and Kalman filter
Computer vision (CV)-based techniques have been widely used in the field of structural health monitoring (SHM) owing to ease of installation and...
-
Automated determination of interfacial tension and contact angle using computer vision for oil field applications
Contact angle and surface tension are the two most widely used surface analysis approaches for reservoir fluid characterization in petroleum...
-
Vision-based fatigue crack detection using global motion compensation and video feature tracking
Fatigue cracks that develop in civil infrastructure such as steel bridges due to repetitive loads pose a major threat to structural integrity....
-
Vision-based multi-level synthetical evaluation of seismic damage for RC structural components: a multi-task learning approach
Recent studies for computer vision and deep learning-based, post-earthquake inspections on RC structures mainly perform well for specific tasks,...
-
Computer vision-based automated stiffness loss estimation for seismically damaged non-ductile reinforced concrete moment frames
A novel automated image processing-based methodology is proposed for quantification of stiffness degradation in non-ductile reinforced concrete...
-
Enabling cognitive and autonomous infrastructure in extreme events through computer vision
As advent by the continuous inertia toward integrating artificial intelligence into daily operations, it is a matter of time before artificial...
-
Lithology identification in carbonate thin section images of the Brazilian pre-salt reservoirs by the computational vision and deep learning
Currently, the computer vision area, which represents one of the subfields of artificial intelligence and machine learning, has been widely used to...
-
Improving satellite image classification accuracy using GAN-based data augmentation and vision transformers
Deep learning (DL) algorithms have shown great potential in classifying satellite imagery but require large amounts of labeled data to make accurate...
-
Precision map** through the stereo vision and geometric transformations in unknown environments
Geodetic techniques for surveying and rapid map** need to be revisited due to the present progress on satellite, sensor, and geospatial...
-
Beyond the surface: a sco** review of vision-based underwater experience technologies and user studies
Exploring the underwater world presents significant physical and financial barriers. Telepresence technologies offer a potential solution by a...
-
Synthesizing the performance of deep learning in vision-based pavement distress detection
Deep learning (DL) has proven its efficacy in extracting useful distress information from image-based data of infrastructure assets, such as...
