An overview of challenges associated with automatic detection of concrete cracks in the presence of shadows
M Pal, P Palevičius, M Landauskas, U Orinaitė… - Applied Sciences, 2021 - mdpi.com
Detection and assessment of cracks in civil engineering structures such as roads, bridges,
dams and pipelines are crucial tasks for maintaining the safety and cost-effectiveness of …
dams and pipelines are crucial tasks for maintaining the safety and cost-effectiveness of …
Cracked concrete surface classification in low-resolution images using a convolutional neural network
Evaluating the quality of concrete structures relies significantly on detecting cracks, as they
impact the safety, usability, and longevity of the structure. Cracks appearing on the concrete …
impact the safety, usability, and longevity of the structure. Cracks appearing on the concrete …
Automatic detection of cracks on concrete surfaces in the presence of shadows
P Palevičius, M Pal, M Landauskas, U Orinaitė… - Sensors, 2022 - mdpi.com
Deep learning-based methods, especially convolutional neural networks, have been
developed to automatically process the images of concrete surfaces for crack identification …
developed to automatically process the images of concrete surfaces for crack identification …
Low-resolution image classification of cracked concrete surface using decision tree technique
Cracks are essential for assessing the quality of concrete structures since they influence the
structure's safety, application, and durability. Cracks on the concrete surface are one of the …
structure's safety, application, and durability. Cracks on the concrete surface are one of the …
A method for detecting pathologies in concrete structures using deep neural networks
Pathologies in concrete structures, such as cracks, splintering, efflorescence, corrosion
spots, and exposed steel bars, can be visually evidenced on the concrete surface. This …
spots, and exposed steel bars, can be visually evidenced on the concrete surface. This …
An efficient modeling based on XGBoost and SVM algorithms to predict crop yield
GS Mallikarjuna Rao, S Dangeti… - Advances in Data Science …, 2022 - Springer
India is an agricultural country; agriculture is known as the backbone of the Indian economy,
where more than 60°/c of the Indian population depend on agriculture for their living. Crop …
where more than 60°/c of the Indian population depend on agriculture for their living. Crop …
A survey on surface crack detection in concretes using traditional, image processing, machine learning, and deep learning techniques
V Vijayan, CM Joy, S Shailesh - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Concrete surface cracks are the first signs of structural deterioration that is crucial for repair,
as well as constant exposure that can result in structural health and durability, so it should …
as well as constant exposure that can result in structural health and durability, so it should …
A One-Step Methodology for Identifying Concrete Pathologies Using Neural Networks—Using YOLO v8 and Dataset Review
Pathologies in concrete structures can be visually evidenced on the concrete surface, such
as by fissures or cracks, fragmentation of part of the concrete, concrete efflorescence …
as by fissures or cracks, fragmentation of part of the concrete, concrete efflorescence …
An Effective Crack Identification in Civil Infrastructure with IoT and Improved Convolutional Neural Network
S Yoganand, S Chithra - International Journal of Structural Stability …, 2022 - World Scientific
Crack identification of buildings using the Internet of things (IoT) is done by continuously
monitoring the building structures that provide an early indication of cracks in buildings. The …
monitoring the building structures that provide an early indication of cracks in buildings. The …
Computer Vision-Based Alert System to Detect Fatigue in Vehicle Drivers
The most prevailing problem around the world is the increasing number of road mishaps.
The number of lives lost on road is much more than any other disease and disaster …
The number of lives lost on road is much more than any other disease and disaster …