Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack …
Over the last two decades, the integration of big data and deep learning technologies has
demonstrated remarkable effectiveness across various domains of civil engineering, leading …
demonstrated remarkable effectiveness across various domains of civil engineering, leading …
Classifying cardiac arrhythmia from ECG signal using 1D CNN deep learning model
Blood circulation depends critically on electrical activation, where any disturbance in the
orderly pattern of the heart's propagating wave of excitation can lead to arrhythmias …
orderly pattern of the heart's propagating wave of excitation can lead to arrhythmias …
[HTML][HTML] Deep learning for crack detection on masonry façades using limited data and transfer learning
Crack detection in masonry façades is a crucial task for ensuring the safety and longevity of
buildings. However, traditional methods are often time-consuming, expensive, and labour …
buildings. However, traditional methods are often time-consuming, expensive, and labour …
MOD-YOLO: Rethinking the YOLO architecture at the level of feature information and applying it to crack detection
P Su, H Han, M Liu, T Yang, S Liu - Expert Systems with Applications, 2024 - Elsevier
Civil infrastructure plays an important role in daily life. If cracks are not found in time, they
may cause immeasurable losses to people and property. Therefore, timely and accurate …
may cause immeasurable losses to people and property. Therefore, timely and accurate …
Computer-aided detection and classification of monkeypox and chickenpox lesion in human subjects using deep learning framework
Monkeypox is a zoonotic viral disease caused by the monkeypox virus. After its recent
outbreak, it has become clear that a rapid, accurate, and reliable diagnosis may help reduce …
outbreak, it has become clear that a rapid, accurate, and reliable diagnosis may help reduce …
Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review
A cement‐based material that meets the general goals of mechanical properties, workability,
and durability as well as the ever‐increasing demands of environmental sustainability is …
and durability as well as the ever‐increasing demands of environmental sustainability is …
[HTML][HTML] Automated ultrasonic-based diagnosis of concrete compressive damage amidst temperature variations utilizing deep learning
Ultrasonic-based non-destructive testing technologies have been extensively applied for
detection of internal damage in concrete. However, it is vulnerable to environmental …
detection of internal damage in concrete. However, it is vulnerable to environmental …
ssFPN: Scale Sequence (S2) Feature-Based Feature Pyramid Network for Object Detection
Object detection is a fundamental task in computer vision. Over the past several years,
convolutional neural network (CNN)-based object detection models have significantly …
convolutional neural network (CNN)-based object detection models have significantly …
Design of efficient methods for the detection of tomato leaf disease utilizing proposed ensemble CNN model
H Ulutaş, V Aslantaş - Electronics, 2023 - mdpi.com
Early diagnosis of plant diseases is of vital importance since they cause social, ecological,
and economic losses. Therefore, it is highly complex and causes excessive workload and …
and economic losses. Therefore, it is highly complex and causes excessive workload and …
Acoustic emission and artificial intelligence procedure for crack source localization
The acoustic emission (AE) technique is one of the most widely used in the field of structural
monitoring. Its popularity mainly stems from the fact that it belongs to the category of non …
monitoring. Its popularity mainly stems from the fact that it belongs to the category of non …