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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 …
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 …
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 …
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] 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 …
[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 …
[HTML][HTML] Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification
This study explored the performance of ten pre-trained CNN architectures in detecting and
classifying asphalt pavement cracks from images. A comparison of eight optimisation …
classifying asphalt pavement cracks from images. A comparison of eight optimisation …
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 …
Design of efficient methods for the detection of tomato leaf disease utilizing proposed ensemble CNN model
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 …
Transform and deep learning algorithms for the early detection and recognition of tomato leaf disease
MS Alzahrani, FW Alsaade - Agronomy, 2023 - mdpi.com
Plant diseases pose the greatest threat to food supply integrity, and it is a significant
challenge to identify plant diseases in their earliest stages to reduce the potential for …
challenge to identify plant diseases in their earliest stages to reduce the potential for …