Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack …

K Sarkar, A Shiuly, KG Dhal - Construction and Building Materials, 2024 - Elsevier
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 …

Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review

R Kumar, B Rai, P Samui - Structural Concrete, 2024 - Wiley Online Library
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 …

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 …

Classifying cardiac arrhythmia from ECG signal using 1D CNN deep learning model

AA Ahmed, W Ali, TAA Abdullah, SJ Malebary - Mathematics, 2023 - mdpi.com
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 …

[HTML][HTML] Automated ultrasonic-based diagnosis of concrete compressive damage amidst temperature variations utilizing deep learning

L Wang, S Yi, Y Yu, C Gao, B Samali - Mechanical Systems and Signal …, 2024 - Elsevier
Ultrasonic-based non-destructive testing technologies have been extensively applied for
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

S Katsigiannis, S Seyedzadeh, A Agapiou… - Journal of Building …, 2023 - Elsevier
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 …

[HTML][HTML] Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification

S Matarneh, F Elghaish, FP Rahimian… - Automation in …, 2024 - Elsevier
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 …

Computer-aided detection and classification of monkeypox and chickenpox lesion in human subjects using deep learning framework

D Uzun Ozsahin, MT Mustapha, B Uzun, B Duwa… - Diagnostics, 2023 - mdpi.com
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 …

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 …

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 …