[HTML][HTML] Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …
Deep learning-based pedestrian detection in autonomous vehicles: Substantial issues and challenges
In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …
broad influence over society, as they increase passenger safety and convenience, lower fuel …
Surface crack detection using deep learning with shallow CNN architecture for enhanced computation
Surface cracks on the concrete structures are a key indicator of structural safety and
degradation. To ensure the structural health and reliability of the buildings, frequent structure …
degradation. To ensure the structural health and reliability of the buildings, frequent structure …
Investigation of steel frame damage based on computer vision and deep learning
Visual damage inspection of steel frames by eyes alone is time-consuming and
cumbersome; therefore, it produces inconsistent results. Existing computer vision-based …
cumbersome; therefore, it produces inconsistent results. Existing computer vision-based …
Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes
Pedestrian detection (PD) is a vital computer vision (CV) problem that is highly employed in
several real-time applications, namely autonomous driving methods, robotics, and security …
several real-time applications, namely autonomous driving methods, robotics, and security …
Ensemble machine learning-based approach for predicting of FRP–concrete interfacial bonding
Developments in fiber-reinforced polymer (FRP) composite materials have created a huge
impact on civil engineering techniques. Bonding properties of FRP led to its wide usage with …
impact on civil engineering techniques. Bonding properties of FRP led to its wide usage with …
EAD-DNN: Early Alzheimer's disease prediction using deep neural networks
P Thangavel, Y Natarajan, KRS Preethaa - Biomedical Signal Processing …, 2023 - Elsevier
Early Alzheimer's disease (EAD) diagnosis enables individuals to take preventative actions
before irreversible brain damage occurs. Memory and thinking skills get worse in alzheimer …
before irreversible brain damage occurs. Memory and thinking skills get worse in alzheimer …
Monitoring the green evolution of vernacular buildings based on deep learning and multi-temporal remote sensing images
The increasingly mature computer vision (CV) technology represented by convolutional
neural networks (CNN) and available high-resolution remote sensing images (HR-RSIs) …
neural networks (CNN) and available high-resolution remote sensing images (HR-RSIs) …
Rapid post-earthquake structural damage assessment using convolutional neural networks and transfer learning
The adoption of artificial intelligence in post-earthquake inspections and reconnaissance
has received considerable attention in recent years, owing to its exponential increase in …
has received considerable attention in recent years, owing to its exponential increase in …
Robust and fair undersea target detection with automated underwater vehicles for biodiversity data collection
Undersea/subsea data collection via automated underwater vehicles (AUVs) plays an
important role for marine biodiversity research, while it is often much more challenging than …
important role for marine biodiversity research, while it is often much more challenging than …