Automation in architecture, engineering and construction: a scientometric analysis and implications for management
Purpose Many economic, political and socio-cultural events in the 2020s have been strong
headwinds for architecture, engineering and construction (AEC). Nevertheless …
headwinds for architecture, engineering and construction (AEC). Nevertheless …
Image denoising using a compressive sensing approach based on regularization constraints
AE Mahdaoui, A Ouahabi, MS Moulay - Sensors, 2022 - mdpi.com
In remote sensing applications and medical imaging, one of the key points is the acquisition,
real-time preprocessing and storage of information. Due to the large amount of information …
real-time preprocessing and storage of information. Due to the large amount of information …
Particle swarm optimization and two-way fixed-effects analysis of variance for efficient brain tumor segmentation
Simple Summary Segmentation of brain tumor images from magnetic resonance imaging
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …
Strain hardening of polypropylene microfiber reinforced composite based on alkali-activated slag matrix
OM Smirnova, I Menendez Pidal, AV Alekseev… - Materials, 2022 - mdpi.com
A comparative study of the fracture features, strength and deformation properties of pseudo
strain-hardening composites based on alkali-activated slag and Portland cement matrices …
strain-hardening composites based on alkali-activated slag and Portland cement matrices …
Explainable deep learning based ultrasonic guided wave pipe crack identification method
R Tang, S Zhang, W Wu, S Zhang, Z Han - Measurement, 2023 - Elsevier
Structural health monitoring (SHM) is important for the operational safety and stability of
industrial pipeline systems. In this paper, a data-driven and finite-element-based method for …
industrial pipeline systems. In this paper, a data-driven and finite-element-based method for …
Human cutaneous leishmaniasis in north Africa and its threats to public health: A statistical study focused on Djelfa (Algeria)
Cutaneous leishmaniasis, the most common form of leishmaniasis, causes long-term skin
lesions on exposed areas of the skin. It is caused by a protozoan parasite belonging to the …
lesions on exposed areas of the skin. It is caused by a protozoan parasite belonging to the …
An automated image-based multivariant concrete defect recognition using a convolutional neural network with an integrated pooling module
Buildings and infrastructure in congested metropolitan areas are continuously deteriorating.
Various structural flaws such as surface cracks, spalling, delamination, and other defects are …
Various structural flaws such as surface cracks, spalling, delamination, and other defects are …
Machine learning-assisted pattern recognition algorithms for estimating ultimate tensile strength in fused deposition modelled polylactic acid specimens
In this study, we investigate the application of supervised machine learning algorithms for
estimating the Ultimate Tensile Strength (UTS) of Polylactic Acid (PLA) specimens fabricated …
estimating the Ultimate Tensile Strength (UTS) of Polylactic Acid (PLA) specimens fabricated …
Integrating AI in NDE: Techniques, Trends, and Further Directions
E Pérez, CE Ardic, O Çakıroğlu, K Jacob… - arxiv preprint arxiv …, 2024 - arxiv.org
The digital transformation is fundamentally changing our industries, affecting planning,
execution as well as monitoring of production processes in a wide range of application …
execution as well as monitoring of production processes in a wide range of application …
Towards Long-Term Monitoring of the Structural Health of Deep Rock Tunnels with Remote Sensing Techniques
W Frenelus, H Peng - Frattura ed Integrità Strutturale, 2023 - fracturae.com
Due to the substantial need to continuously ensure safe excavations and sustainable
operation of deep engineering structures, structural health monitoring based on remote …
operation of deep engineering structures, structural health monitoring based on remote …