Automation in architecture, engineering and construction: a scientometric analysis and implications for management

A Klarin, Q **ao - Engineering, Construction and Architectural …, 2024 - emerald.com
Purpose Many economic, political and socio-cultural events in the 2020s have been strong
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 …

Particle swarm optimization and two-way fixed-effects analysis of variance for efficient brain tumor segmentation

N Atia, A Benzaoui, S Jacques, M Hamiane, KE Kourd… - Cancers, 2022 - mdpi.com
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 …

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 …

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 …

Human cutaneous leishmaniasis in north Africa and its threats to public health: A statistical study focused on Djelfa (Algeria)

F Messaoudene, S Boukraa, SC Boubidi, A Guerzou… - Microorganisms, 2023 - mdpi.com
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 …

An automated image-based multivariant concrete defect recognition using a convolutional neural network with an integrated pooling module

B Kim, SW Choi, G Hu, DE Lee, RO Serfa Juan - Sensors, 2022 - mdpi.com
Buildings and infrastructure in congested metropolitan areas are continuously deteriorating.
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

A Mishra, VS Jatti, E Messele Sefene, AV Jatti… - Materials …, 2024 - Taylor & Francis
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 …

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 …

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 …