Results 51 to 60 of about 969,779 (317)

Review of Machine-Learning Techniques Applied to Structural Health Monitoring Systems for Building and Bridge Structures

Applied Sciences, 2022
This review identifies current machine-learning algorithms implemented in building structural health monitoring systems and their success in determining the level of damage in a hierarchical classification.
Alain Gómez-Cabrera, P. J. Escamilla-Ambrosio   +1 more
semanticscholar   +1 more source

Circulating histones as clinical biomarkers in critically ill conditions

FEBS Letters, EarlyView.
Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez, Juan Carlos Ruiz‐Rodríguez, Ricard Ferrer, Raquel Durá, Antonio Artigas, Iván Bajaña, David Bolado López de Andujar, Irene Cánovas‐Cervera, Adrián Ceccato, Luis Chiscano‐Camón, Elena Climent‐Martinez, Georgia García Fernández, Gemma Goma, Verónica Monforte, Beatriz Quevedo‐Sánchez, Adolf Ruiz‐Sanmartín, Antonio Sierra‐Rivera, Nieves Carbonell Monleón   +17 more
wiley   +1 more source

A GPR Imagery-Based Real-Time Algorithm for Tunnel Lining Void Identification Using Improved YOLOv8

Buildings
Tunnel lining voids, a common latent defect induced by the coupling effects of complex geological, environmental, and load factors, pose severe threats to operational and personnel safety. Traditional detection methods relying on Ground-Penetrating Radar
Yujiao Wu, Fei Xu, Liming Zhou, Hemin Zheng, Yonghai He, Yichen Lian   +5 more
doaj   +1 more source

Machine learning‐based automatic operational modal analysis: A structural health monitoring application to masonry arch bridges

Structural Control & Health Monitoring, 2022
Structural health monitoring (SHM) is one of the main research topics in civil, mechanical and aerospace engineering. In this regard, modal parameters and their trends over time can be used as features and indicators of damage occurrence and growth ...
M. Civera, Vezio Mugnaini, L. Zanotti Fragonara   +2 more
semanticscholar   +1 more source

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

FEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu, Huseyn Babayev, Ismail Ogulur, Sena Ardicli, Yagiz Pat, Duygu Yazici, Bingjie Zhao, Lihong Chang, Xiaoqing Liu, Paolo D'Avino, Manru Li, Ceren Biçer, Fatma Hacer Kurtoğlu Babayev, Raja Dhir, Kari C. Nadeau, Marie‐Charlotte Brüggen, Mubeccel Akdis, Cezmi A. Akdis   +17 more
wiley   +1 more source

Ultrasonic Guided Waves-Based Monitoring of Rail Head: Laboratory and Field Tests

Advances in Civil Engineering, 2010
Recent train accidents have reaffirmed the need for developing a rail defect detection system more effective than that currently used. One of the most promising techniques in rail inspection is the use of ultrasonic guided waves and noncontact probes.
Piervincenzo Rizzo, Marcello Cammarata, Ivan Bartoli, Francesco Lanza di Scalea, Salvatore Salamone, Stefano Coccia, Robert Phillips   +6 more
doaj   +1 more source

Guided Wave-Convolutional Neural Network Based Fatigue Crack Diagnosis of Aircraft Structures

Sensors, 2019
Fatigue crack diagnosis (FCD) is of great significance for ensuring safe operation, prolonging service time and reducing maintenance cost in aircrafts and many other safety-critical systems.
Liang Xu, Shenfang Yuan, Jian Chen, Yuanqiang Ren   +3 more
doaj   +1 more source

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review

Italian National Conference on Sensors, 2020
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to recent technological advancements in sensors, as well as high-speed internet and cloud-based computation.
Mohsen Azimi, A. Eslamlou, G. Pekcan
semanticscholar   +1 more source

An Overview: The Application of Vibration-Based Techniques in Bridge Structural Health Monitoring

International Journal of Concrete Structures and Materials, 2022
Structural health monitoring (SHM) systems have been developed to evaluate structural responses to extreme events such as natural and man-made hazards.
Siti Shahirah Saidin, Adiza Jamadin, Sakhiah Abdul Kudus, Nor Azrita Mohd Amin, M. A. Anuar   +4 more
semanticscholar   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source