Structural health monitoring of civil engineering structures by using the internet of things: A review
Structural health monitoring (SHM) and damage assessment of civil engineering
infrastructure are complex tasks. Structural health and strength of structures are influenced …
infrastructure are complex tasks. Structural health and strength of structures are influenced …
Low-power wide-area networks: A broad overview of its different aspects
Low-power wide-area networks (LPWANs) are gaining popularity in the research community
due to their low power consumption, low cost, and wide geographical coverage. LPWAN …
due to their low power consumption, low cost, and wide geographical coverage. LPWAN …
Machine learning methods in damage prediction of masonry development exposed to the industrial environment of mines
This paper presents the results of comparative studies on the implementation of machine
learning methods in the damage intensity assessment of masonry buildings. The research …
learning methods in the damage intensity assessment of masonry buildings. The research …
Image-based monitoring of cracks: Effectiveness analysis of an open-source machine learning-assisted procedure
L Parente, E Falvo, C Castagnetti, F Grassi… - Journal of …, 2022 - mdpi.com
The proper inspection of a cracks pattern over time is a critical diagnosis step to provide a
thorough knowledge of the health state of a structure. When monitoring cracks propagating …
thorough knowledge of the health state of a structure. When monitoring cracks propagating …
A general framework for supervised structural health monitoring and sensor output validation mitigating data imbalance with generative adversarial networks …
MH Soleimani-Babakamali… - Structural Health …, 2022 - journals.sagepub.com
This study proposes a novelty-classification framework that applies to structural health
monitoring (SHM) and sensor output validation (SOV) problems. The proposed framework …
monitoring (SHM) and sensor output validation (SOV) problems. The proposed framework …
Seamless integration of RESTful web services with the web of things
The chaotic growth of the Internet of Things (IoT) generated an unprecedented fragmented
landscape, each solution adopting its specific IoT interfaces, data models, protocols, and …
landscape, each solution adopting its specific IoT interfaces, data models, protocols, and …
An evaluation of machine learning algorithms in an experimental structural health monitoring system incorporating lora iot connectivity
A Tahat, A Al-Zaben, LS El-Deen… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) offers dynamic mechanisms and methodologies for a broad
number of practical applications by virtue of its integrated powerful advantages …
number of practical applications by virtue of its integrated powerful advantages …
Development of Raspberry Pi 4 B and 3 B+ Micro-Kubernetes Cluster and IoT System for Mosquito Research Applications
Detecting infected female mosquitoes can be vital when they transmit harmful diseases such
as dengue, malaria, and others. Infected mosquitoes can lay hundreds of eggs in breeding …
as dengue, malaria, and others. Infected mosquitoes can lay hundreds of eggs in breeding …
Heterogeneous federated learning on a graph
Federated learning, where algorithms are trained across multiple decentralized devices
without sharing local data, is increasingly popular in distributed machine learning practice …
without sharing local data, is increasingly popular in distributed machine learning practice …
Toward a general novelty detection framework in structural health monitoring; challenges and opportunities in deep learning
MH Soleimani-Babakamali - 2022 - vtechworks.lib.vt.edu
Structural health monitoring (SHM) is an anomaly detection process. Data-driven SHM has
gained much attention compared to the model-based strategy, specifically with the current …
gained much attention compared to the model-based strategy, specifically with the current …