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From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods
Owing to recent advancements in sensor technology, data mining, Machine Learning (ML)
and cloud computation, Structural Health Monitoring (SHM) based on a data-driven …
and cloud computation, Structural Health Monitoring (SHM) based on a data-driven …
[HTML][HTML] AIoT-informed digital twin communication for bridge maintenance
Y Gao, H Li, G ** Study
Federated learning has emerged as a promising approach for collaborative model training
across distributed devices. Federated learning faces challenges such as Non-Independent …
across distributed devices. Federated learning faces challenges such as Non-Independent …
Privacy-preserving culvert predictive models: A federated learning approach
In recent years, transportation agencies have shown a growing interest in the adoption of
machine learning (ML) models as a means to improve the efficiency of their infrastructure …
machine learning (ML) models as a means to improve the efficiency of their infrastructure …
Energy-efficient and privacy-preserved incentive mechanism for mobile edge computing-assisted federated learning in healthcare system
Recent advancements in the Internet of Medical Things (IoMT) have significantly influenced
the development of smart healthcare systems. Mobile edge computing (MEC)-assisted …
the development of smart healthcare systems. Mobile edge computing (MEC)-assisted …
A hybrid wavelet-deep learning approach for vibration-based damage detection in monopile offshore structures considering soil interaction
Structural health monitoring (SHM) is crucial in the early stage of damage formation for the
life-cycle service of offshore structures. The influence of soils on vibration-based damage …
life-cycle service of offshore structures. The influence of soils on vibration-based damage …
[HTML][HTML] RETRACTED: Enhancing Data Quality Management in Structural Health Monitoring through Irregular Time-Series Data Anomaly Detection Using IoT Sensors
J Cho, KJ Lim, J Kim, Y Shin, YS Park, J Yeon - Buildings, 2024 - mdpi.com
The importance of monitoring in assessing structural safety and durability continues to grow.
With recent technological advancements, Internet of Things (IoT) sensors have garnered …
With recent technological advancements, Internet of Things (IoT) sensors have garnered …
-FedGAN: Balanced Bi-directional Federated GAN
Abstract In Federated Learning (FL), a shared model is learned across dispersive clients
each of which often has small and heterogeneous data. As such, datasets in FL setting may …
each of which often has small and heterogeneous data. As such, datasets in FL setting may …
Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
We suggest a multilevel model, to represent aggregate train-passing events from the
Staffordshire bridge monitoring system. We formulate a combined model from simple units …
Staffordshire bridge monitoring system. We formulate a combined model from simple units …
The Performance Analysis of Federated Learning Methods for IoT with Big Data
ML that creates a global framework by gathering knowledge from a number of different
dispersed edge clients. FL allows on-device training, keeps client information in private, and …
dispersed edge clients. FL allows on-device training, keeps client information in private, and …