Classification and detection of natural disasters using machine learning and deep learning techniques: A review

K Abraham, M Abdelwahab, M Abo-Zahhad - Earth Science Informatics, 2024 - Springer
For efficient disaster management, it is essential to identify and categorize natural disasters.
The classical approaches and current technological advancements for identifying …

GNSS/accelerometer integrated deformation monitoring algorithm based on sensors adaptive noise modeling

C Jing, G Huang, X Li, Q Zhang, H Yang, K Zhang… - Measurement, 2023 - Elsevier
Abstract The Global Navigation Satellite System (GNSS) and accelerometer integrated
system can obtain more stable and reliable deformation displacement with the full use of the …

[HTML][HTML] Integration of carbon dioxide sensor with GNSS receiver for dynamic air quality monitoring applications

L Yola, GA Nanditho, K Kobayashi, D Manandhar - Sensors International, 2024 - Elsevier
Air pollution is a significant problem in big cities due to the rapid increase of anthropogenic
activities and severe traffic congestion. Therefore, real-time and micro tools for air monitoring …

Dynamic displacement monitoring by integrating high-rate GNSS and accelerometer: on the possibility of downsampling GNSS data at reference stations

J Paziewski, K Stepniak, R Sieradzki, CO Yigit - GPS Solutions, 2023 - Springer
We combine accelerometer and asynchronous high-rate GNSS data to retrieve dynamic
displacements. The method adopts relative GNSS positioning with observations of different …

GNSS/Accelerometer adaptive coupled landslide deformation monitoring technology

C Jing, G Huang, Q Zhang, X Li, Z Bai, Y Du - Remote Sensing, 2022 - mdpi.com
Global Navigation Satellite System (GNSS) positioning technology has become the most
effective method for real-time three-dimensional landslide monitoring. However, the GNSS …

A virtual model architecture for engineering structures with Twin Extended Support Vector Regression (TX-SVR) method

Q Wang, D Wu, G Li, W Gao - Computer Methods in Applied Mechanics and …, 2021 - Elsevier
A machine learning aided virtual model architecture framework is presented. With great
computational stability and preserved convexity features, the Twin Extended Support Vector …

Symmetric calibration method of pendulous Integrating Gyroscopic accelerometer on centrifuge

C Sun, SQ Ren, J Cao, R Huo - Measurement, 2022 - Elsevier
With increasing requirements for the accuracy of Pendulous Integrating Gyroscopic
Accelerometer (PIGA), developing effective methods that can accurately calibrate nonlinear …

Integration of High-Rate GNSS and Strong Motion Record Based on Sage–Husa Kalman Filter with Adaptive Estimation of Strong Motion Acceleration Noise …

Y Zhang, Z Nie, Z Wang, G Zhang, X Shan - Remote Sensing, 2024 - mdpi.com
A strong motion seismometer is a kind of inertial sensor, and it can record middle-to high-
frequency ground accelerations. The double-integration from acceleration to displacement …

Adaptive coloured noise multirate Kalman filter and its application in coseismic deformations

C Chen, X Lin, W Li, L Cheng, H Wang… - Geophysical Journal …, 2023 - academic.oup.com
The accuracy and sampling rate of a coseismic displacement and velocity waveform can be
improved by fusing Global Navigation Satellite System (GNSS) and strong motion (SM) …

An Innovative Sensor Integrated with GNSS and Accelerometer for Bridge Health Monitoring

Y Xie, S Zhang, X Meng, DT Nguyen, G Ye, H Li - Remote Sensing, 2024 - mdpi.com
This paper presents an innovative integrated sensor that combines GNSS and a low-cost
accelerometer for bridge health monitoring. GNSS and accelerometers are both significant …