Mosbeh R. Kaloop
Orcid: 0000-0002-8449-8883
According to our database1,
Mosbeh R. Kaloop
authored at least 15 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
International Roughness Index prediction for flexible pavements using novel machine learning techniques.
Eng. Appl. Artif. Intell., 2023
2022
Hybrid Artificial Neural Networks for Modeling Shallow-Water Bathymetry via Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
An integrated framework for improving sea level variation prediction based on the integration Wavelet-Artificial Intelligence approaches.
Environ. Model. Softw., 2022
A novel AI approach for modeling land surface temperature of Freetown, Sierra Leone, based on land-cover changes.
Int. J. Digit. Earth, 2022
2020
Hybrid Wavelet and Principal Component Analyses Approach for Extracting Dynamic Motion Characteristics from Displacement Series Derived from Multipath-Affected High-Rate GNSS Observations.
Remote. Sens., 2020
An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management - A Case Study, Ezbet Elborg, Nile Delta, Egypt.
ISPRS Int. J. Geo Inf., 2020
2018
2017
Recent Advances of Structures Monitoring and Evaluation Using GPS-Time Series Monitoring Systems: A Review.
ISPRS Int. J. Geo Inf., 2017
2016
Yonjung High-Speed Railway Bridge Assessment Using Output-Only Structural Health Monitoring Measurements under Train Speed Changing.
J. Sensors, 2016
Dynamic Performance Analysis of the Towers of a Long-Span Bridge Based on GPS Monitoring Technique.
J. Sensors, 2016
Adjustment and Assessment of the Measurements of Low and High Sampling Frequencies of GPS Real-Time Monitoring of Structural Movement.
ISPRS Int. J. Geo Inf., 2016
Time-Series and Frequency-Spectrum Correlation Analysis of Bridge Performance Based on a Real-Time Strain Monitoring System.
ISPRS Int. J. Geo Inf., 2016
2015
Optimizing the De-Noise Neural Network Model for GPS Time-Series Monitoring of Structures.
Sensors, 2015
Bridge Performance Assessment Based on an Adaptive Neuro-Fuzzy Inference System with Wavelet Filter for the GPS Measurements.
ISPRS Int. J. Geo Inf., 2015