Beshr, A.A.E.W. and M.R. Kaloop, 2013. Monitoring bridge deformation using auto-correlation adjustment technique for total station observations. Positioning, 4: 1-7.Direct Link |
Chen, C., M.R. Kaloop, Q. Gao and Z. Wang, 2015. Environmental effects and output-only model identification of continuous bridge response. KSCE J. Civ. Eng., 19: 2198-2207.
Chen, C., M.R. Kaloop, Z.L. Wang, Q.F. Gao and J.F. Zhong, 2014. Design of a long-term monitoring system for a PSC continuous box-girder bridge. Key Eng. Mater., 619: 1-9.CrossRef | Direct Link |
El Shambaky, H.T. and M.R. Kaloop, 2017. Study of the variance ratio effect to improve conventional Kalman filter applications in vehicle navigation system. KSCE J. Civil Eng., 21: 408-417.CrossRef | Direct Link |
Elbeltagi, E., M.R. Kaloop and M.T. Elnabwy, 2015. GPS-monitoring and assessment of mansoura railway steel-bridge based on filter and wavelet methods. Asian J. Earth Sci., 8: 114-126.
Elnabwy, M.T., M.R. Kaloop and E. Elbeltagi, 2013. Talkha steel highway bridge monitoring and movement identification using RTK-GPS technique. Measurement, 46: 4282-4292.CrossRef | Direct Link |
Hegazy, I.R. and M.R. Kaloop, 2015. Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. Int. J. Sustainable Built Environ., 4: 117-124.CrossRef | Direct Link |
Hu, J.W. and M.R. Kaloop, 2015. Single input-single output identification thermal response model of bridge using nonlinear ARX with wavelet networks. J. Mech. Sci. Technol., 29: 2817-2826.CrossRef | Direct Link |
Kaloop, M.R. and D. Kim, 2014. De-noising of GPS structural monitoring observation error using wavelet analysis. Geomatics Nat. Hazards Risk, (In Press). 10.1080/19475705.2014.983186.CrossRef | Direct Link |
Kaloop, M.R. and D. Kim, 2014. GPS-structural health monitoring of a long span bridge using neural network adaptive filter. Surv. Rev., 46: 7-14.CrossRef | Direct Link |
Kaloop, M.R. and D. Kim, 2016. De-noising of GPS-structural health monitoring observations error using wavelet analysis, Geomatics. Nat. Hazards Risk, 7: 804-825.
Kaloop, M.R. and H. Li, 2009. Monitoring of bridge deformation using GPS technique. KSCE J. Civil Eng., 13: 423-431.CrossRef | Direct Link |
Kaloop, M.R. and H. Li, 2009. Tower bridge movement analysis with GPS and accelerometer techniques: Case study yonghe tower bridge. Inform. Technol. J., 8: 1213-1220.CrossRef | Direct Link |
Kaloop, M.R. and H. Li, 2010. Simple geometrical model to analyze the motion detection of bridges based-GPS technique: Case study Yonghe bridge. Struct. Eng. Mech., 36: 129-147.
Kaloop, M.R. and H. Li, 2011. Sensitivity and analysis GPS signals based bridge damage using GPS observations and wavelet transform. Measurement, 44: 927-937.CrossRef |
Kaloop, M.R. and H. Li, 2014. Multi input-single output models identification of tower bridge movements using GPS monitoring system. Measurement, 47: 531-539.CrossRef | Direct Link |
Kaloop, M.R. and J.W. Hu, 2015. Optimizing the De-Noise neural network model for GPS time-series monitoring of structures. Sensors, 15: 24428-24444.CrossRef | Direct Link |
Kaloop, M.R. and J.W. Hu, 2015. Stayed-cable bridge damage detection and localization based on accelerometer health monitoring measurements. Shock Vibrat., Vol. 501. .
Kaloop, M.R. and J.W. Hu, 2016. Damage identification and performance assessment of regular and irregular buildings using wavelet transform energy. Adv. Mater. Sci. Eng., Vol. 2016. 10.1155/2016/6027812.CrossRef |
Kaloop, M.R. and J.W. Hu, 2016. Dynamic performance analysis of the towers of a long-span bridge based on GPS monitoring technique. J. Sensors, Vol. 2016. 10.1155/2016/7494817.CrossRef |
Kaloop, M.R. and J.W. Hu, 2017. Seismic response prediction of buildings with base isolation using advanced soft computing approaches. Adv. Mater. Sci. Eng., Vol. 2017. 10.1155/2017/7942782.CrossRef |
Kaloop, M.R. and M. Rabah, 2016. Time and frequency domains response analyses of April 2015 Greece's earthquake in the Nile Delta based on GNSS-PPP. Arabian J. Geosci., Vol. 9. 10.1007/s12517-016-2343-8.CrossRef |
Kaloop, M.R., 2012. Bridge safety monitoring based-GPS technique: Case study Zhujiang Huangpu bridge. Smart Struct. Syst., 9: 473-487.
Kaloop, M.R., E. Elbeltagi and M. Elnabwy, 2015. Bridge monitoring with wavelet principal component and spectrum analysis based on GPS measurements: Case study of the Mansoura Bridge in Egypt. J. Perform. Constr. Facil., Vol. 29. 10.1061/(ASCE)CF.1943-5509.0000559.CrossRef | Direct Link |
Kaloop, M.R., J.W. Hu and E. Elbeltagi, 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-Inform., Vol. 5. 10.3390/ijgi5120222.CrossRef |
Kaloop, M.R., J.W. Hu and E. Elbeltagi, 2016. Evaluation of high-speed railway bridge based on nondestructive monitoring system. Applied Sci., 6: 24-24.
Kaloop, M.R., J.W. Hu and E. Elbeltagi, 2016. Time-series and frequency-spectrum correlation analysis of bridge performance based on a real-time strain monitoring system. ISPRS Int. J. Geo-Inform., Vol. 5. 10.3390/ijgi5050061.CrossRef |
Kaloop, M.R., J.W. Hu and E. Elbeltagi, 2017. Predicting the pullout capacity of small ground anchors using nonlinear integrated computing techniques. Shock Vibration, Vol. 2017. 10.1155/2017/2601063.CrossRef |
Kaloop, M.R., J.W. Hu and M.A. Sayed, 2015. Bridge performance assessment based on an adaptive neuro-fuzzy inference system with wavelet filter for the GPS measurements. ISPRS Int. J. Geo-Inform., 4: 2339-2361.CrossRef | Direct Link |
Kaloop, M.R., J.W. Hu and M.A. Sayed, 2016. Yonjung high-speed railway bridge assessment using output-only structural health monitoring measurements under train speed changing. J. Sensors, Vol. 2016. 10.1155/2016/4869638.CrossRef |
Kaloop, M.R., J.W. Hu and Y. Bigdeli, 2016. Identification of the response of a controlled building structure subjected to seismic load by using nonlinear system models. Applied Sci., Vol. 6. 10.3390/app6100301.CrossRef |
Kaloop, M.R., J.W. Hu, M.A. Sayed and J. Seong, 2016. Structural performance assessment based on statistical and wavelet analysis of acceleration measurements of a building during an earthquake. Shock Vibration, Vol. 2016. 10.1155/2016/8902727.CrossRef |
Kaloop, M.R., M. Rabah and M. Elnabwy, 2016. Sea level change analysis and models identification based on short tidal gauge measurements in Alexandria, Egypt. Mar. Geodesy, 39: 1-20.CrossRef | Direct Link |
Kaloop, M.R., M. Sayed, D. Kim and E. Kim, 2014. Movement identification model of port container crane based on structural health monitoring system. Struct. Eng. Mech., 50: 105-119.CrossRef | Direct Link |
Kaloop, M.R., M.M. Abdelaal and H.T. El Shambaky, 2015. Optimum ARX model prediction for monthly air temperature changes in delta, Egypt. Res. J. Environ. Sci., 9: 137-151.
Kaloop, M.R., S.J. Choi and J.W. Hu, 2015. Spectrum analysis of seismic responses of a building during an earthquake. J. Korean Soc. Adv. Composite Struct., 6: 1-5.CrossRef | Direct Link |
Rabah, M. and M. Kaloop, 2013. The use of minimum curvature surface technique in geoid computation processing of egypt. Arabian J. Geosci., 6: 1263-1272.CrossRef | Direct Link |
Sayed, M.A., M.R. Kaloop, E. Kim and D. Kim, 2016. Assessment of acceleration responses of a railway bridge using wavelet analysis. KSCE J. Civil Eng. 10.1007/s12205-016-1762-0.CrossRef |