Boumédiène Derras - Concepedia

Author

Boumédiène Derras

Also Known As

B. Derras, Boumediene Derras, Boumédiene Derras, Boumédiène Derras, DERRAS, Boumédiène, Derras, Boumediene, Derras, Boumédiène, Derras, Boumédiène

Publications

699

Citations

H-Index

Concepts

All Affiliations

Université Gustave Eiffel University of Abou Bekr Belkaïd Institut des Sciences de la Terre Centre National de la Recherche Scientifique Université de Saida Dr.Moulay Tahar

About

Boumédiène Derras is an author at Université Gustave Eiffel specializing in engineering, civil engineering, and forecasting.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	352
2	Civil Engineering	4	4	192
3	Data Science	4	4	321
4	Computer Science	1	1	128
5	Geography	1	1	23

Boumédiène Derras

Publications

647

Citations

H-Index

Page 1

	Year	Citations
Towards fully data driven ground-motion prediction models for Europe Boumédiène Derras, Pierre Yves Bard, Fabrice Cotton Bulletin of Earthquake Engineering EngineeringData ScienceForecastingGeodesySpatio-temporal Model	2013	160
Adapting the Neural Network Approach to PGA Prediction: An Example Based on the KiK-net Data Boumédiène Derras, Pierre‐Yves Bard, Fabrice Cotton, Bulletin of the Seismological Society of America EngineeringMachine LearningSeismic WaveNoise PredictionMachine Learning Tool	2012	128
Comparisons among the five ground-motion models developed using RESORCE for the prediction of response spectral accelerations due to earthquakes in Europe and the Middle East John Douglas, Sinan Akkar, G. Ameri, Bulletin of Earthquake Engineering	2013	82
V S30, slope, H 800 and f 0: performance of various site-condition proxies in reducing ground-motion aleatory variability and predicting nonlinear site response Boumédiène Derras, Pierre‐Yves Bard, Fabrice Cotton Earth Planets and Space	2017	81
Site‐Condition Proxies, Ground Motion Variability, and Data‐Driven GMPEs: Insights from the NGA‐West2 and RESORCE Data Sets Boumédiène Derras, Pierre‐Yves Bard, Fabrice Cotton Earthquake Spectra	2016	75
Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies Ahmed Boudghene Stambouli, Djawad Zendagui, Pierre‐Yves Bard, Earth Planets and Space	2017	39
Non-linear modulation of site response: Sensitivity to various surface ground-motion intensity measures and site-condition proxies using a neural network approach Boumédiène Derras, Pierre‐Yves Bard, Julie Régnier, Engineering Geology GeophysicsGeotechnical EngineeringGround MotionEarthquake EngineeringEnvironmental Monitoring	2020	31
Ground Motion Prediction Model Using Adaptive Neuro-Fuzzy Inference Systems: An Example Based on the NGA-West 2 Data Mourad Ameur, Boumédiène Derras, Djawad Zendagui Pure and Applied Geophysics Fuzzy LogicEngineeringFuzzy ModelingData ScienceNeuro-fuzzy System	2017	23
Seismic Resilience of Interdependent Built Environment for Integrating Structural Health Monitoring and Emerging Technologies in Decision-Making Nisrine Makhoul, Milad Roohi, John W. van de Lindt, Structural Engineering International	2024	18
Peak Ground Acceleration Prediction Using Artificial Neural Networks Approach: Application to the Kik-Net Data Boumédiène Derras International Journal of Earthquake Engineering and Hazard Mitigation (IREHM) EngineeringMachine LearningSeismic WaveAnn MethodEarthquake Hazards	2014	10

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