Found: 16
Select item for more details and to access through your institution.
Landslide susceptibility mapping using hybridized block modular intelligence model.
- Published in:
- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 1, p. 267, doi. 10.1007/s10064-020-01922-8
- By:
- Publication type:
- Article
An artificial neural network based model to predict spatial soil type distribution using piezocone penetration test data (CPTu).
- Published in:
- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 6, p. 4579, doi. 10.1007/s10064-018-1400-9
- By:
- Publication type:
- Article
PREDICTION OF SITE RESPONSE SPECTRUM UNDER EARTHQUAKE VIBRATION USING AN OPTIMIZED DEVELOPED ARTIFICIAL NEURAL NETWORK MODEL.
- Published in:
- Advances in Science & Technology Research Journal, 2016, v. 10, n. 30, p. 76, doi. 10.12913/22998624/62920
- By:
- Publication type:
- Article
Subsurface Topographic Modeling Using Geospatial and Data Driven Algorithm.
- Published in:
- ISPRS International Journal of Geo-Information, 2021, v. 10, n. 5, p. 341, doi. 10.3390/ijgi10050341
- By:
- Publication type:
- Article
Nonlinear site response evaluation of earthquakes: A case study from Sirdjan Balvavard Bridge, Kerman province, Iran.
- Published in:
- Journal of the Geological Society of India, 2014, v. 84, n. 4, p. 475, doi. 10.1007/s12594-014-0153-8
- By:
- Publication type:
- Article
Generating 3D Geothermal Maps in Catalonia, Spain Using a Hybrid Adaptive Multitask Deep Learning Procedure.
- Published in:
- Energies (19961073), 2022, v. 15, n. 13, p. 4602, doi. 10.3390/en15134602
- By:
- Publication type:
- Article
Assessment and Prediction of Liquefaction Potential Using Different Artificial Neural Network Models: A Case Study.
- Published in:
- Geotechnical & Geological Engineering, 2016, v. 34, n. 3, p. 807, doi. 10.1007/s10706-016-0004-z
- By:
- Publication type:
- Article
An Optimized Artificial Neural Network Structure to Predict Clay Sensitivity in a High Landslide Prone Area Using Piezocone Penetration Test (CPTu) Data: A Case Study in Southwest of Sweden.
- Published in:
- Geotechnical & Geological Engineering, 2016, v. 34, n. 2, p. 745, doi. 10.1007/s10706-016-9976-y
- By:
- Publication type:
- Article
Liquefaction potential analysis using hybrid multi-objective intelligence model.
- Published in:
- Environmental Earth Sciences, 2020, v. 79, n. 19, p. N.PAG, doi. 10.1007/s12665-020-09173-2
- By:
- Publication type:
- Article
Normalizing Large Scale Sensor-Based MWD Data: An Automated Method toward A Unified Database.
- Published in:
- Sensors (14248220), 2024, v. 24, n. 4, p. 1209, doi. 10.3390/s24041209
- By:
- Publication type:
- Article
A modified firefly algorithm applying on multi-objective radial-based function for blasting.
- Published in:
- Neural Computing & Applications, 2022, v. 34, n. 3, p. 2455, doi. 10.1007/s00521-021-06544-z
- By:
- Publication type:
- Article
Verification of a new method for evaluation of liquefaction potential analysis.
- Published in:
- Arabian Journal of Geosciences, 2013, v. 6, n. 3, p. 881, doi. 10.1007/s12517-011-0348-x
- By:
- Publication type:
- Article
Evaluation of a nonlinear seismic geotechnical site response analysis method subjected to earthquake vibrations (case study: Kerman Province, Iran).
- Published in:
- Arabian Journal of Geosciences, 2011, v. 4, n. 7/8, p. 1103, doi. 10.1007/s12517-009-0120-7
- By:
- Publication type:
- Article
A hybridized intelligence model to improve the predictability level of strength index parameters of rocks.
- Published in:
- Neural Computing & Applications, 2021, v. 33, n. 8, p. 3841, doi. 10.1007/s00521-020-05223-9
- By:
- Publication type:
- Article
Evaluation of the modified AHP-VIKOR for mapping and ranking copper mineralized areas, a case study from the Kerman metallogenic belt, SE Iran.
- Published in:
- Arabian Journal of Geosciences, 2022, v. 15, n. 24, p. 1, doi. 10.1007/s12517-022-10913-w
- By:
- Publication type:
- Article
Prediction of Uniaxial Compressive Strength of Different Quarried Rocks Using Metaheuristic Algorithm.
- Published in:
- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2019, v. 44, n. 10, p. 8645, doi. 10.1007/s13369-019-04046-8
- By:
- Publication type:
- Article