A5052390747- Geotechnical Engineering and Analysis
- Geotechnical Engineering and Underground Structures
- Rock Mechanics and Modeling
- Tunneling and Rock Mechanics
- Dam Engineering and Safety
- Grouting, Rheology, and Soil Mechanics
- Mineral Processing and Grinding
- Landslides and related hazards
- Geotechnical Engineering and Soil Stabilization
- Geoscience and Mining Technology
- Drilling and Well Engineering
- Neural Networks and Applications
- Innovative concrete reinforcement materials
- Geophysical Methods and Applications
- Concrete and Cement Materials Research
- Mining Techniques and Economics
- Cognitive Science and Mapping
- Structural Response to Dynamic Loads
- Belt Conveyor Systems Engineering
- Geotechnical Engineering and Soil Mechanics
- Seismic Performance and Analysis
- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
- Seismic Waves and Analysis
- Structural Behavior of Reinforced Concrete
Urmia University
2016-2025
Duy Tan University
2020-2022
University of Technology Malaysia
2011-2020
Flyrock is one of the major disturbances induced by blasting which may cause severe damage to nearby structures. This phenomenon has be precisely predicted and subsequently controlled through changing in blast design minimize potential risk blasting. The scope this study predict flyrock a novel approach based on combination imperialist competitive algorithm (ICA) artificial neural network (ANN). For purpose, parameters 113 operations were accurately recorded distances measured for each...
Underground spaces have become increasingly important in recent decades metropolises. In this regard, the demand for use of underground and, consequently, excavation these has increased significantly. Excavation an space is accompanied by risks and many uncertainties. Tunnel convergence, as tendency reduction excavated area due to change initial stresses, frequently observed, order monitor safety construction evaluate design performance tunnel. This paper presents a model/equation obtained...
There is an unmet need of models for early prediction morbidity and mortality Coronavirus disease-19 (COVID-19). We aimed to a) identify complement-related genetic variants associated with the clinical outcomes ICU hospitalization death, b) develop artificial neural network (ANN) predicting these c) validate whether are impaired complement phenotype. prospectively recruited consecutive adult patients Caucasian origin, hospitalized due COVID-19. Through targeted next-generation sequencing, we...
Abstract Blasting is widely employed as an accepted mechanism for rock breakage in mining and civil activities. As environmental side effect of blasting, flyrock should be investigated precisely open-pit operations. This paper proposes a novel integration artificial neural network fuzzy cognitive map (FCM) with Z -number reliability information to predict distance mine blasting. The developed model called the causality-weighted networks, based on (ACWNNsR). -numbers used eliminate...
In recent years, metakaolin, as a highly reactive pozzolan, has been in the center of research concerning mortar-based materials. Metakaolin is used an addition cement-mortars, substituting cement fraction to certain extent, order enhance sustainability mortars, both terms environmental impact raw materials production, well improving cement-based mortars durability under actions. However, metakaolin affects mechanical performance it important know compressive strength that these blended...