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Kandilli Observatory and Earthquake Research Institute
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New Paper |Data-driven modeling of ultimate load capacity of closed and open-ended piles using machine learning
Congress | The 5th International Disaster Resilience Congress
Seminar | Joint Turkish-Chinese Seminar on Re-building after February 6th, 2023 Kahramanmaras Earthquakes
Book | Deprem Risk Analizi ve Deprem Tehlikelerinin Azaltılması
New Paper | Fragility-based rapid earthquake loss assessment of precast RC buildings in the Marmara region
New Paper | Experimental analysis of blast loading effects on security check-post
New Paper | On the identification of the most appropriate green roof types for urbanized cities using multi-tier decision analysis: A case study of Istanbul, Turkey
Project | Development of a supervised learning-based artificial neural network supported management system for rainwater and greywater recovery
New Paper | Dynamic modal identification of a long-span suspension bridge using measured acceleration data during a storm
New Paper | Bio-inspired functional photocatalyst: Lipase enzyme functionalized TiO2 with excellent photocatalytic, enzymatic, and antimicrobial performance
New Paper | Investigation of adsorption and biosorption features of bio-functionalized poly(GMA-Co-EGDMA) polymer beads in the treatment of nicotine from tobacco industry
Scholarship in TÜBİTAK Project
31 October Seminar
New Paper | An earthquake damage identification approach from VHR image using mathematical morphology and machine learning
COST-ACTION
Project | Inspection of Some Food Safety Issues in Production Facilities with Visual Indicators and Artificial Intelligence
New Paper | Understanding Constitutive Behavior of Unsaturated Soils: A Novel Model That Accounts for Two-Way Coupled Hydro-Mechanical Behavior Including Hydraulic Hysteresis
New Paper | A Novel Explainable AI Method based on Sensitivity Analysis and its Application to Deep Learning Models for Remote Sensing Images
New Paper |Machine Learning-Based Estimation of Energy Dissipation Capacity of RC Shear walls
New Paper |Machine Learning-Based Predictive Models for Equivalent Damping Ratio of RC Shear Walls
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