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A performance based assesment of biological self-healing cement-based mortar
Concrete is the second most used material after water, and the demand for cement-based systems is rapidly increasing due to the urbanization. Because of the cement content, the concrete induces approximately 8% of total ...
Flood loss and retrofit analyses for residential buildings
Flooding events are the most frequent natural disasters that cause significant physical damage on the built-infrastructure, leading to severe economic losses and social disruptions on communities. To measure and increase ...
A comparison study between 1D and 2D site response analyses based on observed earthquake acceleration records
Dynamic site response analysis is a technique that uses site characteristics and dynamic movements to attempt to predict the response of the specific site to ground motions in the form of response spectra. The main objective ...
Fire protection performance of different industrial intumescent coatings for steel beams
This study covers comparison of fire protection performance efficiencies of two commercially available different intumescent coatings on two 1-meters steel beams which have S275 steel grade and UPN 200 steel sections for ...
Allocating costs in a lot sizing game using novel machine learning methods
In supply chain management (SCM), effective resource utilization is the key to achieving certain strategic benefits such as minimizing costs, increasing service levels, reducing inventories, increasing responsiveness, and ...
A novel sampling technique and gradient boosting tree-based approach for cross-channel fraud detection
The most recent research on hundreds of financial institutions uncovered that only 26% of them have a team assigned to detect cross-channel fraud. Due to the developing technologies, various fraud techniques have emerged ...
Adapting bilateral networks to monocular depth estimation for real-time inference
Monocular Depth Estimation (MDE) is a fundamental computer vision application area for many industry-related advances. Due to its deployment needs, the inference time of the depth estimation algorithm also plays a crucial ...
Robust whole-body control for legged robots
This thesis aims to propose a robust whole-body locomotion controller for legged robots. To this end, it offers the centroidal momentum observer control algorithm, which could be a very useful tool for providing robust ...
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