With the increase in digital measurement and monitoring devices in the Turkish electricity grid, the possibilities of processing the obtained data and revealing meaningful information are also increasing. In this project, ...

In this study I compare machine learning methods for predicting the stock returns of individual Turkish stocks listed in the Istanbul Stock Exchange (Borsa Istanbul). As the main machine learning model I use the Instrumented ...

RAW image datasets are more suitable than the standard RGB image datasets for the ill-posed inverse problems in low-level vision, but not common in the literature. There are also a few studies to focus on mapping sRGB ...

In the recent years, there has been a growing interest among designers and owners to use systems developed to assess building performance with the intention of achieving sustainability in the construction industry. Estimating ...

The main critical factors, which have direct influence on the fracture toughness and imapct strength properties of natural fibers composites, are reviewed in details in this paper. Considering the vast body of literature ...

Bottom-up modeling appears to be a suitable approach for the urban-scale building energy performance assessment with providing valuable inferences on the complicated building energy patterns and helping authorities ...

The trend over the last few years has been towards an integrated approach to assessment. This session will explore the reasons why institutions prefer this approach and whether they achieve what they aim at. The session ...

This paper proposes an energy and spectrum efficient IoT network for 5G systems where spectrum is shared with the cellular system for spectrum efficiency and energy harvesting and energy transfer are utilized for energy ...

The paper illustrated the design experimentation we conducted during the two years of the pandemic, between 2020 and 2021 in Castelvecchio Calvisio. All of the work was done sitting in one's own chair at the Department of ...