Graduate School of Engineering and Science: Recent submissions
Now showing items 41-48 of 48
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Deterministic neural illumination mapping for efficient auto-white balance correction
(IEEE, 2023)Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios. This paper presents a novel and efficient AWB ... -
A comparative study for 6D pose estimation of textureless and symmetric objects used in automotive manufacturing industry
(IEEE, 2023)6D pose estimation of industrial objects on RGB images has a high potential to accelerate the automation of robotic manipulations in the automotive manufacturing industry. Despite its high potential, this problem has not ... -
Multi-criteria decision-making model for risk management in modular construction projects
(Taylor & Francis, 2024)The modular sector needs a precise guide to determine the most efficient risk management approaches. The main research objective of this study is to develop a multi-criteria decision-making model to find the most efficient ... -
Data fusion analysis and synthesis framework for improving disaster situation awareness
(MDPI, 2023-09)To carry out required aid operations efficiently and effectively after an occurrence of a disaster such as an earthquake, emergency control centers must determine the effect of disasters precisely and and in a timely manner. ... -
Field reconnaissance on seismic performance and functionality of Turkish industrial facilities affected by the 2023 Kahramanmaras earthquake sequence
(Springer, 2024-01)On February 6th, 2023, an earthquake sequence with moment magnitudes (Mw) of 7.8 and 7.5 rocked southern and eastern Turkiye, affecting 15 million-residents and a significant portion of Turkiye’s industrial community. In ... -
PYNQ-based rapid FPGA implementation of quantum key distribution
(IEEE, 2021)In this paper, we present a real-time Quantum Key Distribution (QKD) implementation on Field Programmable Gate Arrays (FPGAs) for secure communication. We propose a novel methodology with a Python-based programming interface ... -
Applying deep learning models to twitter data to detect airport service quality
(Elsevier, 2021-03)Measuring airport service quality (ASQ) is an important process for identifying shortages and suggesting improvements that guide management decisions. This research, introduces a general framework for measuring ASQ using ... -
Provenance aware run-time verification of things for self-healing Internet of Things applications
(Wiley, 2019-02-10)We propose a run-time verification mechanism of things for self-healing capability in the Internet of Things domain. We discuss the software architecture of the proposed verification mechanism and its prototype implementations. ...
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