Browsing Graduate School of Engineering and Science by Document Type "Article"
Now showing items 1-17 of 17
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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 ... -
Automated flow rate control of extrusion for 3D concrete printing incorporating rheological parameters
(Elsevier, 2024-04)The use of inline quality assessment technologies is of great importance in meeting the consistent extrusion requirements of 3D concrete printing (3DCP) applications. This paper presents a system to regulate extrusion speed ... -
Centrality and scalability analysis on distributed graph of large-scale e-mail dataset for digital forensics
(IEEE, 2020-12-10)Today's digital forensics software tools mostly do not offer automatic analysis methods to reveal evidences among huge amounts of digital files within hard disk images. It is important that finding evidence in digital and ... -
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. ... -
Deep transformer-based asset price and direction prediction
(IEEE, 2024)The field of algorithmic trading, driven by deep learning methodologies, has garnered substantial attention in recent times. Within this domain, transformers, convolutional neural networks, and patch embedding-based ... -
Depression screening from voice samples of patients affected by parkinson’s disease
(S. Karger AG, 2019-05-01)Depression is a common mental health problem leading to significant disability worldwide. It is not only common but also commonly co-occurs with other mental and neurological illnesses. Parkinson's disease (PD) gives rise ... -
Developing a national pandemic vaccination calendar under supply uncertainty
(Elsevier, 2024-04)During the COVID-19 pandemic, many countries faced challenges in developing and maintaining a reliable national pandemic vaccination calendar due to vaccine supply uncertainty. Deviating from the initial calendar due to ... -
Development and 3D spatial calibration of a parallel robot for percutaneous needle procedures with 2D ultrasound guidance
(World Scientific, 2017-12-01)Robotic systems are being applied to medical interventions as they increase the operational accuracy. The proposed autonomous and ultrasound guided 5-DOF parallel robot can achieve such accuracy for needle biopsies, which ... -
EPIoT: Enhanced privacy preservation based blockchain mechanism for internet-of-things
(Elsevier, 2024-01)With the increasing popularity of the Internet of things (IoT) and giving the end users the opportunity of collecting and analyzing the data by these IoT devices give rise to ultimate privacy concern and is attracting ... -
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 ... -
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 ... -
A multi-depot vehicle routing problem with time windows for daily planned maintenance and repair service planning
(Pamukkale Üniversitesi, 2023)A compressor manufacturer producing in Kocaeli/Dilovasi region makes vehicle routing and employee planning daily to fulfill the maintenance and repair requests of the Marmara region and its surroundings the next day. The ... -
Neural network estimators for optimal tour lengths of traveling salesperson problem instances with arbitrary node distributions
(Informs, 2024)It is essential to solve complex routing problems to achieve operational efficiency in logistics. However, because of their complexity, these problems are often tackled sequentially using cluster-first, route-second ... -
Numerical analysis and diffuser vane shape optimization of a radial compressor with the open-source software su2
(Turk Isi Bilimi ve Teknigi Dernegi, 2023)In recent years, the usage of open-source computational fluid dynamics tools is on a rise both in industry and academia. SU2 is one of these open-source tools. Unlike other open-source alternatives, SU2 is equipped with ... -
A predictive multistage postdisaster damage assessment framework for drone routing
(Wiley, 2024-01)This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an ... -
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. ... -
Towards interactive explanation-based nutrition virtual coaching systems
(Springer, 2024-01)The awareness about healthy lifestyles is increasing, opening to personalized intelligent health coaching applications. A demand for more than mere suggestions and mechanistic interactions has driven attention to nutrition ...
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