Department of Computer Engineering, Article

Browse
Search within this collection:

Filters

Entity Type
Publication (808)

Has File(s)
No (585)
Yes (223)

Author
Yazıcı, Adnan (67)
Polat, Faruk (53)
Karagöz, Pınar (48)
Toroslu, İsmail Hakkı (44)
Oğuztüzün, Mehmet Halit S. (36)

Subject
Software (99)
Artificial Intelligence (73)
Computer Science Applications (69)
Information Systems (45)
Electrical and Electronic Engineering (40)

Date Issued
1987 - 1989 (6)
1990 - 1999 (42)
2000 - 2009 (199)
2010 - 2019 (384)
2020 - 2024 (177)

Item Type
Journal Article (673)
Article (3)
Conference Paper (1)

Recent Submissions

Privacy-preserving federated machine learning on FAIR health data: A real-world application
Sınacı, Ali Anıl; Gencturk, Mert; Alvarez-Romero, Celia; Laleci Erturkmen, Gokce Banu; Martinez-Garcia, Alicia; Escalona-Cuaresma, María José; Parra-Calderon, Carlos Luis (2024-12-01)
Objective: This paper introduces a privacy-preserving federated machine learning (ML) architecture built upon Findable, Accessible, Interoperable, and Reusable (FAIR) health data. It aims to devise an architecture for exec...
Field teams coordination for earthquake-damaged distribution system energization
Işık, İlker; Aydın Göl, Ebru (2024-05-01)
The re-energization of electrical distribution systems in a post-disaster scenario is of grave importance as most modern infrastructure systems rely heavily on the presence of electricity. This paper introduces a method to...
GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening
Ioannou, Iacovos; Nagaradjane, Prabagarane; Angın, Pelin; Balasubramanian, Palaniappan; Kavitha, Karthick Jeyagopal; Murugan, Palani; Vassiliou, Vasos (2024-03-01)
Evaluating the quality of visual explanations on chest X-ray images for thorax diseases classification
Rahimiaghdam, Shakiba; Alemdar, Hande (2024-01-01)
Deep learning models are extensively used but often lack transparency due to their complex internal mechanics. To bridge this gap, the field of explainable AI (XAI) strives to make these models more interpretable. However,...
Traffic signal optimization using multiobjective linear programming for oversaturated traffic conditions
Coşkun, Mustafa Murat; Şener, Cevat; Toroslu, İsmail Hakkı (2024-01-01)
In this study, we present a framework designed to optimize signals at intersections experiencing oversaturated traffic conditions, utilizing mixed-integer linear programming (MILP) techniques. The proposed MILP solutions w...
A smart e-health framework for monitoring the health of the elderly and disabled
Yazıcı, Adnan; Zhumabekova, Dana; Nurakhmetova, Aidana; Yergaliyev, Zhanggir; Yatbaz, Hakan Yekta; Makisheva, Zaida; Lewis, Michael; EVER, ENVER (2023-12-01)
The healthcare sector is experiencing a significant transformation due to the widespread adoption of IoT-based systems, especially in the care of elderly and disabled individuals who can now be monitored through portable a...
Special issue on High-Performance Computing Conference (BASARIM 2022)
Kaya, Kamer; Şener, Cevat; Yenigün, Hüsnü (2023-11-01)
This is an editorial for the Special Issue on the 7th High-Performance Computing Conference (BAŞARIM 2022) organized on May 11–13, 2022, at Sabanci University Altunizade Digital Campus, İstanbul.
Analysis of Vector-Network-Analyzer-Based Power Sensor Calibration Method Application
Danaci, Erkan; Bayrak, Yusuf; Çetinkaya, Anıl; Arslan, Murat; Sakarya, Handan; Dogan, Aliye Kartal; Tunay, Gulsun (2023-09-01)
Radio Frequency (RF) power sensor calibration is one of the essential measurements in RF and microwave metrology. For a reliable and accurate power sensor calibration, there are various methods, such as the substitution me...
Solving an industry-inspired generalization of lifelong MAPF problem including multiple delivery locations
Polat, Faruk (2023-08-01)
Effect of Context on Smartphone Users' Typing Performance in the Wild
Akpinar, Elgin; YILMAZ, YELİZ; Karagöz, Pınar (2023-06-10)
Smartphones play a crucial role in daily activities, however, situationally-induced impairments and disabilities (SIIDs) can easily be experienced depending on the context. Previous studies explored the effect of context b...
The reusability prior: comparing deep learning models without training
Polat, Aydın Göze; Alpaslan, Ferda Nur (2023-06-01)
Various choices can affect the performance of deep learning models. We conjecture that differences in the number of contexts for model components during training are critical. We generalize this notion by defining the reus...
Transfer learning for drug–target interaction prediction
Dalkıran, Alperen; Atakan, Ahmet; Rifaioğlu, Ahmet Süreyya; Martin, Maria J; Çetin Atalay, Rengül; Acar, Aybar Can; Doğan, Tunca; Atalay, Mehmet Volkan (2023-06-01)
MotivationUtilizing AI-driven approaches for drug–target interaction (DTI) prediction require large volumes of training data which are not available for the majority of target proteins. In this study, we investigate the us...
AI-driven container security approaches for 5G and beyond: A survey
Aktolga, Ilter Taha; Kuru, Elif Sena; Sever, Yiğit; Angin, Pelin (2023-06-01)
The rising use of microservice-based software deployment on the cloud leverages containerized software extensively. The security of applications running inside containers, as well as the container environment itself,...
A Kubernetes dataset for misuse detection
Sever, Yiğit; Dogan, Adnan Harun (2023-06-01)
Container security involves a broad spectrum of concerns, including the security of the operating system, auditing the supply chain and the application security of the running containers. This wide attack surface wil...
MDP based real time restoration for earthquake damaged active distribution systems
Arpalı, Onur Yigit; Yılmaz, Uğur Can; GÜLDÜR ERKAL, BURCU; Aydın Göl, Ebru; Göl, Murat (2023-05-01)
After a disaster, presence of electricity becomes even more crucial compared to its role in daily life. In this paper, an online decision support method is developed to restore medium voltage active distribution systems af...
Augmented Paths and Reodesics for Topologically-Stable Matching
Sahillioğlu, Yusuf; Horsman, Devin (2023-04-01)
We propose a fully-automatic method that computes from scratch pointto-point dense correspondences between isometric shapes under topological noise. While relying on pairwise distance preservation constraints is common and...
A Data Transformation Methodology to Create Findable, Accessible, Interoperable, and Reusable Health Data: Software Design, Development, and Evaluation Study
Sınacı, Ali Anıl; Gencturk, Mert; Teoman, Huseyin Alper; Laleci Erturkmen, Gokce Banu; Alvarez-Romero, Celia; Martinez-Garcia, Alicia; Poblador-Plou, Beatriz; Carmona-Pírez, Jonás; Löbe, Matthias; Parra-Calderon, Carlos Luis (2023-03-08)
BACKGROUND: Sharing health data is challenging because of several technical, ethical, and regulatory issues. The Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles have been conceptualized to enabl...
FSOLAP: A fuzzy logic-based spatial OLAP framework for effective predictive analytics
Keskin, Sinan; Yazıcı, Adnan (2023-03-01)
Nowadays, with the rise in sensor technology, the amount of spatial and temporal data increases day by day. Fast, effective, and accurate analysis and prediction of collected data have become more essential than ever. Spat...
Trust-aware location recommendation in location-based social networks: A graph-based approach
Canturk, Deniz; Karagöz, Pınar; Kim, Sang-Wook; Toroslu, İsmail Hakkı (2023-03-01)
© 2022 Elsevier LtdWith the increase in the use of mobile devices having location-related capabilities, the use of Location-Based Social Networks (LBSN) has also increased, allowing users to share location-embedded informa...
Uphill resampling for particle filter and its implementation on graphics processing unit
Dülger, Özcan; Oğuztüzün, Mehmet Halit S.; Demirekler, Mübeccel (2023-02-01)
We introduce a new resampling method, named Uphill, that is free from numerical instability and suitable for parallel implementation on graphics processing unit (GPU). Common resampling algorithms such as Systematic suffer...
Citation Formats