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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...
ProFAB-open protein functional annotation benchmark
Ozdilek, A. Samet; Atakan, Ahmet; Ozsari, Goekhan; Acar, Aybar; Atalay, Mustafa Ümit; DOĞAN, TUNCA; RİFAİOĞLU, AHMET SÜREYYA (2023-02-01)
As the number of protein sequences increases in biological databases, computational methods are required to provide accurate functional annotation with high coverage. Although several machine learning methods have been pro...
3D point cloud classification with ACGAN-3D and VACWGAN-GP
Ergun, Onur; Sahillioğlu, Yusuf (2023-01-01)
Machine learning and deep learning techniques are widely used to make sense of 3D point cloud data which became ubiquitous and important due to the recent advances in 3D scanning technologies and other sensors. In this wor...
Automated and accurate focal EEG signal detection method based on the cube pattern
Tuncer, Turker; Dogan, Sengul; Kaya, Muhammed Çağrı; Subasi, Abdulhamit (2023-01-01)
Electroencephalography (EEG) signals are named letters of the brain, and their translation is a complex issue. This work recommends a new hand-crafted feature-based EEG signal classification model, including a new local hi...
Fraud detection from paper texture using Siamese networks
Emiroğlu, Ezgi Ekiz; Şahin, Erol; Vural, Fatoş T. Yarman (2023-01-01)
In this paper, we present a model for the fraud detection of documents, using the texture of the paper on which they are printed. Different from prior studies, we present a data generation process through which we generate...
Enhancing UML Connectors with Behavioral ALF Specifications for Exogenous Coordination of Software Components
Kocatas, Alper Tolga; Doğru, Ali Hikmet (2023-1-01)
Connectors are powerful architectural elements that allow the specification of interactions between software components. Since the connectors do not include behavior in UML, the components include the behavior for coordina...
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