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Recent Submissions

Incremental multi-agent path finding
Semiz, Fatih; Polat, Faruk (Elsevier BV, 2021-03-01)
Existing multi-agent path finding (MAPF) algorithms are offline methods that aim at finding conflict-ree paths for more than one agent. In many real-life applications it is possible that a multi-agent plan cannot be fully ...
Obstruction-Aware Signal-Loss-Tolerant Indoor Positioning Using Bluetooth Low Energy
Taşkan, Aybars Kerem; Alemdar, Hande (MDPI AG, 2021-02-01)
Indoor positioning is getting increased attention due to the availability of larger and more sophisticated indoor environments. Wireless technologies like Bluetooth Low Energy (BLE) may provide inexpensive solutions. In th...
Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators
Yildirim, Deniz Can; Toroslu, İsmail Hakkı; Fiore, Ugo (2021-01-01)
Forex (foreign exchange) is a special financial market that entails both high risks and high profit opportunities for traders. It is also a very simple market since traders can profit by just predicting the direction of th...
Explainable Security in SDN-Based IoT Networks
Sarica, Alper Kaan; Angın, Pelin (2020-12-01)
The significant advances in wireless networks in the past decade have made a variety of Internet of Things (IoT) use cases possible, greatly facilitating many operations in our daily lives. IoT is only expected to grow wit...
Realistic Lighting for Interactive Applications Using Semi-Dynamic Light Maps
Öztürk, Bekir; Akyüz, Ahmet Oğuz (2020-12-01)
Light mapping is a technique that works by precomputing the lighting of a scene to speed up expensive lighting calculations at run-time. It is a commonly employed technique for computer games, in particular mobile games, d...
Supervised approaches for explicit search result diversification
Yigit-Sert, Sevgi; Altıngövde, İsmail Sengör; Macdonald, Craig; Ounis, Iadh; Ulusoy, Özgür (Elsevier BV, 2020-11-01)
Diversification of web search results aims to promote documents with diverse content (i.e., covering different aspects of a query) to the top-ranked positions, to satisfy more users, enhance fairness and reduce bias. In th...
Energy-efficient and fault-tolerant drone-BS placement in heterogeneous wireless sensor networks
Deniz, Fatih; Bagci, Hakki; KÖRPEOĞLU, İBRAHİM; Yazıcı, Adnan (2020-11-01)
This paper introduces a distributed and energy-aware algorithm, called Minimum Drone Placement (MDP) algorithm, to determine the minimum number of base stations mounted on resource-rich Unmanned Aerial Vehicles (UAV-BS), c...
Blockchain-Based Data Security in Military Autonomous Systems
Angın, Pelin (2020-11-01)
Advances in technology have enabled the increased use of autonomous systems such as unmanned aerial vehicles (UAVs) in military operations and other critical military communications. While the use of autonomous systems has...
The Effects of Clinical and Home‐based Physiotherapy Programs in Secondary Head and Neck Lymphedema
Ozdemir, Kadirhan; Keser, Ilke; Duzlu, Mehmet; Erpolat, Ozge P.; Saranlı, Uluç; Tutar, Hakan (Wiley, 2020-10-28)
Objectives/Hypothesis: To determine the effects of complex decongestive physiotherapy (CDP) and home programs on external lymphedema, staging of lymphedema, fibrosis, and three-dimensional (3D) surface scanning and volume ...
Learning to rank by using multivariate adaptive regression splines and conic multivariate adaptive regression splines
Altinok, Gulsah; Karagöz, Pınar; Batmaz, İnci (Wiley, 2020-10-22)
Learning to rank is a supervised learning problem that aims to construct a ranking model for the given data. The most common application of learning to rank is to rank a set of documents against a query. In this work, we f...
Low-level multiscale image segmentation and a benchmark for its evaluation
Akbaş, Emre; Ahuja, Narendra (Elsevier BV, 2020-10-01)
In this paper, we present a segmentation algorithm to detect low-level structure present in images. The algorithm is designed to partition a given image into regions, corresponding to image structures, regardless of their ...
Voxel transformation: scalable scene geometry discretization for global illumination
Yalciner, Bora; Sahillioğlu, Yusuf (Springer Science and Business Media LLC, 2020-10-01)
In real-time computer graphics, efficient discretization of scenes is required in order to accelerate graphics related algorithms such as realistic rendering with indirect illumination and visibility checking. Sparse voxel...
Protedge: A few-shot ensemble learning approach to software-defined networking-assisted edge security
Demirpolat, Ahmed; Sarica, Alper Kaan; Angın, Pelin (2020-10-01)
The rise of the Internet of Things (IoT) paradigm has had a significant impact on our lives through many use cases including smart farming, smart homes, and smart healthcare among others. Due to the capacity-constrained na...
Quantifying the value of sprints in elite football using spatial cohesive networks
Külah, Emre; Alemdar, Hande (Elsevier BV, 2020-10-01)
Football players are on the move during games and the sprint is one of the distinctive type of those movements. In this study, we focus on quantifying the value of the sprints using the spatial data of players and the coll...
Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation
Birbiri, Ufuk Cem; Hamidinekoo, Azam; Grall, Amelie; Malcolm, Paul; Zwiggelaar, Reyer (2020-09-01)
The manual delineation of region of interest (RoI) in 3D magnetic resonance imaging (MRI) of the prostate is time-consuming and subjective. Correct identification of prostate tissue is helpful to define a precise RoI to be...
Heliport Detection Using Artificial Neural Networks
Baseski, Emre (American Society for Photogrammetry and Remote Sensing, 2020-09-01)
Automatic image exploitation is a critical technology for quick content analysis of high-resolution remote sensing images. The presence of a heliport on an image usually implies an important facility, such as military faci...
Explicit diversification of search results across multiple dimensions for educational search
Yigit-Sert, Sevgi; Altıngövde, İsmail Sengör; Macdonald, Craig; Ounis, Iadh; ULUSOY, ÖZGÜR (Wiley, 2020-09-01)
Making use of search systems to foster learning is an emerging research trend known assearch as learning. Earlier works identified result diversification as a useful technique to support learning-oriented search, since div...
Synthesis of Monitoring Rules with STL
Aydin, Sertac Kagan; Aydın Göl, Ebru (World Scientific Pub Co Pte Lt, 2020-09-01)
Online monitoring is essential to enhance the reliability for various systems including cyber-physical systems and Web services. During online monitoring, the system traces are checked against monitoring rules in real time...
iBioProVis: interactive visualization and analysis of compound bioactivity space
Dönmez, Ataberk; Rifaioğlu, Ahmet Süreyya; Acar, Aybar; DOĞAN, TUNCA; Atalay, Rengül; Atalay, Mehmet Volkan (Oxford University Press (OUP), 2020-08-15)
SUMMARY: iBioProVis is an interactive tool for visual analysis of the compound bioactivity space in the context of target proteins, drugs and drug candidate compounds. iBioProVis tool takes target protein identifiers and, ...
Key protected classification for collaborative learning
Sariyildiz, Mert Bulent; Cinbiş, Ramazan Gökberk; Ayday, Erman (Elsevier BV, 2020-08-01)
© 2020Large-scale datasets play a fundamental role in training deep learning models. However, dataset collection is difficult in domains that involve sensitive information. Collaborative learning techniques provide a priva...