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Recent Submissions

Development and Maintenance of Mobile Forensic Investigation Software Modules
Arıkan, Süleyman Muhammed; Yürekten, Özgür (2021-07-20)
Nowadays, mobile devices are indispensable for social and business activities. Therefore, mobile device forensic technologies are critical for forensics practitioners. While using these technologies, they can investigate a...
Management of Service Function Chains in Programmable Data Plane
Yürekten, Özgür (2021-07-19)
The rapid development of information technologies necessitates the use of high-speed network technologies. Software defined networking and network function virtualization are critical technologies for high-bandwidth, dynam...
1. AI-based Air-to-Surface Mission Planning for Opportunity Targets using Predictive LAR Approach
Ertekin Bolelli, Şeyda; Ozdemir, Rasit (2021-06-11)
Feature Dimensionality Reduction with Variational Autoencoders in Deep Bayesian Active Learning
Ertekin Bolelli, Şeyda; Çöl, Pınar Ezgi (2021-06-09)
Data annotation for training of supervised learning algorithms has been a very costly procedure. The aim of deep active learning methodologies is to acquire the highest performance in supervised deep learning models by ann...
Lifelong learning and personalization in long-term human-robot interaction (LEAP-HRI)
Irfan, Bahar; Ramachandran, Aditi; Spaulding, Samuel; Kalkan, Sinan; Parisi, German I.; Gunes, Hatice (2021-03-08)
© 2021 Owner/Author.While most of the research in Human-Robot Interaction (HRI) focuses on short-term interactions, long-term interactions require bolder developments and a substantial amount of resources, especially if th...
Dynamic Resource Management in Next Generation Networks based on Deep Q Learning
Aslan, Aysun; Bal Bozkurt, Gülce; Toker, Cenk (Institute of Electrical and Electronics Engineers (IEEE); 2021-1-07)
In next generation networks, with the increasing number of diverse mobile network service types, a major challenge lies in how to manage and support all mobile service users who have different Quality of Service (QoS) requ...
Covert Channel Detection Using Machine Learning
Çavuşoğlu, İmge Gamze; Alemdar, Hande; Onur, Ertan (2021-01-07)
A covert channel is a communication method that misuses legitimate resources to bypass intrusion detection systems. They can be used to do illegal work like leaking classified (or sensitive) data or sending commands to mal...
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
Alamri, Faisal; Kalkan, Sinan; Pugeault, Nicolas (2021-01-01)
Deep neural network approaches have demonstrated high performance in object recognition (CNN) and detection (Faster-RCNN) tasks, but experiments have shown that such architectures are vulnerable to adversarial attacks (FFF...
Estimating Static and Dynamic Brain Networks by Kulback-Leibler Divergence from fMRI Data
Degirmendereli, Gonul Gunal; Yarman Vural, Fatoş Tunay (2021-01-01)
Representing brain activities by networks is very crucial to understand various cognitive states. This study proposes a novel method to estimate static and dynamic brain networks using Kulback-Leibler divergence. The sugge...
Effective Use of Low Power Heterogeneous Wireless Multimedia Sensor Networks for Surveillance Applications Using IEEE 802.15.4 Protocol
Kenges, Nurdaulet; Ever, Enver; Yazıcı, Adnan (2021-01-01)
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.With the recent technological advancements in video sensors, digital signal processing units and digital radio interfaces, low-cost devices s...
Privacy-preserving data sharing and adaptable service compositions in mission-critical clouds
Bhargava, Bharat; Angın, Pelin; Ranchal, Rohit (2021-01-01)
© 2021 CEUR-WS. All rights reserved.Existing cloud systems lack robust mechanisms to monitor compliance of services with security and performance policies under changing contexts, and to ensure uninterrupted operation in c...
Local Culprits of Shape Complexity
Arslan, Mazlum Ferhat; Tarı, Zehra Sibel (2021-01-01)
© 2021, Springer Nature Switzerland AG.Quantifying shape complexity is useful in several practical problems in addition to being interesting from a theoretical point of view. In this paper, instead of assigning a single gl...
Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
Bilge, Yunus Can; Yucel, Mehmet Kerim; Cinbiş, Ramazan Gökberk; İKİZLER CİNBİŞ, NAZLI; DUYGULU ŞAHİN, PINAR (2021-01-01)
In many real-world problems, there is typically a large discrepancy between the characteristics of data used in training versus deployment. A prime example is the analysis of aggression videos: in a criminal incidence, typ...
MDP based Decision Support for Earthquake Damaged Distribution System Restoration
Arpalı, Onur Yigit; Yılmaz, Uğur Can; Aydın Göl, Ebru; Güldür Erkal, Burcu; Göl, Murat (2020-12-16)
As the society becomes more dependent on the presence of electricity, the resilience of the power systems gains more importance. This paper develops a decision support method for distribution system operators to restore el...
Named entity recognition on morphologically rich language: exploring the performance of BERT with varying training levels
Kılıç, Yüksel Pelin; Dinç, Duygu; Karagöz, Pınar (null; 2020-12-13)
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
Öksüz, Kemal; Çam, Barış Can; Akbaş, Emre; Kalkan, Sinan (2020-12-06)
We propose average Localisation-Recall-Precision (aLRP), a unified, bounded, balanced and ranking-based loss function for both classification and localisation tasks in object detection. aLRP extends the Localisation-Recall...
Dynamic Resource Management in Next Generation Networks with Dense User Traffic
Aslan, Aysun; Bal Bozkurt, Gülce; Toker, Cenk (IEEE; 2020-12-04)
With the era of the fifth generation (5G) networks, supporting all mobile service users who have different Quality of Service (QoS) requirements becomes the main challenge. To manage and satisfy the heterogeneous requireme...
ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild
Kurnaz, Fatih Can; Hocaoğlu, Burak; Yılmaz, Mert Kaan; Sülo, İdil; Kalkan, Sinan (2020-12-01)
Investigating Bias and Fairness in Facial Expression Recognition
Xu, Tian; Jennifer, White; Kalkan, Sinan; Güneş, Hatice (2020-12-01)
A Novel SDN Dataset for Intrusion Detection in IoT Networks
Sarica, Alper Kaan; Angın, Pelin (2020-11-04)
The number of Internet of Things (IoT) devices and the use cases they aim to support have increased sharply in the past decade with the rapid developments in wireless networking infrastructures. Despite many advantages, th...
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