Search Results - "2018 26th Signal Processing and Communications Applications Conference (SIU)"

Computer network intrusion detection using various classifiers and ensemble learning by Mirza, Ali H.

“…In this paper, we execute anomaly detection over the computer networks using various machine learning algorithms. We then combine these algorithms to boost the…”
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Computer network intrusion detection using sequential LSTM Neural Networks autoencoders by Mirza, Ali H., Cosan, Selin

“…In this paper, we introduce a sequential autoencoder framework using long short term memory (LSTM) neural network for computer network intrusion detection. We…”
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Optimizing age of information on real-life TCP/IP connections through reinforcement learning by Sert, Egemen, Sonmez, Canberk, Baghaee, Sajjad, Uysal-Biyikoglu, Elif

“…Age of Information (AoI) has emerged as a performance metric capturing the freshness of data for status-update based applications (e.g., remote monitoring) as…”
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Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals by Diker, Aykut, Comert, Zafer, Avci, Engin, Velappan, Subha

“…Myocardial Infarction (MI) is one of the well-known heart attacks. This cardiac abnormality occurs when the artery connecting the heart is blocked. The main…”
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Real-time detection and mitigation of distributed denial of service (DDoS) attacks in software defined networking (SDN) by Lawal, Babatunde Hafis, Nuray, A. T.

“…The emergence of Software Defined Network (SDN) and its promises in networking technology has gotten every stakeholder excited. However, it is believed that…”
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Detecting similar news by summarizing Turkish news by Torun, Hakan, Inner, A. Burak

“…The fact that data reaches huge size has brought about the problem of achieving the right data in the shortest time and the most reliable way. Contents…”
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A multi-view face database from Turkish TV series by Ozlu, Ahmet, Ekenel, Hazim Kemal

“…Facial image processing and analysis has numerous applications. Recently, with deep learning based approaches, a significant performance improvement has been…”
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Performance analysis of the TOA cooperative localization estimation algorithm for 5G cellular networks by Namdar, Mustafa, Basgumus, Arif, Guney, Abdulkadir

“…In this study, the performance analysis of the cooperative location estimation algorithms in 5G cellular networks is investigated. By using the time of arrival…”
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Volumetric extraction of pulmonary blood vessels from computerized tomography scans by Aribas, Kaya Mustafa, Esmer, Gokhan Bora, Sisman, Alper, Lacin, Tunc, Sarigul, Neslihan, Ayvacikli, Beyza

“…In this study we created 3D model of pulmonary blood vessels in order to help surgeons while they are performing bronoschopy which is for cancer detection on…”
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Effect of channel fading on reaching consensus in multi-agent systems by Cokona, Kimon, Basaran, Semiha Tedik, Durmaz, Emre, Oral, Ezgi, Kurt, Gunes Karabulut, Ascheid, Gerd, Dartmann, Guido

“…This paper studies the performance of multi-agent systems (MAS), the usage area of which is constantly expanding, under the fading effect of wireless…”
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A comparative study on super resolution with deep learning by Temiz, Hakan, Tufekci, Aslihan, Bilge, Hasan Sakir

“…Deep learning architectures are applied in the solution of many problems and give very successful results compared to other methods. One of these problems is…”
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Performance analysis of signal processing algorithms using multi-core DSP platform by Sapla, Emrah, Gemici, Omer Faruk, Hokelek, Ibrahim, Bolgem, Tubitak

“…Signal processing applications in next generation radar and communication systems have enormous processing capacity requirements. Multi-core processor…”
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An application on the mission planning of UAV swarm by Gumusboga, Ilkay

“…Within the scope of this work, a combat intelligence, surveillance and attack scenario is designed. Solutions to the problem of planning for unmanned aerial…”
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Sentiment classification based on deep learning by Salur, Mehmet Umut, Aydin, Ilhan

“…The increase in the usage rate of the Internet and social media around the world has also led to an increase in the text-based contents. Content shared in a…”
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Queue-based sequential clustering method for interval datasets by Cogun, Fuat, Altiparmak, Fatih, Balaban, Halim Sinan

“…The clustering method used in this paper is developed for interval datasets encountered in most applications. Hausdorff distance metric defined for interval…”
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Using angio image sequence for coronary vessel segmentation by Tenekeci, Mehmet Emin, Pehlivan, Huseyin, Gumuscu, Abdulkadir, Karadag, Kerim

“…Determination of abnormalities in coronary vessels and vessel segmentation in X-ray coronary angiography has been a challenging problem in recent years. This…”
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Landing page component classification with convolutional neural networks for online advertising by Ayhan, Gulsah, Senel, Cagla, Uran, Zeynep Eda, Toreyin, Behcet Ugur

“…Pages on digital platforms used for online advertising in order to attract customer attention for a target product are called landing pages. The aim of landing…”
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Real-time PSK transceiver design and implementation using software defined radio by ZengIn, Mehmet Ali, Kucuk, Kerem, Colak, Sultan Aldirmaz

“…Binary Phase Shift Keying (BPSK) and Quadrature Phase Shift Keying (QPSK) are important modulation techniques for being used in many communication standards…”
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D-shaped photonic crystal fiber based surface plasmon resonance sensor by Yasli, Ahmet, Ademgil, Huseyin, Haxha, Shyqyri

“…In this study, we have proposed photonic crystal fiber based surface plasmon resonance sensor, where hexagonally arranged circular air holes surrounded the…”
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Evaluation of fault tolerant link monitoring algorithms for wireless sensor networks by Yigit, Yasin, Dagdeviren, Orhan

“…Wireless sensor networks are ad-hoc networks that operate with limited capacity and energy. In wireless sensor networks, it may be desirable to monitor the…”
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