Yayın tarihi için Bildiri Koleksiyonu listeleme
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Enhanced physical layer security by OFDM signal transmission in fractional Fourier domains
(Institute of Electrical and Electronics Engineers, 2015)The main idea of physical layer security for wireless communications is making the transmitted signal as meaningless for eavesdroppers. It can be achieved by signal processing techniques. In this study, fractional Fourier ... -
Optik iletişim sistemlerinde standart CMOS fotodiyotlarin uygulaması
(IEEE Inc., 2017)Bu bildiride standart CMOS üretim süreçleri ile gerçeklenmiş, mikroelektronik sistemlere düşük maliyetle tümleştirilebilecek fotodiyot yapılarının optik haberleşme sistemlerine uygulanabilirliği incelenmiştir. Silikon ... -
IEEE 802.11af ve 802.22 sistemlerinin uyumlu çalışmaları için meşgul ton tabanlı güç kontrolü
(Institute of Electrical and Electronics Engineers Inc., 2017)Bu bildiride, IEEE 802.22 ve IEEE 802.11af kablosuz sistemlerinin TV beyaz boşluğunda uyumlu çalışabilmeleri için meşgul ton tabanlı yeni bir güç kontrol algoritması önerilmiştir. Daha önceki meşgul ton tabanlı çalışmalardan ... -
A novel one-base station hybrid positioning method
(Institute of Electrical and Electronics Engineers Inc., 2017)In wireless networks, the need for accurate and low complexity localization methods are growing. Although many positioning methods based on signals' time difference of arrival (TDOA) and angle of arrival (AOA) have been ... -
Cyber security exercises: A comparison of participant evaluation metrics and scoring systems
(Ios Press, 2017)Cyber security exercises became an important tool for the information security domain for various reasons. Raising awareness, improving readiness to cyber-attacks, and testing capabilities of experts before a real incident ... -
The analysis of text categorization represented with word embeddings using homogeneous classifiers
(Institute of Electrical and Electronics Engineers Inc., 2019)Text data mining is the process of extracting and analyzing valuable information from text. A text data mining process generally consists of lexical and syntax analysis of input text data, the removal of non-informative ... -
Deep learning for inverse problems in imaging
(IEEE, 2019)Inverse problems have been widely studied in image processing, with applications in areas such as image denoising, blind/non-blind deblurring, super-resolution and compressive sensing. Lately deep learning techniques and ... -
A model based on random walk with restart to predict circRNA-disease associations on heterogeneous network
(Association for Computing Machinery, 2019)Recent studies show that circRNAs have critical roles in many biological processes. Knowing the associations between circRNAs and diseases may contribute to the understanding of the mechanism of circRNAs and to the diagnostic ... -
Uzaktan algılanan görüntülerde bina yoğunluğu kestirimi için derin öğrenme
(Institute of Electrical and Electronics Engineers Inc., 2019)Bu bildiri, derin öğrenme yöntemleri uygulayarak uzaktan algılamalı optik görüntülerde bina yoğunluğunun noktasal olarak kestirilmesi ile ilgilidir. Bu çalışma kapsamında, evrişimsel sinir ağına (ESA) dayalı derin öğrenme ... -
The evaluation of word embedding models and deep learning algorithms for Turkish text classification
(IEEE (Institute of Electrical and Electronics Engineers), 2019)The use of word embedding models and deep learning algorithms are currently the most common and popular trends to enhance the overall performance of a text classification/categorization system. Word embedding models are ... -
Sentiment analysis based churn prediction in mobile games using word embedding models and deep learning algorithms
(Institute of Electrical and Electronics Engineers Inc., 2020)Customer churn is one of the most important problems for many industries, including banking, telecommunications, and gaming. In the gaming market, it is observed that the demand on game applications rises with the usage ... -
Spectrum occupancy prediction exploiting time and frequency correlations through 2D-LSTM
(Institute of Electrical and Electronics Engineers Inc., 2020)The identification of spectrum opportunities is a pivotal requirement for efficient spectrum utilization in cognitive radio systems. Spectrum prediction offers a convenient means for revealing such opportunities based on ... -
Non-orthogonal multiple access for terahertz communication networks
(Institute of Electrical and Electronics Engineers Inc., 2020)Terahertz communications is one of the promising technologies for the future mobile communication networks. Due to the ever increasing need for high-speed data transfer, higher bandwidths are required. As a solution, higher ... -
Recent trends in emotion analysis: A big data analysis perspective
(IEEE-Institute of Electrical and Electronics Engineers, 2020)Human action recognition has recently started to find its way into applications in different applications. Accordingly, human action recognition methods are becoming increasingly important in our daily life. They are used ... -
Utilizing transfer learning and a customized loss function for optic disc segmentation from retinal images
(Springer Science and Business Media Deutschland GmbH, 2021)Accurate segmentation of the optic disc from a retinal image is vital to extracting retinal features that may be highly correlated with retinal conditions such as glaucoma. In this paper, we propose a deep-learning based ... -
Analysis of deep learning based path loss prediction from satellite images
(Institute of Electrical and Electronics Engineers Inc., 2021)Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands ... -
Geniş alan görüntülerinde anomali tespiti
(Institute of Electrical and Electronics Engineers Inc., 2021)Bu çalışma hava araçlarından çekilmiş geniş alan görüntülerindeki anomalileri tespit etmek ile ilgilidir. Anomali kümesi normal seyrin dışındaki her şey olarak belirlenmiştir. Bu amaçla iki farklı veri seti kullanılmış ve ... -
Low-complexity deep learning-based beamforming in MISO systems
(Institute of Electrical and Electronics Engineers Inc., 2021)This study proposes a low-complexity deep learning-based beamforming neural network (BFNN) for massive multiple-input single-output (MISO) systems. We adopt an unsupervised learning-based convolutional neural network (CNN) ... -
Improved YOLOv4 for aerial object detection
(Institute of Electrical and Electronics Engineers Inc., 2021)Drones equipped with cameras are being used for surveillance purposes. These surveillance systems need vision-based object detection of ground objects which look very small because of the altitude of drones. We propose an ... -
Transfer learning through weighted loss function and group normalization for vessel segmentation from retinal images
(Institute of Electrical and Electronics Engineers Inc., 2021)The vascular structure of blood vessels is important in diagnosing retinal conditions such as glaucoma and diabetic retinopathy. Accurate segmentation of these vessels can help in detecting retinal objects such as the optic ...