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Toplam kayıt 37, listelenen: 1-10
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...