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Toplam kayıt 135, listelenen: 1-10
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 ...
On globalization and business competitiveness: A panel data country classification
(Ascociacion Internacional de Economia Aplicada, 2021)
Industrial competitiveness could be achieved through policies reforms favoring globalization process. The reality, however, is two-folded. Initially, government policies restrict globalization and impose barriers to trade, ...
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 ...
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 ...
Identification of the number of wireless channel taps using deep neural networks
(Institute of Electrical and Electronics Engineers Inc., 2021)
In wireless communication systems, identifying the number of channel taps offers an enhanced estimation of the channel impulse response (CIR). In this work, efficient identification of the number of wireless channel taps ...
Application-based coexistence of different waveforms on non-orthogonal multiple access
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2021)
In the study, the coexistence of different waveform structures on the same resource element is studied under the theory of non-orthogonal multiple access (NOMA). This study introduces a paradigm-shift on NOMA towards the ...
Signal statistics based multiple AP detection for smart spectrum sharing in LTE-U/Wi-Fi coexistence
(Institute of Electrical and Electronics Engineers Inc., 2021)
For existing IEEE 802.11ax and futurist Wi-Fi standards, one of the major challenges is fair coexistence with LTE-Unlicensed/5G-New Radio (LTE-U/5G-NR) and other internet of things (IoT) paradigms. An algorithm is developed ...
Floating OFDM-SNM for PAPR and OOBE reduction
(Institute of Electrical and Electronics Engineers Inc., 2021)
The novel orthogonal frequency division multiplexing with subcarrier number modulation (OFDM-SNM) transmission scheme offers high spectral and energy efficiency compared to the conventional OFDM; this is due to the extra ...
Efficient power allocation for cognitive radio NOMA using game-theoretic based pricing strategy
(Institute of Electrical and Electronics Engineers Inc., 2021)
Cognitive radio-based non-orthogonal multiple access (CR-NOMA) is considered to be one of the promising multiple accessing technique candidates for 5G and beyond networks. These networks are facing a lot of challenges to ...