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Toplam kayıt 149, listelenen: 21-30
Waveform-domain NOMA: The future of multiple access
(Institute of Electrical and Electronics Engineers Inc., 2020)
This paper introduces a novel non-orthogonal multiple access (NOMA) concept named waveform-domain NOMA, which proposes the coexistence of different waveforms in the same resource element (RE). Regarding the demands of each ...
Öğrenci mikroskobunda epifloresan görüntüleme
(Institute of Electrical and Electronics Engineers Inc., 2020)
Fluorescence microscopy is used as an important tool for research and education in the biological sciences. Fluorescence microscopes allow fluorescent signal to be obtained by stimulating markers in biological samples using ...
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 ...
A mobile parallel manipulator for the elbow rehabilitation of parkinsonian patients
(Institute of Electrical and Electronics Engineers Inc., 2020)
This study presents a two degrees of freedom (DoF) parallel manipulator that enables Parkinsonian Patients to regularly do the assigned rhythmic tasks in order to reduce the symptoms of motor disorders. Considering the ...
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 ...
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 ...
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 ...