Yazar "Ateş, Hasan Fehmi" için Makale Koleksiyonu listeleme
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Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
Ateş, Hasan Fehmi; Yıldırım, Süleyman; Güntürk, Bahadır Kürşat (Academic Press Inc., 2023)Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life images make it difficult to solve this ... -
Efficient spectrum occupancy prediction exploiting multidimensional correlations through composite 2D-LSTM models
Aygül, Mehmet Ali; Nazzal, Mahmoud; Sağlam, Mehmet İzzet; da Costa, Daniel Benevides; Ateş, Hasan Fehmi; Arslan, Hüseyin (MDPI, 2021)In cognitive radio systems, identifying spectrum opportunities is fundamental to efficiently use the spectrum. Spectrum occupancy prediction is a convenient way of revealing opportunities based on previous occupancies. ... -
HM-net: A regression network for object center detection and tracking on wide area motion imagery
Motorcu, Hakkı; Ateş, Hasan Fehmi; Uğurdağ, Hasan Fatih; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Wide Area Motion Imagery (WAMI) yields high resolution images with a large number of extremely small objects. Target objects have large spatial displacements throughout consecutive frames. This nature of WAMI images makes ... -
HMRN: heat map regression network to detect and track small objects in wide-area motion imagery
Ateş, Hasan Fehmi; Siddique, Arslan; Güntürk, Bahadır (Springer Science and Business Media Deutschland GmbH, 2023)We propose HMRN, a deep heat map regression network to detect and track small moving objects in wide-area motion imagery (WAMI) by modifying a deep multi-object tracker. Object detection in WAMI images is challenging, ... -
Path loss exponent and shadowing factor prediction from satellite images using deep learning
Ateş, Hasan Fehmi; Hashir, Syed Muhammad; Baykaş, Tuncer; Güntürk, Bahadır (Institute of Electrical and Electronics Engineers, 2019)Optimal network planning for wireless communication systems requires the detailed knowledge of the channel parameters of the target coverage area. Channel parameters can be estimated through extensive measurements in the ... -
PL-GAN: Path loss prediction using generative adversarial networks
Marey, Ahmed; Bal, Mustafa; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Accurate prediction of path loss is essential for the design and optimization of wireless communication networks. Existing path loss prediction methods typically suffer from the trade-off between accuracy and computational ... -
Predicting path loss distribution of an area from satellite ımages using deep learning
Ahmadien, Omar; Ateş, Hasan Fehmi; Baykaş, Tunçer; Güntürk, Bahadır Kürşat (IEEE - Institute of Electrical and Electronics Engineers, Inc., 2020)Path loss prediction is essential for network planning in any wireless communication system. For cellular networks, it is usually achieved through extensive received signal power measurements in the target area. When the ...