ORCID "0000-0002-9054-0005" Computer Engineering için listeleme
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Cyber-WISE: A cyber-physical deep wireless indoor positioning system and digital twin approach
Karakuşak, Muhammed Zahid; Kıvrak, Hasan; Watson, Simon; Özdemir, Mehmet Kemal (Multidisciplinary Digital Publishing Institute (MDPI), 2023)In recent decades, there have been significant research efforts focusing on wireless indoor localization systems, with fingerprinting techniques based on received signal strength leading the way. The majority of the suggested ... -
Exploring deep learning for adaptive energy detection threshold determination: A multistage approach
Bedir, Oğuz; Ekti, Ali Rıza; Özdemir, Mehmet Kemal (Multidisciplinary Digital Publishing Institute (MDPI), 2023)The concept of spectrum sensing has emerged as a fundamental solution to address the growing demand for accessing the limited resources of wireless communications networks. This paper introduces a straightforward yet ... -
In silico analysis of a highly mutated gene in cancer provides insight into abnormal mRNA splicing: Splicing factor 3B subunit 1k700e mutant
Samy, Asmaa; Süzek, Barış Ethem; Özdemir, Mehmet Kemal; Şensoy, Özge (MDPI AG, 2020)Cancer is the second leading cause of death worldwide. The etiology of the disease has remained elusive, but mutations causing aberrant RNA splicing have been considered one of the significant factors in various cancer ... -
Low-complexity deep learning-based beamforming in MISO systems
Thet, Nann Win Moe; Elgammal, Khaled Walid; Ateş, Hasan Fehmi; Özdemir, Mehmet Kemal (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) ... -
RSS-based wireless LAN indoor localization and tracking using deep architectures
Karakuşak, Muhammed Zahid; Kıvrak, Hasan; Ateş, Hasan Fehmi; Özdemir, Mehmet Kemal (MDPI, 2022)Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to environmental constraints and the unpredictable behavior of signal propagation, even at a fixed location. The aim of this work is to develop ...