Results 21 to 30 of about 770,565 (262)
High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements
IEEE Access, 2021 Statistics in terms of spectrum occupancy are useful for efficient and smart dynamic spectrum sharing, and the statistics can be obtained by long-term and wide-band spectrum measurements.
Hiroki Iwata +3 more
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Energy-based Out-of-distribution Detection
CoRR, 2020 Determining whether inputs are out-of-distribution (OOD) is an essential building block for safely deploying machine learning models in the open world. However, previous methods relying on the softmax confidence score suffer from overconfident posterior distributions for OOD data.
Liu, W, Wang, X, Owens, JD, Li, Y
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Nanoscale Research Letters, 2017 Pure aluminum oxide (Al2O3) and zinc aluminum oxide (Zn x Al1-x O) thin films were deposited by atomic layer deposition (ALD). The microstructure and optical band gaps (E g ) of the Zn x Al1-x O (0.2 ≤ x ≤ 1) films were studied by X-ray diffractometer ...
Baojun Yan +5 more
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Enhanced Sensing and Sum-Rate Analysis in a Cognitive Radio-Based Internet of Things
Sensors, 2020 Spectrum sensing plays a vital role in cognitive radio networks (CRNs) for identifying the spectrum hole. However, an individual cognitive radio user in a CRN does not obtain sufficient sensing performance and sum rate of the primary and secondary links ...
Md. Sipon Miah +5 more
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On the Signal-to-Noise Ratio Wall of Energy Detection in Spectrum Sensing
IEEE Access, 2022 In this paper, a comprehensive analysis of the signal-to-noise ratio wall (SNRw) of cognitive radio (CR)-based non-cooperative spectrum sensing (nCSS) and cooperative spectrum sensing (CSS) using energy detection (ED) is presented. The analysis considers
Lucas Dos Santos Costa +2 more
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Spectrum sensing-focused cognitive radio network for 5G revolution
Frontiers in Environmental Science, 2023 The cognitive radio network (CRN), an instrumental part of the next-generation wireless communication systems, is mainly dependent on spectrum sensing to function properly.
Farhan Ali, He Yigang, He Yigang
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Energy-Based Anomaly Detection and Localization
CoRR, 2021 9 pages, 3 figures, as submitted to EBM ICLR 2021 ...
Ergin Utku Genc +3 more
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Detecting ντ oscillations at PeV energies [PDF]
Astroparticle Physics, 1995 It is suggested that a large deep underocean neutrino detector, given the presence of significant numbers of neutrinos in the PeV range as predicted by various models of Active Galactic Nuclei, can make unique measurements of the properties of neutrinos.
Learned, John G., Pakvasa, Sandip
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IEEE Access, 2021 The paper investigates statistical distribution testing-based detection methods in an intermittent signal detection scenario. The relevance of the research is driven by 5G networks based on packet transmission, incorporating the concept of cognitive ...
Jakub Nikonowicz, Mieczyslaw Jessa
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Deep RP-CNN for Burst Signal Detection in Cognitive Radios
IEEE Access, 2020 This article proposes a convolutional neural network (CNN)-based signal detection scheme using image encoding techniques for burst signals in wireless networks.
Dongho Seo, Haewoon Nam
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