Spectrum sensing for cognitive radio: Recent advances and future challenge

A Nasser, H Al Haj Hassan, J Abou Chaaya… - Sensors, 2021 - mdpi.com
Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …

[HTML][HTML] New challenges in wireless and free space optical communications

A Mansour, R Mesleh, M Abaza - Optics and lasers in engineering, 2017 - Elsevier
This manuscript presents a survey on new challenges in wireless communication systems
and discusses recent approaches to address some recently raised problems by the wireless …

Deep neural networks for spectrum sensing: a review

SN Syed, PI Lazaridis, FA Khan, QZ Ahmed… - IEEE …, 2023 - ieeexplore.ieee.org
As we advance towards 6G communication systems, the number of network devices
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …

A deep neural network model for hybrid spectrum sensing in cognitive radio

A Nasser, M Chaitou, A Mansour, KC Yao… - Wireless Personal …, 2021 - Springer
Spectrum sensing (SS) is an essential task of the secondary user (SU) in a cognitive radio
system. SS monitors the primary user (PU) activity in order to avoid any collision with SU, as …

Cumulative power spectral density‐based damping estimation

W Kim, JS Hwang, DK Kwon… - … Engineering & Structural …, 2024 - Wiley Online Library
Damping is one of the critical factors in evaluating the performance of a structure under
loads resulting from winds, waves, and earthquakes. Due to significant uncertainties …

Exploring the possible linkage between the precipitation and temperature over Iran and their association with the large-scale circulations: Cumulative spectral power …

A Neyestani, K Karami, S Gholami - Atmospheric Research, 2022 - Elsevier
The current study aims at improving our common knowledge of precipitation and surface
temperature variabilities in Iran across different time scales (from intra-annual to decadal) by …

Power spectral density analysis for optimizing SERS structures

E Babich, S Scherbak, E Lubyankina, V Zhurikhina… - Sensors, 2022 - mdpi.com
The problem of optimizing the topography of metal structures allowing Surface Enhanced
Raman Scattering (SERS) sensing is considered. We developed a model, which randomly …

Acceptability of the effective strain damage model for fatigue life assessment considering the load sequence effect for automotive coil spring

CH Chin, AAA Rahim, S Abdullah, SSK Singh… - Engineering Failure …, 2021 - Elsevier
This paper aims to assess the effective strain damage (ESD) model with a durability analysis
of an automobile coil spring under consideration of the load sequence effect. Conventional …

Rebalancing Mel-frequency Cepstrum and parallel fusion model for surface hardness monitoring of laser shock peening using acoustic emission

Z Zhang, X Xiang, R Qin, Z Du, J Huang, X Chen… - … Systems and Signal …, 2025 - Elsevier
Laser shock peening (LSP) technology is commonly used to strengthen and extend the life
of components such as aero-engine compressor blades. Online monitoring of the LSP …

Fatigue strain signal reconstruction technique based on selected wavelet decomposition levels of an automobile coil spring

AAA Rahim, S Abdullah, SSK Singh… - Engineering Failure …, 2021 - Elsevier
This study aims to assess the fatigue life analysis of strain signals with the implementation of
a reconstruction of the signals of the discrete wavelet transform (DWT) decomposition …