Cooperative spectrum sensing using extreme learning machines for cognitive radio networks

MK Giri, S Majumder - IETE Technical Review, 2022 - Taylor & Francis
In this article, a technique for cooperative spectrum sensing (CSS) using the Extreme
Learning Machine (ELM) is proposed. ELMs are feedforward neural networks where the …

Improving spectrum sensing for cognitive radio network using the energy detection with entropy method

MB Usman, RS Singh, S Mishra… - Journal of Electrical …, 2022 - Wiley Online Library
Spectrum is one of the world's most highly regulated and limited natural resources.
Cognitive Radio (CR) is a cutting‐edge technology that aims to solve the future spectrum …

Determination of Seven Human Milk Oligosaccharides (HMOs) in Infant Formula and Adult Nutritionals: First Action 2022.07

T Bénet, N Frei, V Spichtig, D Cuany… - Journal of AOAC …, 2024 - academic.oup.com
Abstract Background Human milk oligosaccharides (HMOs) are important components of
breast milk and may be responsible for some of the benefits of breastfeeding, including …

Analysis of six human milk oligosaccharides (HMO) in infant formula and adult nutritionals by 2AB labeling and quantification with HILIC-FLD: first action 2022.02

DJ Ellingson, AJ Ruosch, KL Foster… - Journal of AOAC …, 2023 - academic.oup.com
Background Human milk oligosaccharides (HMO) function as a prebiotic, enhance immune
functions, and support brain development for infants when fed mother's milk. These are …

A novel weak signal detector based on power spectrum entropy under low SNR

Z Hong, Y Xu - 2021 28th International Conference on …, 2021 - ieeexplore.ieee.org
Aiming at the problem of spectrum monitoring of low-power wideband signals in complex
electromagnetic environments, this paper proposes a double threshold weak signal detector …

Stage Spectrum Sensing Technique for Cognitive Radio Network Using Energy and Entropy Detection

MB Usman, RS Singh, S Rajkumar… - Wireless Power Transfer, 2022 - cambridge.org
The radio spectrum is one of the world's most highly regulated and limited natural resources.
The number of wireless devices has increased dramatically in recent years, resulting in a …

A nonlinear Lamb wave-based tight contact stage identification and pretightening state quantitative monitoring method for bolts

L Tian, T Wang, J Yang, J Xie, Z Zhang - 2023 - researchsquare.com
Bolt connections are subjected to severe service conditions, such as cyclic loading and
mechanical shock, leading to loosening failure. Commonly, the degradation of the bolt …

A quantitative monitoring method for the pretightening state of bolts based on nonlinear Lamb waves and incremental learning

T Wang, L Tian, J Yang, J Xie… - Nondestructive Testing and …, 2023 - Taylor & Francis
The degradation of the pretightening state of bolts is a multistage process. Utilising a single
model to monitor the pretightening state in the full degradation stage and continuously …

A Nonlinear Lamb Wave Based Tight Contact Stage Identification and Pre-Tightening State Quantitative Monitoring of Bolts

L Tian, T Wang, J Yang, J Xie, Z Zhang - Available at SSRN 4255404 - papers.ssrn.com
In this paper, a method for identifying the tight contact stage and quantitative monitoring of
the pre-tightening state to bolt loosening in TCS based on nonlinear Lamb waves is …

[PDF][PDF] Research Article Improving Spectrum Sensing for Cognitive Radio Network Using the Energy Detection with Entropy Method

MB Usman, RS Singh, S Mishra, DS Rathee - 2022 - academia.edu
Spectrum is one of the world's most highly regulated and limited natural resources.
Cognitive Radio (CR) is a cutting-edge technology that aims to solve the future spectrum …