Results 51 to 60 of about 3,303,661 (290)

A consistency method of discharge detection results at solar‐blind ultraviolet based on a radiation transmission model

open access: yesIET Science, Measurement & Technology, 2022
Solar‐blind ultraviolet (UV) discharge detection based on UV signals in the solar‐blind band from 240 to 280 nm is an effective non‐contact discharge detection method for electrical equipment, but there is still a problem that the detection results of ...
Yunpeng Liu   +4 more
doaj   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

open access: yesFEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard   +12 more
wiley   +1 more source

Blind detection of cyclostationary signals based on multi‐antenna beamforming technology

open access: yesIET Communications, 2021
Cyclostationary feature detection is one of the widely used spectrum sensing techniques. Its greatest advantage is that it can effectively separate the signal from the noise under the condition of a low signal‐noise ratio (SNR).
Jie Wang   +3 more
doaj   +1 more source

Treatment with KCL‐286, a first‐in‐class retinoic acid receptor‐β (RARβ) agonist, ameliorates neuronal DNA damage and inflammation in a mouse model of Alzheimer's disease

open access: yesFEBS Open Bio, EarlyView.
Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill   +6 more
wiley   +1 more source

Semi-blind joint maximum likelihood channel estimation and data detection for MIMO systems

open access: yes, 2008
Semi-blind joint maximum likelihood (ML) channel estimation and data detection is proposed for multiple-input multiple-output (MIMO) systems. The joint ML optimization over channel and data is decomposed into an iterative two-level optimization loop.
Chen, Sheng   +2 more
core   +1 more source

An improved blind detection algorithm of chaos Hopfield neural network

open access: yesDianxin kexue, 2018
In order to improve the flexibility of the activation function of the blind detection algorithm in Hopfield neural network,an activation function with better nonlinear approximation ability near the origin was proposed.For the case where the algorithm ...
Dawei YU, Shaowei CHEN, Shujuan YU
doaj  

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

open access: yesFEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss   +7 more
wiley   +1 more source

ICA based blind detection scheme in space-time block coding communications

open access: yesTongxin xuebao, 2007
Space-time block coding(STBC) schemes are capable of improving system performance by using transmit diversity strategy and specific coding schemes.Nevertheless,they need precise channel state information(CSI) at the receiver end in order to achieve good ...
XU Hong-ji 1   +3 more
doaj  

Computationally Efficient Wideband Spectrum Sensing through Cumulative Distribution Function and Machine Learning

open access: yesJournal of Communications Software and Systems
Blind spectrum sensing (BSS) is crucial for identifying unknown signals in scenarios with limited prior knowledge. Traditional methods face challenges with unknown and timevarying signals, especially in the presence of noise interference.
Jakub Nikonowicz   +2 more
doaj   +1 more source

Blind weak signal detection via dictionary learning in time-spreading distortion channels using vector sensors [PDF]

open access: yesJASA Express Letters
This paper presents a blind passive signal detection method for underwater sparse time-spreading distortion (TSD) channels, employing a dictionary learning (DL) algorithm.
Rami Rashid   +2 more
doaj   +1 more source

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