Results 111 to 120 of about 88,175,373 (256)
A Deep Learning Approach for Direction-of-Arrival Estimation in Low-SNR Environments
To address the significant performance degradation of traditional direction-of-arrival (DOA) estimation algorithms under low-signal-to-noise ratio (SNR) conditions, this paper proposes a deep learning-based super-resolution DOA estimation network (DSDE ...
Haiqin Zhao, Jian Gong, Changlin Zhou
doaj +1 more source
Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti +6 more
wiley +1 more source
A multi-filter system for speech enhancement under low signal-to-noise ratios
In this paper, the problem of deteriorating performance of speech recognition under very low signal-to-noise ratios (SNR) is considered. In particular, for a given pre-trained speech recognizer and for a finite set of speech commands, we show that ...
Nordholm, Sven +13 more
core +1 more source
In-Pixel source follower transistor RTS noise behavior under ionizing radiation in CMOS image sensors [PDF]
This paper presents temporal noise measurement results for several total ionizing dose (TID) steps up to 2.19 Mrad of an image sensor designed with a 0.18-μm CMOS image sensor process.
Goiffon, Vincent +2 more
core +1 more source
In response to the significant estimation errors in hop period and hop frequency under low signal-to-noise ratio (SNR) conditions, a method for hop period and hop frequency estimation based on maximum entropy binarization of time-frequency maps and a ...
HU Zhuyan +3 more
doaj
Review on Image Enhancement for Low SNR and Low-Light Scenes [PDF]
In the research on the analysis of low signal-to-noise ratio (SNR) and low-light scenes, image enhancement techniques have become a crucial pillar for driving visual intelligent perception.
LI Yuzhe, HAO Qinghua, GAO Zhifa, XIE Rongzhen, ZHAO Ling, ZHOU Yu
doaj +1 more source
Low-dose, phase-contrast mammography with high signal-to-noise ratio
Differential phase-contrast X-ray imaging using a Talbot-Lau interferometer has recently shown promising results for applications in medical imaging. However, reducing the applied radiation dose remains a major challenge. In this study, we consider the realization of a Talbot-Lau interferometer in a high Talbot order to increase the signal-to-noise ...
Lukas B, Gromann +11 more
openaire +2 more sources
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

