Decision Tree Predictive Learner-Based Approach for False Alarm Detection in ICU
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1337-y
Abstract: In this work, a novel method has been proposed for false alarm detection in Intensive Care Unit (ICU) during arrhythmia. To detect false alarm, various inputs are used such as electrocardiogram (ECG) signals, atrial blood… read more here.
Keywords: alarm detection; alarm; false alarm; tree predictive ... See more keywords
An improved CFAR algorithm for multiple environmental conditions
Sign Up to like & getrecommendations! Published in 2024 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-024-03001-x
Abstract: The primary objective of radar digital signal processing is to detect and identify targets in complicated situations, such as those involving clutter or several closely positioned targets. The constant false alarm rate (CFAR) method is… read more here.
Keywords: cfar; environmental conditions; cfar algorithm; alarm rate ... See more keywords
A new approach for oil tank detection using deep learning features with control false alarm rate in high-resolution satellite imagery
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2019.1685720
Abstract: ABSTRACT Oil tank detection is a challenging task, primarily due to high time-consumption. This paper aims at further investigating this challenge and proposes a new hierarchical approach to detect oil tanks, especially with respect to… read more here.
Keywords: detection; false alarm; feature; approach ... See more keywords
In-control performance of the joint Phase II − S control charts when parameters are estimated
Sign Up to like & getrecommendations! Published in 2018 at "Quality Engineering"
DOI: 10.1080/08982112.2017.1349914
Abstract: ABSTRACT The issue of the effects of parameter estimation on the in-control performance of control charts has motivated researchers for several decades. In this context, recently, acknowledging what has been called by some the practitioner-to-practitioner… read more here.
Keywords: phase; control; control performance; false alarm ... See more keywords
Misrepresenting Health Conditions Through Fabrication and Exaggeration: An Adaptation and Replication of the False Alarm Effect
Sign Up to like & getrecommendations! Published in 2018 at "Health Communication"
DOI: 10.1080/10410236.2017.1283563
Abstract: ABSTRACT This article reports on a series of studies of the false alarm effect (FAE), suggesting that individuals’ perceptions that relational partners are fabricating and exaggerating their health conditions are negatively associated with perceptions of… read more here.
Keywords: false alarm; condition; health conditions; credibility ... See more keywords
A False alarm Elimination Algorithm of Foreign Objects Debris Detection Based on Duffing Oscillator
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3142090
Abstract: The main challenge of foreign objects debris (FOD) monitoring based on millimeter-wave (MMW) radar is the interference of strong ground clutter. The clutter-map constant false alarm rate (CM-CFAR) method is commonly utilized for FOD monitoring,… read more here.
Keywords: detection; foreign objects; alarm elimination; false alarm ... See more keywords
Predicting False Alarm Rates for High-Resolution Antisubmarine Warfare Sonars in a Cluttering Environment Prone to False Alarm Rate Inflation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2019.2936642
Abstract: Operation of high-resolution, broadband, antisubmarine warfare sonars in littoral waters is challenging, since the presence of sea mounts, underwater ridges, and other topographic features causes increased false alarm rates. Two important contributors to the raised… read more here.
Keywords: false alarm; presence; high resolution; alarm rate ... See more keywords
OCDMA-Based LiDAR Systems: Reducing False Alarm Probabilities in Autonomous Driving
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2024.3524410
Abstract: In this paper, based on the geometric model of mutual interference between LiDAR systems, and according to the Lambert surface radiation law of objects, the expression of the optical power of the reflected signal received… read more here.
Keywords: system; alarm; alarm probability; lidar systems ... See more keywords
Anomaly Detection From the Signal of Low-Cost Laser Device Without the False Alarm and the Missing
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2018.2819171
Abstract: We present a low-cost intruder detection system that recognizes an anomaly using a parametric statistical technique, of which the complexity of computation is linear for data size and the probability of false alarm and miss… read more here.
Keywords: low cost; anomaly detection; false alarm;
Higher-Order Moment-Based Anomaly Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2021.3058269
Abstract: The identification of anomalies is a critical component of operating complex, large-scale and geographically distributed cyber-physical systems. While designing anomaly detectors, it is common to assume Gaussian noise models to maintain tractability; however, this assumption… read more here.
Keywords: false alarm; order moment; higher order; alarm rate ... See more keywords
Neural-Network-Based False Alarm Controllable Detector for Weak Targets via a Differentiable NP Loss
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2025.3572501
Abstract: Weak target detection has been a vital challenge due to the low signal-to-noise ratio. Traditional detectors based on statistical characteristics may suffer from the difficulty of precise model estimation. On the other hand, existing neural… read more here.
Keywords: loss; weak targets; detector; neural network ... See more keywords