Performance modulations phase-locked to action depend on internal state by Tommaso Tosato, Guillaume Dumas, Gustavo Rohenkohl, Pascal Fries

“…Additionally, participants with no false alarms showed similar modulation. These effects were significant in random effects tests, suggesting that they generalize to the population. …”
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Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models by Yu Zhang, Chris Bingham, Miguel Martínez-García, Darren Cox

“…A variational Bayesian method allows a GMM to cluster with its mixture components to facilitate the extraction of steady-state operational behaviour; this is recognised as being a primary factor in reducing the susceptibility of alternative prognostic/diagnostic techniques, which would initiate false-alarms resulting from control set-point and load changes. …”
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Automatic incident detection in smart city using multiple traffic flow parameters via V2X communication by Zafar Iqbal, Majid Iqbal Khan

“…These systems are prone to delay, inaccuracy, and false alarms during data collection and processing due to line of sight and short-range communication, weather conditions, road repairing, and driver’s driving patterns. …”
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A Novel Methodology for Performance Evaluation in Advanced Quality Control by Ethel García, Rita Peñabaena-Niebles, Winston S. Percybrooks, Kevin Palomino

“…Unlike previous research, our evaluation methodology addresses the sensitivity of classification models to various factors, emphasising the critical balance between early detection and minimising false alarms. The findings reveal that window size significantly impacts the model’s sensitivity to pattern changes, highlighting that measuring early detection alone is impractical in real-world applications. …”
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Mirror Target YOLO: An Improved YOLOv8 Method With Indirect Vision for Heritage Buildings Fire Detection by Jian Liang, Junsheng Cheng

“…Additionally, avoiding false alarms due to noise sensitivity and preserving the expertise of managers in fire-prone areas is crucial. …”
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Identification of innovation drivers based on technology-related news articles by Albina Latifi, David Lenz, Peter Winker

“…However, given that the rate of false alarms is not negligible, at the end also human judgement is needed when using this approach.…”
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Dynamic Collision Alert System for Collaboration of Construction Equipment and Workers by Ren-Jye Dzeng, Binghui Fan, Tian-Lin Hsieh

“…While close collaboration among multiple equipment and humans is common, conventional collision alert mechanisms for equipment usually rely on distance sensors with static thresholds, often resulting in too many false alarms, causing drivers’ ignorance. Considering the collaborative operation scenario, this research proposes and develops a dynamic-threshold alert system by recognizing hazardous events based on the types of nearby objects with their orientation or postures and their distances to the system carrier equipment based on image-based recognition and Sim2Real techniques. …”
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Trigonometric Regression for Analysis of Public Health Surveillance Data by Steven E. Rigdon, George Turabelidze, Ehsan Jahanpour

“…Specifically, we estimate the probability of detection (POD), the average number of weeks to signal given that a signal has occurred (conditional expected delay, or CED), and the false-positive rate (FPR, the average number of false-alarms per year).…”
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Floating Neutral Detection Using Actual Generation of Form 2S Meters by I. Vicente, A. Arrinda, J. E. Rodriguez-Seco, L. Piyasinghe

“…The proposed novel detector approach shows zero false alarms in the houses tested and a detection time that allows the fault to be detected before significant damage occurs to the house.…”
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Successful Renal Transplantation after Presumed Cyanide Toxicity Treated with Hydroxocobalamin and Review of the Literature by Ryan J. Hendrix, Paulo N. Martins, Jeffrey S. Stoff, Aaron Ahearn, Adel Bozorgzadeh, Babak Movahedi

“…Furthermore, difficulties performing hemodialysis in patients treated with hydroxocobalamin have been reported due to discoloration of the effluent fluid impacting the colorimetric sensor, causing false alarms and repetitive interruptions. As such, many transplant centers in the United States (US) continue to reject these organs. …”
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Combined dynamic multi-feature and rule-based behavior for accurate malware detection by Mohamed Belaoued, Abdelaziz Boukellal, Mohamed Amir Koalal, Abdelouahid Derhab, Smaine Mazouzi, Farrukh Aslam Khan

“…However, they are known for their high false alarms, which is still a very challenging problem. …”
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Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Furthermore, the current methods consistently produce false alarms and sometimes completely miss real threats. …”
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Real-time dose prediction for Artemis missions by Hu Shaowen, Barzilla Janet E., Núñez Marlon, Semones Edward

“…ARRT 2.0 also shows capability to distinguish minor events from significant ones to screen false alarms that will cause disruptions for space activities. …”
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An early warning system for oil wells based on improved long short-term memory network by Jinman Li, Jinman Li, Chunsheng Zhang, Yang Lin, Yimeng Liu, Qingshuang Jin, Tianhao Xiao, Xiaoqi Liu, Ying Zhang

“…Field applications validate the effectiveness of the model, demonstrating reduced false alarms and missed warnings, while accurately predicting abnormal increases in water cut. …”
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HESPERIA REleASE+: Improving Solar Proton Event Forecasting by Means of Automated Recognition of Type‐III Radio Bursts by Arik Posner, Olga Ε. Malandraki, Michalis Karavolos, Kostas Tziotziou, Fanis Smanis, Bernd Heber, Henrik Dröge, Patrick Kühl, Giorgos P. Veldes

“…We test a new system that sets a condition of the occurrence of a type‐III radio burst, thus adding independent evidence of particle escape from the Sun, with the aim of reducing known sources of false‐alarms of the existing REleASE system. The High Energy Solar Particle Events foRecastIng and Analysis (HESPERIA) REleASE+ system, which takes advantage of availability of real‐time solar radio observations during the passage of STEREO‐A by Earth in 2023, has now been incorporated in the HESPERIA framework. …”
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YOLOV9-CBM: An Improved Fire Detection Algorithm Based on YOLOV9 by Xin Geng, Xiao Han, Xianghong Cao, Yixuan Su, Dongxue Shu

“…Regarding the current problems of false alarms and missed detections in fire detection, we propose a high-precision fire detection algorithm, YOLOV9-CBM (C3-SE, BiFPN, MPDIoU), by optimizing YOLOV9. …”
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Patient-Independent Epileptic Seizure Detection with Reduced EEG Channels and Deep Recurrent Neural Networks by Nadine El-Dajani, Tim Friedrich Lutz Wilhelm, Jan Baumann, Rainer Surges, Bernd T. Meyer

“…The usage of BTE channels as input to the proposed epileptic seizure detection produced a promising sensitivity of 68% with around 10 false alarms per hour.…”
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Non-Concentric Differential Model with Geographic Information-Driven Weights Allocation for Enhanced Infrared Small Target Detection by Lingbing Peng, Zhi Lu, Tao Lei, Ping Jiang

“…Many specific scenarios can lead to target loss, such as edge-adjacent targets, intersecting targets, low contrast caused by locally bright backgrounds, and false alarms induced by globally bright backgrounds. …”
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Anomaly Detection in Spatiotemporal Data from Fiber Optic Distributed Temperature Sensing for Outdoor Fire Monitoring by Haitao Bian, Xiaohan Luo, Zhichao Zhu, Xiaowei Zang, Yu Tian

“…Furthermore, the findings emphasize that environmental factors such as extreme temperatures and rapid temperature fluctuations can affect detection outcomes, increasing the likelihood of false alarms. This research underscores the potential of utilizing FO-DTS spatiotemporal data with CNN-AE for outdoor fire detection in complex scenarios and provides suggestions for mitigating environmental interference in practical applications.…”
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Large Convolution Kernel Network With Edge Self-Attention for Oriented SAR Ship Detection by Yan Feng, Yupeng Zhang, Xiangqing Zhang, Yuning Wang, Shaohui Mei

“…These issues result in inaccurate ship positioning in complex scenes and a high rate of false alarms. To address the above challenges, we propose a large convolution kernel network with edge self-attention for oriented SAR ship detection (LKE-Det), which can accurately detect arbitrarily rotated ship targets in SAR images. …”
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