Edge Detection via Edge-Strength Estimation Using Fuzzy Reasoning and Optimal Threshold Selection Using Particle Swarm Optimization by Ajay Khunteta, D. Ghosh

“…This threshold is selected such that the overall probability of error in identifying edge pixels, that is, the sum of the probability of misdetection and the probability of false alarm, is minimum. This minimization is achieved via particle swarm optimization (PSO). …”
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Robust Wiener filter‐based time gating method for detection of shallowly buried objects by Ali Gharamohammadi, Fereidoon Behnia, Arash Shokouhmand, George Shaker

“…Abstract A robust method for ultra‐wideband (UWB) imaging of buried shallow objects based on time gating, Wiener filtering, as well as constant false alarm rate (CFAR) is proposed. Moreover, it is demonstrated that Wiener filtering can be used as a clutter removal tool in UWB signal applications. …”
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Multifeature Fusion Vehicle Detection Algorithm Based on Choquet Integral by Wenhui Li, Peixun Liu, Ying Wang, Hongyin Ni

“…Our method can not only improve the detection rate but also reduce the false alarm rate, which meets the engineering requirements of Advanced Driving Assistance Systems (ADAS).…”
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Improving Network Security: An Intelligent IDS with RNN-LSTM and Grey Wolf Optimization by murtadha ali

“…Based on the behavior of grey wolf, an optimization technique GWO is implemented for intrusion detection to enhance accuracy and minimize false alarm in RNN-LSTM. Preprocess and segment network data with creating RNN-LSTM model for considering the dependence of our dataset Our approach improves the IDS performance by optimizing hyperparameters such as hidden layers, units, learning rates using GWO. …”
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Using a mobile application for antiretroviral therapy adherence in people living with HIV: A longitudinal pilot study by Rejane Caetani, Susana L. Wiechmann, Jacques D. Brancher, Vitor H.F Oliveira, Rafael Deminice

“…The application was developed by the researchers, and uses an alarm system to record ART use. Adherence was also assessed using the ‘Cuestionario para la Evaluación de la Adhesión al Tratamiento Antiretroviral’ (CEAT-VIH) and the Multi-Method Tool questionnaire. …”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…Additionally, characteristics including bit error rate (BER), power spectral density (PSD), probability of detection (pd), and probability of false alarm (pfa) were researched and evaluated for 500 and 1000 samples. …”
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Research on anomaly detection and correction of power metering data based on machine learning algorithm by Sida Zheng, Meiying Zhu, Ying Liu

“…The existing methods of abnormal detection and location of electric energy metering are mainly through the analysis of the abnormal data alarm issued by the electric energy acquisition system and the on-site inspection of the metering device. …”
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Detection Performance of Polarization and Spatial Diversities for Indoor GNSS Applications by Mohammadreza Zaheri, Ali Broumandan, Vahid Dehghanian, Gérard Lachapelle

“…Experimental results show that, for a given target detection performance in terms of the probability of false alarm and the probability of detection, the required input SNR level to meet the target detection performance can be significantly reduced utilizing the diversity system.…”
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Predator–prey interaction in insects and arachnids: a chemical ecology perspective by Vivek Kempraj, Soo Jean Park

“…Predator–prey interaction has sequential stages starting with initial detection, attack by the predator or either evasion or counterattack by the prey, capture by the predator or escape by the prey, and ingestion by the predator or alarm by the prey. At each stage of the predator–prey interaction sequence, stage-specific semiochemicals may be released by both the predator and the prey. …”
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Multiantenna Spectrum Sensing in the Presence of Multiple Primary Users over Fading and Nonfading Channels by Dayan Adionel Guimarães, Rausley Adriano Amaral de Souza, Guilherme Pedro Aquino

“…The basis of this paper is Wei and Tirkkonen, 2012, in which expressions for the key performance metrics of the sphericity test applied to the multiantenna cooperative spectrum sensing of multiple primary transmitters in cognitive radio networks over nonfading channels are provided. The false alarm and the detection probabilities were derived in Wei and Tirkkonen, 2012, based on approximations obtained by matching the moments of the test statistics to the Beta distribution. …”
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Exploring Contingency Skill Scores Based on Event Sizes by S. W. Kahler, H. Darsey

“…It is more important that large events be well forecasted than threshold events. In addition, false alarms may be useful when they match observed events just below the forecast threshold. …”
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Forest Fire Detection Using Wireless Sensors and Networks by Mingyue Wang

“…In this work, all nodes only use temperature sensors and they are programmed on a certain threshold temperature, above it the node will send an alarm message to the sink. This concept relies solely on the node behavior to alert of crises possibility using simple node components to provide detection and information on whether this is a peaceful fire, or the beginning of wild fire. …”
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A method for locating fault sections of power optical communication network intelligent operation and maintenance equipment off-grid based on Dijkstra algorithm by Hailong ZHANG, Bo LI, Najuan JIA

“…In order to determine the mapping relationship between the off grid fault section and the fault current distribution, and find the shortest path between the off grid fault section and the fault current distribution, an off grid fault section location method based on Dijkstra algorithm was designed for the intelligent O＆amp;M equipment of the electro-optical communication network.The LightGBM algorithm in the data-driven method was selected to determine the mapping relationship between the off grid fault section and the fault current distribution through a large number of samples.Based on Dijkstra algorithm, the shortest path of mapping relationship was found, and the off network fault section was searched.The location platform for off grid fault section of intelligent operation and maintenance equipment of power optical communication network was designed to realize the location and alarm of off grid fault point, namely, signal loss of intelligent operation and maintenance equipment.The comparison experiment shows that the location result of this method was the closest to the actual location and the most accurate in the off network fault section location caused by the interruption of optical cable in the SDH ring network circuit area, the off network fault section location caused by the fault of optical cable in the multi way bus section, and the off network fault section location scenario caused by the fault of optical cable in the multi way bus section in the ring power area.It effectively improved the accuracy of fault location and has good applicability.…”
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Incoherent Integration Detection Method of Airborne Phased Array Radar in a Multipath Environment by Yili Hu, Yongbo Zhao, Sheng Chen

“…Considering these two characteristics, this paper first proposes a target pairing algorithm for matching the DP range and multipath range of the same target in signal detection, and then, combined with the cell-averaging constant false alarm rate (CA-CFAR) detection model, an incoherent integration detection method for airborne PAR in the multipath environment is proposed. …”
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Multivariate Statistics and Supervised Learning for Predictive Detection of Unintentional Islanding in Grid-Tied Solar PV Systems by Shashank Vyas, Rajesh Kumar, Rajesh Kavasseri

“…For reducing the false alarm rate of anomaly detection, Kullback-Leibler (K-L) divergence was applied on the principal component projections which concluded that Q statistic based approach alone is not reliable for detection of the symptoms liable to cause unintentional islanding. …”
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Migration and mutation (MeTa) hybrid trained ANN for dynamic spectrum access in wireless body area network by Geoffrey Eappen, Shankar T, Rajesh A

“…Numerical results demonstrate the superiority of the MeTa hybrid NN in terms of detection probability, false alarm probability, and convergence rate compared to existing conventional spectrum sensing schemes. …”
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WMSNs Data Hidden Anomaly Detection Based on OH-KFJLT Bloom Filter by Chenkai Xiao, Zhongsheng Li, Yanming Wu

“…In the simulation experiments conducted on the NAB, SMD, and COCO benchmark datasets, the False Alarm Rate (FAR) of the OFBFAD algorithm is all lower than 5%. …”
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AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system by C. Rajathi, P. Rukmani

“…The proposed AccFIT-IDS achieves 99.86% accuracy, with precision, recall and F1-score of 99.81%, 99.92% and 99.86%, respectively, and a false alarm rate of 0.0021, demonstrating its effectiveness.…”
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Digital Twin-Based Modeling of Complex Systems for Smart Aging by Yiyi Deng

“…The fall detection results based on the digital twin selected thresholds are significantly better than the experimental results of the manually set threshold method; the thresholds set by the digital twin can more accurately identify daily behaviors, especially the more violent daily behaviors such as lying down, and the accurate alarm rate of the falling behavior reaches 92.5%. …”
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An Intelligent FPGA Based Anti-Sweating System for Bed Sore Prevention in a Clinical Environment by K. S. Jaichandar, Sampath Kumar, Chew kweeTiang, Siew Fong, Stewart Tai

“…Based on the temperature change, the FPGA chip select the - mode (heater/cooler) and speed of the fan module. Furthermore, an alarm module was implemented to alert the nurse to reposition the patient only if patient’s skin to bed surface temperature exceeds a predefined threshold thereby saving human resources. …”
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