Results 1 to 10 of about 5,544,425 (254)
Constant false alarm rate detection of pipeline leakage based on acoustic sensors [PDF]
During the transportation of oil and gas pipelines, there are many potential factors that can lead to pipeline leakage with serious consequences, making automatic and real-time pipeline leakage detection urgent. In response to the inconvenience of manual
Guorui An, Zuheng Huang, Yanbing Li
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IntroductionEpilepsy is a neurological disease characterized by sudden, unprovoked seizures. The unexpected nature of epileptic seizures is a major component of the disease burden.
Galya Segal +9 more
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In this paper, the authors analyze the algorithm optimization and anomaly detection simulation based on extended jarvis-patrick clustering and outlier detection. We perform detection by using the jarvis-patrick graph-based clustering method.
Wei Wang, Xiaohui Hu, Yao Du
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A neural network framework for binary classification of radar detections
A desired objective in radar target detection is to satisfy two very contradictory requirements: offer a high probability of detection with a low false alarm rate.
Jabran Akhtar
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A multi-level hypoglycemia early alarm system based on sequence pattern mining
Background Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment.
Xia Yu +8 more
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Modified rank sum nonparametric CFAR to combat clutter edge
The classical rank sum (RS) nonparametric constant false alarm rate (CFAR) detector plays an important role in the theoretical study and practical application of radar target detection.
Meng Xiangwei, Meng Yuan
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Book Review. Why Constant False Alarm Rate? [PDF]
Thе book presents the algorithms that ensure the maintenance of a constant false alarm rate (CFAR detectors) in the detection of radar targets in conditions of an intensively noisy environment.
Ivan Popchev
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Forward Collision Warning Strategy Based on Millimeter-Wave Radar and Visual Fusion
Forward collision warning (FCW) is a critical technology to improve road safety and reduce traffic accidents. However, the existing multi-sensor fusion methods for FCW suffer from a high false alarm rate and missed alarm rate in complex weather and road ...
Chenxu Sun +5 more
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Forest Fire Monitoring Method Based on UAV Visual and Infrared Image Fusion
Forest fires have become a significant global threat, with many negative impacts on human habitats and forest ecosystems. This study proposed a forest fire identification method by fusing visual and infrared images, addressing the high false alarm and ...
Yuqi Liu +5 more
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Anomaly intrusion detection based on modified SVM
A modified SVM multi-classification algorithm integrated with discriminant analysis (D-SVM) was pro-posed,which could solve the problem of low detection accuracy and high false alarm rate caused by unbalanced datasets.For a multi-classification problem ...
Hui ZHANG, Cheng LIU
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