Results 21 to 30 of about 1,558,588 (319)
Use AF-CNN for End-to-End Fiber Vibration Signal Recognition
IEEE Access, 2021 Traditional optical fiber vibration signal (OFVS) recognition research focuses on signal endpoint detection and feature extraction. These two aspects directly determine the success of OFVS recognition.
Saisai Ruan +5 more
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What is the signal in signal detection? [PDF]
Perception & Psychophysics, 1974 This study concerns the nature of the stimulus represented along the decision axis in the yes/no auditory detection task. Two contrasting interpretations, absolute and difference representation of the stimulus, are tested by raising the carrier tone embedded within the background "noise" to the level of the signal, on occasional "catch" trials. Results
Ryder P., Pike R., Dalgleish L.
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Signal detection with spectrum windows
Heliyon, 2022 Spectrum sensing is needed in frequency agile cognitive radio systems, cognitive radar systems as well as in (cognitive) electronic warfare systems. This paper studies window based detectors where window shapes can be matched for the expected spectrum.
Saarnisaari Harri, Vartiainen Johanna
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Object Detection Based on YOLOv5 and GhostNet for Orchard Pests
Information, 2022 Real-time detection and identification of orchard pests is related to the economy of the orchard industry. Using lab picture collections and pictures from web crawling, a dataset of common pests in orchards has been created.
Yitao Zhang +4 more
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Spreadsheet signal detection [PDF]
Behavior Research Methods, Instruments, & Computers, 1999 A number of studies in perception, attention, and memory employ signal detection theory (SDT) to assess the accuracy of an observer's detection or discrimination performance. Some of the problems that students have with understanding and using SDT are associated with the calculations needed to obtain SDT parameters and predictions.
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Investigation into Recognition Technology of Helmet Wearing Based on HBSYOLOX-s
Applied Sciences, 2022 This work proposes a new approach based on YOLOX model enhancement for the helmet-wearing real-time detection task, which is plagued by low detection accuracy, incorrect detection, and missing detection.
Teng Gao, Xianwu Zhang
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MS-Net: a novel lightweight and precise model for plant disease identification
Frontiers in Plant Science, 2023 The rapid development of image processing technology and the improvement of computing power in recent years have made deep learning one of the main methods for plant disease identification.
Siyu Quan +9 more
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Detection of a signal in linear subspace with bounded mismatch [PDF]
, 2006 We consider the problem of detecting a signal of interest in a background of noise with unknown covariance matrix, taking into account a possible mismatch between the actual steering vector and the presumed one.
Besson, Olivier
core +1 more source
Neural Collaborative Autoencoder for Recommendation With Co-Occurrence Embedding
IEEE Access, 2021 Collaborative filtering is the one of the most successful methods used by recommendation system to solve the information overload problem. Nevertheless, most collaborative filtering only uses explicit rating information to model the user, ignoring the ...
Wei Zeng, Jiwei Qin, Chunting Wei
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Attention and Signal Detection [PDF]
Information, 2019 In this paper, I first review signal detection theory (SDT) approaches to perception, and then discuss why it is thought that SDT theory implies that increasing attention improves performance. Our experiments have shown, however, that this is not necessarily true.
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