Results 31 to 40 of about 9,828,805 (358)
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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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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New Journal of Physics, 2023 Herein, a multiple bulging black phosphorus (BP)-based metasurface is proposed for studying its reflection responses and sensing performances through the finite-difference time-domain simulation method. It is shown that, the reflection dips are caused by
Nengxun Yang +9 more
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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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“Utilizing” Signal Detection Theory [PDF]
Psychological Science, 2014 What do inferring what a person is thinking or feeling, judging a defendant’s guilt, and navigating a dimly lit room have in common? They involve perceptual uncertainty (e.g., a scowling face might indicate anger or concentration, for which different responses are appropriate) and behavioral risk (e.g., a cost to making the wrong response).
Spencer K, Lynn, Lisa Feldman, Barrett
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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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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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The Application of Signal Detection Theory to Acceptability Judgments
Frontiers in Psychology, 2020 Acceptability judgments have been an important tool in language research. By asking a native speaker whether a linguistic token is acceptable, linguists and psycholinguists can collect negative evidence and directly test predictions by linguistic and ...
Yujing Huang, F. Ferreira
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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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