Results 31 to 40 of about 3,120,826 (295)
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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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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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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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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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Inspired by the impressive achievements of convolutional neural networks in various computer vision tasks and the effective role of attention mechanisms, this article proposes a two-branch fusion network based on attention feature fusion (AFF) called ...
Xiwu Zhong +7 more
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Determining Dark Matter properties with a XENONnT/LZ signal and LHC-Run3 mono-jet searches [PDF]
, 2018 We develop a method to forecast the outcome of the LHC Run 3 based on the hypothetical detection of $\mathcal{O}(100)$ signal events at XENONnT. Our method relies on a systematic classification of renormalisable single-mediator models for dark matter ...
Baum, Sebastian +4 more
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Sensors, 2023 Multimodal sentiment analysis has gained popularity as a research field for its ability to predict users’ emotional tendencies more comprehensively.
Huiru Wang +4 more
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Overview of Vehicle Optical Wireless Communications
IEEE Access, 2020 Effective information transmission between vehicles has become one of the solutions to improve road safety. Based on the huge advantages of optical wireless data transmission technology, this article summarizes the research status of unmanned vehicles in
Hongye Mei +4 more
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Halo-independent tests of dark matter direct detection signals: local DM density, LHC, and thermal freeze-out [PDF]
, 2015 From an assumed signal in a Dark Matter (DM) direct detection experiment a lower bound on the product of the DM--nucleon scattering cross section and the local DM density is derived, which is independent of the local DM velocity distribution. This can be
Blennow, Mattias +3 more
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Combination of deep learning with representation learning in X-ray prohibited item detection
Frontiers in Physics, 2023 During X-ray inspection detection, a detector converts the collected X-rays from objects into electrical signals, which are then transmitted to a computer for image processing and analysis.
Jianghao Rao +8 more
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