Results 41 to 50 of about 11,014,670 (216)
Multichannel signal detection in interference and noise when signal mismatch happens [PDF]
Signal Processing, 2019 In this paper, we consider the problem of detecting a multichannel signal in interference and noise when signal mismatch happens. We first propose two selective detectors, since their strong selectivity is preferred in some situations. However, these two
Weijian Liu +4 more
semanticscholar +1 more source
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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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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Enhanced Colorimetric Signal for Accurate Signal Detection in Paper-Based Biosensors
Diagnostics, 2020 Paper-based colorimetric biosensors combine the use of paper with colorimetric signal detection. However, they usually demonstrate lower sensitivities because a signal amplification procedure has not been used.
Dorin Harpaz +4 more
semanticscholar +1 more source
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
doaj +1 more source
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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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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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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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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