Results 31 to 40 of about 3,092,636 (291)
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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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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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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High-Dimensional Matched Subspace Detection When Data are Missing [PDF]
, 2010 We consider the problem of deciding whether a highly incomplete signal lies within a given subspace. This problem, Matched Subspace Detection, is a classical, well-studied problem when the signal is completely observed. High- dimensional testing problems
Balzano, Laura +2 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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MIMO Signal Detection Using Neyman Pearson Signal Detection
IJIREEICE, 2015 In current scenario, the demand for wireless communication is increasing drastically. A wireless system has number of advantages over its wired counterpart including allowing a communication link to be set up quickly without the difficulty and expense of installing data transmission lines.
Deepali Kamble, C.A. Manjare
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Class Imbalanced Medical Image Classification Based on Semi-Supervised Federated Learning
Applied Sciences, 2023 In recent years, the application of federated learning to medical image classification has received much attention and achieved some results in the study of semi-supervised problems, but there are problems such as the lack of thorough study of labeled ...
Wei Liu, Jiaqing Mo, Furu Zhong
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