Results 41 to 50 of about 9,828,805 (358)
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
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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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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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A Deep Learning Framework for Signal Detection and Modulation Classification
Italian National Conference on Sensors, 2019 Deep learning (DL) is a powerful technique which has achieved great success in many applications. However, its usage in communication systems has not been well explored.
Xiong Zha +4 more
semanticscholar +1 more source
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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IEEE Photonics Journal, 2022 When used for object tracking, the discriminative correlation filter (DCF) is effective, but its performance is often burdened by undesirable boundary effects.
Junnan Wang +4 more
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A Deep Learning Approach for MIMO-NOMA Downlink Signal Detection
Italian National Conference on Sensors, 2019 As a key candidate technique for fifth-generation (5G) mobile communication systems, non-orthogonal multiple access (NOMA) has attracted considerable attention in the field of wireless communication. Successive interference cancellation (SIC) is the main
Chuan Lin, Qing Chang, Xianxu Li
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