Yinghui Guo
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Vortex Coherence Filtering for Enhanced Single-Photon LiDAR Imaging Through Dense Fog
Yuanjian Huang and Hanxiang Yan contributed equally to this work as co-first authors. Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description lpor71225-sup-0001-SuppMat.docx5.4 MB Supporting File: lpor71225-sup-0001-SuppMat.docx.
Long short-term attention memory (LSTAM): a global-feature-integrated model for joint moment prediction in human rehabilitation
Abstract Joint moments are critical parameters for evaluating human movement, and time-series models are widely used to predict them from biosignals. However, biosignals collected via accelerometers, gyroscopes, and electromyography (EMG) sensors are often susceptible to local features such as short-term fluctuations and noise, which hinders the models’ ability to effectively capture global features and weakens their capability to predict long-term trends.
Sub‐Diffraction Limited Single‐Photon LiDAR with Optimized Confocal Super‐Oscillatory Illumination
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description lpor202401837-sup-0001-SuppInfo.docx27.1 MB Supporting Information References 1, , , , ISPRS-J. Photogramm. Remote Sens. 2018, 144, 105. 2, , , , IEEE Trans. Instrum. Meas. 2022, 71, 1. 3, , , , , , , , , Opt. Express 2020, 28, 4076. 4, , , , , , , , , , , , Optica 2021, 8, 344. 5, , , , , , , , , , , , , , , , , Optica 2024, 11, 612. 6, , , , , , , , , , , Nat. Commun. 2023, 14, 5902. 7, , , , Opt.
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