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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
RK3588 Camera Display
Published:
Based on rknpu development, using v4l2 and gstreamer to achieve real-time video acquisition, deep learning target detection, and real-time detection video effect display function, implemented on RK3588.
Screen & Tmux
Published:
Screen is a very simple and easy-to-use terminal multiplexer that can separate sessions from windows, preventing server programs from being interrupted due to disconnections.
Anaconda
Published:
Anaconda is a free and open-source distribution of the Python programming language for scientific computing (Python 2.7 & Python 3.x).
portfolio
SIRST
Single-frame infrared small target (SIRST) detection
Virtual Staining
Label-free cell image virtual staining 
ICU Serum Sodium Prediction
Short-term prediction of serum sodium level in the ICU utilizing interpretable machine learning
publications
Diuretic Resistance Prediction and Risk Factor Analysis of Patients with Heart Failure During Hospitalization
Published in Global Heart, 2022
I completed the code development for this article.
Recommended citation: Lu X, Xin Y, Zhu J, et al. Diuretic resistance prediction and risk factor analysis of patients with heart failure during hospitalization[J]. Global Heart, 2022, 17(1).
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Research and Application of Virtual Staining Algorithm for Label-free Cell Images based on Deep Learning
Published in BEIJING INSTITUTE OF TECHNOLOGY, 2022
Fluorescent labeling is the most common method for visualizing subcellular structures in biomedicine, but traditional fluorescent staining has limitations such as damage to cells, tedious operation process, limited staining channels, and fluorescence quenching, which makes it difficult to observe subcellular structures, especially in application scenarios where cell viability needs to be guaranteed. To this end, a deep learning based virtual staining scheme was proposed to establish the correspondence between the bright-field images and the fluorescence images of subcellular structures. And then, the scheme was implemented to predict the fluorescent images of subcellular structures using bright-field images as input.
Serum Sodium Fluctuation Prediction among ICU Patients Using Neural Network Algorithm: Analysis of the MIMIC-IV Database
Published in JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2023
I completed the experimental design for this article.
Recommended citation: Yu H, Guan T, Zhu J, et al. Serum Sodium Fluctuation Prediction among ICU Patients Using Neural Network Algorithm: Analysis of the MIMIC-IV Database[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2023, 32(2): 188-197.
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Short-Term Prediction of Serum Sodium Level in the Icu Utilizing Interpretable Machine Learning
Published in SSRN, 2023
I completed the experimental design, code development and paper writing.
Recommended citation: Guan T, Cen Y, Zhu J, et al. Short-Term Prediction of Serum Sodium Level in the Icu Utilizing Interpretable Machine Learning[J]. Available at SSRN 4789223.
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