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Company: USTC
Type: User
Company: USTC
Electrical Impedance Tomography (EIT) using Green's Functions
朴素贝叶斯算法实战
Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods
Parallel inject current source design
Codes and part of data used for publication of "Portable electrical impedance tomography enables home-based global and regional lung function assessment"
使用PYTHON语言对Prosper公开数据集的分析,看看Prosper风险评分的影响因素都有哪些,并建立逻辑回归模型对借款人还款能力进行预测
Python based toolkit for Electrical Impedance Tomography
README文件语法解读,即Github Flavored Markdown语法介绍
Python Tkinter GUI to remove line break and translate between English and Chinese
Open Source EIT system using Keithley 6221 current source and EEG systems
Deep Learning Based Image Reconstruction for single-source Diffuse Optical Tomography system with sparse measurements
Simulator of vision-based tactile sensors.
Tanks used in EIT experiments. Adult and Neonate Head Tanks. Cylindrical tanks to follow
This MATLAB package include code and data for the execution of several difference imaging algorithms applied on dynamic thoracic imaging. It also includes quantitative metrics (Figures of Merit-FoM) and comparison between state-of-the-art approaches and the recently proposed Method-of-Moment based Sparse Bayesian Learning one.
LaTeX template for USTC thesis
A MATLAB code package to perform Weighted Sparse Bayesian Learning for EIT using Bound-Optimization. Allows parametrization, compares quantitatively and qualitatively with Regularization (L2 and L1) and EM-based Block Sparse Bayesian Learning. A Python demo is also included.
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