ZengWenmin

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

transferlearning-tutorial

《迁移学习简明手册》LaTex源码

book

Book PDF

mrmr

mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.

nav_matlab

基于的matlab导航科学计算库

LAMDA-SSL

30 Semi-Supervised Learning Algorithms

cvnn

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

Transfer-Learning-Toolkit

Transfer Learning Toolkit for Primary Researchers

positioning-algorithms-for-uwb-matlab

The Matlab scripts for five positioning algorithms regarding UWB localization. The five algorithms are Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), Taylor Series-based location estimation, Trilateration, and Multilateration methods.

DOA-AOA-algorithms

Direction-of-Arrival Algorithms

UWB-localization

LOS-NLOS-Classification-CNN

UWB LOS-NLOS Signal Classification using CNN

5GPositioning

This is a demonstration of 5G mmWave positioning

imRICnn

FMCW/CS interference mitigation using CNNs

DoA-ML

matlab code for AoA Estimation of ULA/UCA

Identification-of-NLOS-and-MP-in-UWB-using-ML

This experimental research data and src were used to present the multi-label classification results of UWB ranging system in the following open access article. https://doi.org/10.3390/app10113980; Appl. Sci. 2020, 10(11), 3980, MDPI.

Futures-forecast-PSO-SVM

利用PSO优化的SVM进行期货预测

VFSVM

Small-floating Target Detection in Sea Clutter by Classifying Visual Feature in Time Doppler Spectra of IPIX data sets

uwb_positioning

The code contains the preprocessing scripts and experiments that work on UWB Positioning and Tracking Data Set. The code demonstrate the UWB positioning technique with ranging error mitigation using deep learning-based ranging error estimation by convolutional neural networks (CNN) using TensorFlow deep learning platform.

Multi-RIS-Doppler-Mitigation-Hardware-Impairments

Simulation code for “PI-Based High-Speed Communications with Multiple RISs: Doppler Mitigation and Hardware Impairments,” by K. Wang, C-T. Lam, and B.K. Ng, Applied Sciences, 12, no.14: 7076, 2022.

UWB_DualAntenna_AoA

Angle of arrival and distance estimation on a compact and smart UWB sensor node

Tloc

A transfer learning-based random forest regression model

Industrial-UWB-localization-CIR-dataset

Industrial UWB localization dataset containing Channel Impulse Response data (CIRs).

star_svm

Semi-Supervised SVM via Self-Training with Adaptive Regularization (STAR-SVM)

Metaheuristics_SVR

The performance of SVR models highly depends upon the appropriate choice of SVR parameters. Here, different metaheuristic algorithms are used to tune the hyperparameters.

radar_imaging

A convolutional neural network for for point target detection using radar signal data

RadarDataAnalysis

Analyzing the given radar data wrt length of Doppler processing and PRI and MTI implementation

BSRU-Algorithm

Semi-Supervised regression algorithm

Notes