Lijun Wu

发表

Spatiotemporal Guided Self-Supervised Depth Completion from LiDAR and Monocular Camera

Dapeng Oliver Wu, Z. Chen, Yanlin Zhou, 2020, 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP).

A Density Peak-Based Clustering Approach for Fault Diagnosis of Photovoltaic Arrays

Peijie Lin, Yaohai Lin, Shuying Cheng, 2017 .

Lijun Wu, Yuhua Qin, Kai Duan, 2019, Infrared Physics & Technology.

A Simple and Fast Algorithm for Image Coding Based on SPIHT

Lijun Wu, Peijie Lin, Yiqun Zhang, 2016 .

Local positioning accuracy of laser sensors for structural health monitoring

Lijun Wu, Fabio Casciati, F. Casciati, 2013 .

Positioning Systems: Global Versus Local

Fabio Casciati, Lijun Wu, F. Casciati, 2012 .

Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets

Lijun Wu, Zhicong Chen, Peijie Lin, 2018, Energy Conversion and Management.

Random forest based intelligent fault diagnosis for PV arrays using array voltage and string currents

Lijun Wu, Zhicong Chen, Peijie Lin, 2018, Energy Conversion and Management.

Intelligent fault diagnosis of photovoltaic arrays based on optimized kernel extreme learning machine and I-V characteristics

Lijun Wu, Zhicong Chen, Yue Wu, 2017 .

Parameter extraction of photovoltaic models from measured I-V characteristics curves using a hybrid trust-region reflective algorithm

Lijun Wu, Zhicong Chen, Peijie Lin, 2018, Applied Energy.

Local positioning systems versus structural monitoring: a review

Lijun Wu, Fabio Casciati, F. Casciati, 2014 .

Dynamic testing of a laboratory model via vision-based sensing

Lijun Wu, Fabio Casciati, Sara Casciati, 2014 .

Optimal data collection of multi‐radio multi‐channel multi‐power wireless sensor networks for structural monitoring applications: A simulation study

Lijun Wu, Qinghua Li, Zhicong Chen, 2019, Structural Control and Health Monitoring.

BitFlow-Net: Toward Fully Binarized Convolutional Neural Networks

Xu Lin, Peijie Lin, Yunfeng Lai, 2019, IEEE Access.

Parameters extraction of solar cell models using a modified simplified swarm optimization algorithm

Zhicong Chen, Peijie Lin, Shuying Cheng, 2017 .

Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy

Lijun Wu, Zhicong Chen, Yue Wu, 2016 .

Fault diagnosis for photovoltaic array based on convolutional neural network and electrical time series graph

Lijun Wu, Peijie Lin, Yaohai Lin, 2019, Energy Conversion and Management.

Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions

Peijie Lin, Zhicong Chen, Lijun Wu, 2019, Energy Conversion and Management.

Automated Pixel-Level Surface Crack Detection Using U-Net

Lijun Wu, Zhicong Chen, Peijie Lin, 2018, MIWAI.

An Intelligent Fault Diagnosis Approach for PV Array Based on SA-RBF Kernel Extreme Learning Machine

Lijun Wu, Zhicong Chen, Peijie Lin, 2017 .

Parameter extraction of PV models using an enhanced shuffled complex evolution algorithm improved by opposition-based learning

Lijun Wu, Zhicong Chen, Peijie Lin, 2019, Energy Procedia.

Rapid and accurate modeling of PV modules based on extreme learning machine and large datasets of I-V curves

Peijie Lin, Zhicong Chen, Zhenhui Wu, 2021 .

A NB-IoT based intelligent combiner box for PV arrays integrated with short-term power prediction using extreme learning machine and similar days

Peijie Lin, Lijun Wu, Chen Zhicong, 2020, IOP Conference Series: Earth and Environmental Science.

A capacitor based fast I-V characteristics tester for photovoltaic arrays

Peijie Lin, Shuying Cheng, Zhicong Chen, 2018, Energy Procedia.

A short-term photovoltaic power forecasting model based on a radial basis function neural network and similar days

Zhicong Chen, Haifang Zhou, Peijie Lin, 2019, IOP Conference Series: Earth and Environmental Science.

Surface crack detection based on image stitching and transfer learning with pretrained convolutional neural network

Peijie Lin, Shuying Cheng, Zhicong Chen, 2021, Structural Control and Health Monitoring.

Accurate modeling of photovoltaic modules using a 1-D deep residual network based on I-V characteristics

Lijun Wu, Zhicong Chen, Peijie Lin, 2019, Energy Conversion and Management.

Fault diagnosis of PV array using adaptive network based fuzzy inference system

Peijie Lin, Zhicong Chen, Lijun Wu, 2020, IOP Conference Series: Earth and Environmental Science.