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Surface Defect Detection of Solar Cells Based on Feature …
Firstly, we combine CNN with Feature Pyramid Network (FPN) to achieve multi-scale defect feature extraction. By combining multiple layers of feature information, the semantic …
Advantages, challenges and molecular design of different ...
This Review summarizes the types of materials used in the photoactive layer of solution-processed organic solar cells, discusses the advantages and disadvantages of …
Enhancing Tandem Solar Cell''s efficiency through convolutional …
This study explores the use of deep learning to predict the optimal optical design for the top cell in tandem solar cells to maximize power conversion efficiency. Computational …
Efficient and Refined Deep Convolutional Features Network for …
We propose an end-to-end Efficient and Refined Deep Convolutional Features Network (ERDCF-Net) for precise and efficient crack segmentation. Firstly, we design a …
Machine-learning-assisted exploration of new non-fullerene ...
5 · Organic solar cells (OSCs) have attracted great interests due to their advantages of flexibility, light weight, low cost, and low toxicity. 1 The power conversion efficiency (PCE) of …
Machine-learning-assisted exploration of new non-fullerene
5 · Organic solar cells (OSCs) have attracted great interests due to their advantages of flexibility, light weight, low cost, and low toxicity. 1 The power conversion efficiency (PCE) of …
Method for Early Warning of Faults of Solar Cells Based on ...
Solar cells are a renewable energy source, and their efficiency and quantity are constantly increasing. ... Karim H F A utilized convolutional neural networks for damage …
Photovoltaic solar cell technologies: analysing the state of the art ...
Nearly all types of solar photovoltaic cells and technologies have developed dramatically, especially in the past 5 years. Here, we critically compare the different types of …
Detection of surface defects on solar cells by fusing Multi-channel ...
DOI: 10.1016/j frared.2020.103334 Corpus ID: 218968562; Detection of surface defects on solar cells by fusing Multi-channel convolution neural networks @article{Zhang2020DetectionOS, …
Solar Cell Surface Defect Inspection Based on …
Secondly, the light spectrum features of solar cell color image are analyzed. It is found that a variety of defects exhibited different distinguishable characteristics in different spectral bands.
A Mechanically Robust Conducting Polymer Network Electrode …
Flexible and lightweight photovoltaics is the future of harvesting of solar energy because of its extensive application areas, such as wearable and portable electronics, …
SNCF-Net: Scale-aware neighborhood correlation feature network …
This paper proposes a novel Scale-aware Neighborhood Correlation Feature Network for photovoltaic hotspot defect detection. The designed NCFM enhances the ability to …
Achieving 19.4% organic solar cell via an
Single-junction organic solar cells with over 19% efficiency enabled by a refined double-fibril network morphology
RERN: Rich Edge Features Refinement Detection Network for ...
In this article, we propose a novel rich edge features refinement detection network consisting of an encoder–decoder structure that captures rich discriminative edge feature representations …
Using Electron Microscopy to Explore Solar Cell Interfaces ...
Solar cell interfaces, including grain boundaries, twin boundaries, stacking faults, and phase boundaries, are the main nonradiative recombination and degradation sites and …
Efficient and Refined Deep Convolutional Features Network for …
High-quality and fast crack segmentation in solar cell electroluminescence images with heterogeneously textured background disturbance is challenging. We propose an …
Efficient deep feature extraction and classification for identifying ...
(Rahman & Chen, 2020) utilized a multi attention network using modified U-net architecture based on DNN to detect defects on solar cell EL images. In this study, deep …
Surface Defect Detection of Solar Cells Based on Feature Pyramid ...
Firstly, we combine CNN with Feature Pyramid Network (FPN) to achieve multi-scale defect feature extraction. By combining multiple layers of feature information, the semantic …
Solar Cells
Learn about solar cells, their benefits and how they work in this comprehensive guide. ... These cells have flexible adaptive and reflecting features influenced by environmental conditions. It reacts based on the angle and intensity of the …
RERN: Rich Edge Features Refinement Detection Network for ...
In addition, we release a polycrystalline solar cell defect edge (PSCDE $^{1}$ ) dataset that is the first high-quality segmentation database to advance the development of …
Surface Defect Detection of Solar Cells Based on Feature …
Request PDF | On Sep 1, 2019, Lixing Liu and others published Surface Defect Detection of Solar Cells Based on Feature Pyramid Network and GA-Faster-RCNN | Find, read and cite all the …
A Definition Rule for Defect Classification and Grading …
A nondestructive detection method that combines convolutional neural network (CNN) and photoluminescence (PL) imaging was proposed for the multi-classification and multi-grading of defects during the fabrication process …