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Sökning: WFRF:(Mei Zhijie)

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1.
  • Li, Jiyun, et al. (författare)
  • A method for document image enhancement to improve template-based classification
  • 2020
  • Ingår i: ACM International Conference Proceeding Series. - New York, NY, USA : ACM Digital Library. - 9781450375603 ; , s. 87-91
  • Konferensbidrag (refereegranskat)abstract
    • Document classification is one of the significant procedure in paper document recognition. This article proposed a method for document image enhancement to improve the performance of classification in the convolutional neural network. An enhanced document image was generated by extracting the table frame, text region, and shape of the raw document. The template-based classification experiment on 414 customs documents and more than one thousand generated images showed the enhanced image could help CNN model achieve higher accuracies compared to the original images. It could also diminish the interference of noise and unrelated features in document classification optimizing the robustness of networks. The proposed method also demonstrated the channels of the image could provide more information except for color in deep neural networks. As the similarity in the whole image classification tasks, the conclusion might provide ideas for the training of the neural networks in other fields such as street view recognition, medical image recognition, etc. 
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2.
  • Zhang, Lixiu, et al. (författare)
  • Advances in the Application of Perovskite Materials
  • 2023
  • Ingår i: NANO-MICRO LETTERS. - : SHANGHAI JIAO TONG UNIV PRESS. - 2311-6706. ; 15:1
  • Forskningsöversikt (refereegranskat)abstract
    • Nowadays, the soar of photovoltaic performance of perovskite solar cells has set off a fever in the study of metal halide perovskite materials. The excellent optoelectronic properties and defect tolerance feature allow metal halide perovskite to be employed in a wide variety of applications. This article provides a holistic review over the current progress and future prospects of metal halide perovskite materials in representative promising applications, including traditional optoelectronic devices (solar cells, light-emitting diodes, photodetectors, lasers), and cutting-edge technologies in terms of neuromorphic devices (artificial synapses and memristors) and pressure-induced emission. This review highlights the fundamentals, the current progress and the remaining challenges for each application, aiming to provide a comprehensive overview of the development status and a navigation of future research for metal halide perovskite materials and devices.
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