利用机器学习和热网络模型开发电子照相工艺中的纸张温度预测方法

IF 0.6 4区 计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Journal of Imaging Science and Technology Pub Date : 2024-01-01 DOI:10.2352/j.imagingsci.technol.2024.68.1.010504
Takamasa Hase, Takumi Ishikura, Shinichi Kuramoto, Koichi Kato, K. Fushinobu
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Development of Paper Temperature Prediction Method in Electrophotographic Processes by Using Machine Learning and Thermal Network Model
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来源期刊
Journal of Imaging Science and Technology
Journal of Imaging Science and Technology 工程技术-成像科学与照相技术
CiteScore
2.00
自引率
10.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.
期刊最新文献
Salient Semantic-SIFT for Robot Visual SLAM Closed-loop Detection Detection Performance of X-ray Cascaded Talbot–Lau Interferometers Using W-absorption Gratings Development of Paper Temperature Prediction Method in Electrophotographic Processes by Using Machine Learning and Thermal Network Model Color Image Stitching Elimination Method based on Co-occurrence Matrix New Perspective on Progressive GANs Distillation for One-class Anomaly Detection
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