A border maker - reel can be converted on a machine with a border 3

• 1. 一种边框叠层材料及其在制备带密封边框核心组件膜电极上的应用 [P] . 中国专利： CN101800298B . 2012.01.11
• 2. 一种边框叠层材料及其在制备带密封边框核心组件膜电极上的应用 [P] . 中国专利： CN101800298A . 2010-08-11
• 3. A border maker, for a sewing machine [P] . 法国专利： FR1212193A . 1960-03-22

  机译： 制边机，用于缝纫机

• 4. A border maker of a sewing machine, placing the chinchilla with the two folded edges and the new seal in the resulting [P] . 法国专利： FR777106A . 1935-02-12

  机译： 缝纫机的边框制造商，将具有两个折叠边缘的龙猫和新的印章放入

• 5. A border maker improved for sewing machines [P] . 法国专利： FR425392A . 1911-06-09

  机译： 改进了缝纫机的边框机

• 1. The Enlightenment of British Flower Border Design to Chinese Flower Border Design [J] . LIU Qiang, HUANG Siyu 景观研究：英文版 . 2018,第006期
• 2. The coordinated development of cross-border e-commerce and cross-border logistics research [J] . BAI, Zhezhe 国际英语教育研究：英文版 . 2016,第004期
• 3. Passion and Strength Protects the Border- A story of the civilian patrol contingent of the border police station of Trango Town in Saga County [J] . Guo Dali 中国西藏：英文版 . 2009,第006期
• 4. Living in a High Mountain Border Region: the Case of the 'Bhotiyas' of the Indo-Chinese Border Region [J] . Christoph Bergmann, Martin Gerwin, Marcus Nüsse, 山地科学学报（英文版） . 2008,第003期
• 5. Learning by Doing and Learning by Observing in Cross Border MAs: Based on the Example of Global Soft Drink Makers MAs [C] . Caifen Zou 2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering . 2010
• 6. Effective Border Surveillance Using Machine Learning in Remote Video Surveillance [D] . Bugudanahalli Anandamurthy, Shreedevi. 2018
• 7. Attitudes towards transfers of human tissue samples across borders: An international survey of researchers and policy makers in five countries [O] . Xinqing Zhang, Kenji Matsui, Benjamin Krohmal, 2010
• 8. Figure 3: Proposed approach: (A) The skin lesion image is firstly converted to grayscale, after which the skin lesion is segmented and smoothed, lesion border (edge) detected, and the lesion irregularity measure derived. (B) A CNN is trained on the smoothed segmented image, skin lesion border, and the skin lesion irregularity measure. (C) A Gaussian naive Bayes is trained on the irregularity measure. (D) The generated models are used to predict class probabilities, and a threshold is eventually used to determine the final decision (regular or irregular skin lesion border). [O] . -1

• 1. Description of a Propulsion Unit Used in Guiding a Walking Machine by Recognizing a Three-point Bordered Path [J] . N(U)(N)EZ-ALTAMIRANO Diego A ,JU(A)REZ-CAMPOS Ignacio ,M(A)RQUEZ-P(E)REZ Lucia . 中国机械工程学报 . 2016,第006期
• 2. 上部边框柱外移时牛腿转换节点的试验研究 [C] . 全学友 ,陈文钦 ,孔志坚 . 第18届全国高层建筑结构学术交流会 . 2004
• 3. 周边框架柱外移时转换层设计的相关问题研究 [A] . 孔志坚 . 2004