Now showing items 100-104 of 104

    • 小白视频抠图神器---基于OSVOS算法的机器学习 

      Li, Zihan (БНТУ, 2021)
      Frame Cutout of a picture (FCoP ) is one of the basic operations of video editing. Whether FCoP operation can be completed with high quality has a huge influence on the quality of video editing. At present, the popular video editing software on the market has more complicated operations and cannot complete batch operations of continuous frames. This idea intends to use the OSVOS ...
      2022-03-03
    • 新型比率荧光探针的制备与应用 

      Liang, Yongqi; Luan, Chunpeng; Wu, Yi; Wu, Yang; Sun, Pengshu (БНТУ, 2021)
      In this project, the blue green fluorescent carbon nanomaterials with rich functional groups will be prepared by hydrothermal synthesis technology, using natural biomolecular bovine serum protein as precursor BSA@CDs . A new type of carbon nano coated silver nanoclustered composite was further prepared by using CDs as template (CDs@AgNCs). The prepared CDs was used as template ...
      2022-03-03
    • 猪圆环病毒病和猪鼻支原体混合感染的防控 

      Fu, Yujie (БНТУ, 2021)
      Porcine respiratory disease(PRDC)is a common but difficult to cure problem in current large-scale pig farms. It is clinically manifested as multi-pathogen mixed infection or secondary infection. The pathogen is mainly viral infections such as Mycoplasma pneumonia (Mpr) and Mycoplasma hyorhinis (Mhr). Combined with other bacteria secondary or mixed infection. This article reviews ...
      2022-03-03
    • 研发面向俄语初学者的手机APP的设想 

      Xu, Kun (БНТУ, 2021)
      Shenyang Institute of Technology offers various Russian courses for beginners in the context of "One Belt, One Road". The teacher and the students discussed the idea of using a cell phone app outside the classroom and agreed that this technology would enhance students' interest in learning and improve their academic performance.
      2022-03-03
    • 神经网络—检测你的血管健康 

      Wang, Yujia (БНТУ, 2021)
      Atherosclerosis (As) is a common clinical disease that poses a serious risk to human health, which is highly susceptible to cardiovascular disease. We propose a method to detect the degree of blockage of blood vessels, based on the Neural Networks with the input of voltages and the output of flow rates. It provides a low-cost, easy-to-operate diagnostic method with technical advantages.
      2022-03-03