导航在众多的视频数据:用户界面设计上的摄像机视频分析引擎

S. Alam
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引用次数: 0

摘要

Sabriya Maryam Alam是工程学院和普渡大学荣誉学院的大三学生,学习电气和计算机工程。她对有影响力的基于应用程序的机器学习系统的开发感兴趣,并打算在相关领域进行研究生学习。除了视频分析方面的工作,阿拉姆的研究经验还包括人工智能驱动的智慧城市应用和个性化医疗保健的开发。在她的研究之余,她还是普渡大学穆斯林学生协会的副主席,也是普渡大学全国非营利组织“编程女孩”分会的联合创始人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Navigating in Numerous Video Data: User Interface Design for an On-Camera Video Analytics Engine
2 Sabriya Maryam Alam is a junior in the College of Engineering and the Purdue Honors College studying electrical and computer engineering. She is interested in the development of impactful application-based machine learning systems and intends to pursue graduate studies in a related field. In addition to her work on video analytics, Alam’s research experience includes developments for artificial intelligence–powered smart city applications and personalized health care. Outside of her research pursuits, she serves as vice president of the Purdue Muslim Student Association and is a cofounder of the Purdue chapter of the national nonprofit Girls Who Code.
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