安卓深度学习垃圾分类 毕业论文
安卓深度学习垃圾分类
【摘要】垃圾分类是当前社会环境保护和可持续发展中的重要问题。随着智能手机的普及和深度学习技术的不断发展，利用安卓深度学习垃圾分类系统进行垃圾分类已成为可能。本文旨在探讨安卓深度学习垃圾分类系统的设计、实现、实验评估和优化改进。通过对相关工作和技术的综述，提出了安卓深度学习垃圾分类系统的关键技术挑战，并对垃圾分类技术发展趋势进行了展望。实验结果表明，安卓深度学习垃圾分类系统在垃圾分类准确性和实时性方面取得了显著的改进，并具有重要的应用和推广价值。本研究对于促进智能环境保护和资源循环利用具有一定的理论和实际意义。
【关键词】安卓, 深度学习, 垃圾分类, 系统设计, 实验评估, 优化改进
【Abstract】Waste sorting is an important issue in current social environmental protection and sustainable development. With the popularization of smartphones and the continuous development of deep learning technology, it has become possible to use an Android deep learning waste sorting system for waste sorting. This article aims to explore the design, implementation, experimental evaluation, and optimization of the Android deep learning waste sorting system. Through a review of related work and technologies, the key technical challenges of the Android deep learning waste sorting system are proposed, and the development trend of waste sorting technology is discussed. The experimental results show that the Android deep learning waste sorting system has significantly improved accuracy and real-time performance in waste sorting, and has important application and promotion value. This research has certain theoretical and practical significance for promoting intelligent environmental protection and resource recycling.
【Keywords】Android, Deep Learning, Waste Sorting, System Design, Experimental Evaluation, Optimization
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