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A deep learning-based method for efficient floating garbage debris recognition on high-performance edge computing platform

delete2025-07-10
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D
Diego Romano *
C
Carlo Mennella
M
Marco Lapegna
DOI:10.1016/j.future.2025.108000delete
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摘要

摘要

En 中文
• 高性能嵌入式计算平台上的深度学习实时检测漂浮垃圾和海洋碎片。 • 面向边缘设备速度、精度与低功耗的多目标卷积神经网络优化。 • 船载AI:实时检测海洋垃圾的先进模型部署。
Keyword:
Deep learning
High-performance edge computing
Energy efficiency
Floating garbage debris recognition
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期刊

F
Future Generation Computer Systems
IF:
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论文数:
642
被引数:
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机构

U
University of Naples Federico II
学者数:
4.7W
论文数: 3.6W
被引数: 51
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