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A deep learning-based method for efficient floating garbage debris recognition on high-performance edge computing platform
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DOI：10.1016/j.future.2025.108000.png)
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Abstract
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• Deep Learning on HPEC for real-time detection of floating garbage and marine debris. • Multi-objective CNN optimization for speed, accuracy, and low power on edge devices. • AI at sea: Advanced models deployed onboard to detect marine litter in real time.
Keywords:
Deep learning
High-performance edge computing
Energy efficiency
Floating garbage debris recognition
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