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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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approach that integrates machine learning algorithms, blockchain technology, and IoT devices with digital twin systems. The scientific objectives of the project are as follows: Objective 1: Investigate how
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capabilities within dynamic urban settings, where delivery demands and sensing requirements fluctuate rapidly across time and space. By developing intelligent scheduling and decision-making frameworks
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