Intelligent X-ray waste detection and classification via X-ray characteristic enhancement and deep learning-Reference-Cited by-同舟云学术

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Intelligent X-ray waste detection and classification via X-ray characteristic enhancement and deep learning

Published:2024-01 Issue: Volume:435 Page:140573
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Li Yangke^ORCID,Zhang Xinman

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. Language models are few-shot learners;Brown;Adv. Neural Inf. Process. Syst.,2020

2. Disentangle your dense object detector;Chen,2021

3. Flow: A dataset and benchmark for floating waste detection in inland waters;Cheng,2021

4. Strategy formulation path towards zero-waste of municipal solid waste: A case study from shanghai;Chu;J. Clean. Prod.,2023

5. Tood: Task-aligned one-stage object detection;Feng,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lightweight deep learning model for underwater waste segmentation based on sonar images;Waste Management;2024-12

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