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Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China
Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China
Summary
Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China is a scholarly article[1].
Key Facts
Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/simulating-mixed-land-use-change-under-multi-label-concept-by-integrating-a-convolutional-neural-network-and-cellular-au
MLA“Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simulating-mixed-land-use-change-under-multi-label-concept-by-integrating-a-convolutional-neural-network-and-cellular-au.
BibTeX@misc{4ortxyz_simulating-mixed-land-use-change-under-multi-label-concept-by-integrating-a-convolutional-neural-network-and-cellular-au_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China}}, year = {2026}, url = {https://4ort.xyz/entity/simulating-mixed-land-use-change-under-multi-label-concept-by-integrating-a-convolutional-neural-network-and-cellular-au}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Simulating mixed land-use change under multi-label concept by integrating a convolutional neural network and cellular automata: a case study of Huizhou, China — https://4ort.xyz/entity/simulating-mixed-land-use-change-under-multi-label-concept-by-integrating-a-convolutional-neural-network-and-cellular-au (retrieved 2026-05-24)
