Home ›
Entities
› academia
› Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context
Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context
Research article (Journal of Hazardous Materials, 2022) · cited 41× · AI/ML
Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context
Summary
Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context is a scholarly article[1].
Key Facts
Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-application-in-forecasting-tire-wear-particles-emission-in-china-under-different-potential-socioeconomi
MLA“Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-application-in-forecasting-tire-wear-particles-emission-in-china-under-different-potential-socioeconomi.
BibTeX@misc{4ortxyz_machine-learning-application-in-forecasting-tire-wear-particles-emission-in-china-under-different-potential-socioeconomi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-application-in-forecasting-tire-wear-particles-emission-in-china-under-different-potential-socioeconomi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning application in forecasting tire wear particles emission in China under different potential socioeconomic and climate scenarios with tire microplastics context — https://4ort.xyz/entity/machine-learning-application-in-forecasting-tire-wear-particles-emission-in-china-under-different-potential-socioeconomi (retrieved 2026-05-24)
