Machine learning–assisted efficient demand forecasting using endogenous and exogenous indicators for the textile industry
Summary
Machine learning–assisted efficient demand forecasting using endogenous and exogenous indicators for the textile industry is a scholarly article[1].
Key Facts
Machine learning–assisted efficient demand forecasting using endogenous and exogenous indicators for the textile industry's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine learning–assisted efficient demand forecasting using endogenous and exogenous indicators for the textile industry. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learningassisted-efficient-demand-forecasting-using-endogenous-and-exogenous-indicators-for-the-textile-industry
MLA“Machine learning–assisted efficient demand forecasting using endogenous and exogenous indicators for the textile industry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learningassisted-efficient-demand-forecasting-using-endogenous-and-exogenous-indicators-for-the-textile-industry.
BibTeX@misc{4ortxyz_machine-learningassisted-efficient-demand-forecasting-using-endogenous-and-exogenous-indicators-for-the-textile-industry_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning–assisted efficient demand forecasting using endogenous and exogenous indicators for the textile industry}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learningassisted-efficient-demand-forecasting-using-endogenous-and-exogenous-indicators-for-the-textile-industry}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning–assisted efficient demand forecasting using endogenous and exogenous indicators for the textile industry — https://4ort.xyz/entity/machine-learningassisted-efficient-demand-forecasting-using-endogenous-and-exogenous-indicators-for-the-textile-industry (retrieved 2026-05-24)
