An accurate ecological footprint analysis and prediction for Beijing based on SVM model

Research article (Ecological Informatics, 2018) · cited 53× · AI/ML
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An accurate ecological footprint analysis and prediction for Beijing based on SVM model

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An accurate ecological footprint analysis and prediction for Beijing based on SVM model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An accurate ecological footprint analysis and prediction for Beijing based on SVM model. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-accurate-ecological-footprint-analysis-and-prediction-for-beijing-based-on-svm-model
MLA “An accurate ecological footprint analysis and prediction for Beijing based on SVM model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-accurate-ecological-footprint-analysis-and-prediction-for-beijing-based-on-svm-model.
BibTeX @misc{4ortxyz_an-accurate-ecological-footprint-analysis-and-prediction-for-beijing-based-on-svm-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An accurate ecological footprint analysis and prediction for Beijing based on SVM model}}, year = {2026}, url = {https://4ort.xyz/entity/an-accurate-ecological-footprint-analysis-and-prediction-for-beijing-based-on-svm-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An accurate ecological footprint analysis and prediction for Beijing based on SVM model — https://4ort.xyz/entity/an-accurate-ecological-footprint-analysis-and-prediction-for-beijing-based-on-svm-model (retrieved 2026-05-24)

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