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DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing
Research article (Remote Sensing, 2022) · cited 16× · AI/ML
DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing
Summary
DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing is a scholarly article[1].
Key Facts
DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing's instance of is recorded as scholarly article[2].
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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). DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/dic-st-a-hybrid-prediction-framework-based-on-causal-structure-learning-for-cellular-traffic-and-its-application-in-urba
MLA“DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dic-st-a-hybrid-prediction-framework-based-on-causal-structure-learning-for-cellular-traffic-and-its-application-in-urba.
BibTeX@misc{4ortxyz_dic-st-a-hybrid-prediction-framework-based-on-causal-structure-learning-for-cellular-traffic-and-its-application-in-urba_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing}}, year = {2026}, url = {https://4ort.xyz/entity/dic-st-a-hybrid-prediction-framework-based-on-causal-structure-learning-for-cellular-traffic-and-its-application-in-urba}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing — https://4ort.xyz/entity/dic-st-a-hybrid-prediction-framework-based-on-causal-structure-learning-for-cellular-traffic-and-its-application-in-urba (retrieved 2026-05-24)