Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information
Summary
Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information is a scholarly article[1].
Key Facts
Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-meta-learning-approach-for-regional-parking-occupancy-prediction-considering-heterogeneous-and-real-time-informatio
BibTeX@misc{4ortxyz_deep-meta-learning-approach-for-regional-parking-occupancy-prediction-considering-heterogeneous-and-real-time-informatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information}}, year = {2026}, url = {https://4ort.xyz/entity/deep-meta-learning-approach-for-regional-parking-occupancy-prediction-considering-heterogeneous-and-real-time-informatio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information — https://4ort.xyz/entity/deep-meta-learning-approach-for-regional-parking-occupancy-prediction-considering-heterogeneous-and-real-time-informatio (retrieved 2026-05-24)
