Home ›
Entities
› academia
› LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points
LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points
Research article (Neurocomputing, 2021) · cited 46× · AI/ML
LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points
Summary
LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points is a scholarly article[1].
Key Facts
LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points'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). LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points. Retrieved May 24, 2026, from https://4ort.xyz/entity/lsi-lstm-an-attention-aware-lstm-for-real-time-driving-destination-prediction-by-considering-location-semantics-and-loca
MLA“LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lsi-lstm-an-attention-aware-lstm-for-real-time-driving-destination-prediction-by-considering-location-semantics-and-loca.
BibTeX@misc{4ortxyz_lsi-lstm-an-attention-aware-lstm-for-real-time-driving-destination-prediction-by-considering-location-semantics-and-loca_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points}}, year = {2026}, url = {https://4ort.xyz/entity/lsi-lstm-an-attention-aware-lstm-for-real-time-driving-destination-prediction-by-considering-location-semantics-and-loca}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points — https://4ort.xyz/entity/lsi-lstm-an-attention-aware-lstm-for-real-time-driving-destination-prediction-by-considering-location-semantics-and-loca (retrieved 2026-05-24)
