Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest

Research article (2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 2020) · cited 10× · AI/ML
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Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest

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Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest. Retrieved May 24, 2026, from https://4ort.xyz/entity/taxi-demand-prediction-using-an-lstm-based-deep-sequence-model-and-points-of-interest
MLA “Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/taxi-demand-prediction-using-an-lstm-based-deep-sequence-model-and-points-of-interest.
BibTeX @misc{4ortxyz_taxi-demand-prediction-using-an-lstm-based-deep-sequence-model-and-points-of-interest_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest}}, year = {2026}, url = {https://4ort.xyz/entity/taxi-demand-prediction-using-an-lstm-based-deep-sequence-model-and-points-of-interest}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest — https://4ort.xyz/entity/taxi-demand-prediction-using-an-lstm-based-deep-sequence-model-and-points-of-interest (retrieved 2026-05-24)

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