Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models

Research article (International Journal of Geographical Information Systems, 2023) · cited 17× · AI/ML
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Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models

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Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models. Retrieved May 24, 2026, from https://4ort.xyz/entity/act2loc-a-synthetic-trajectory-generation-method-by-combining-machine-learning-and-mechanistic-models
MLA “Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/act2loc-a-synthetic-trajectory-generation-method-by-combining-machine-learning-and-mechanistic-models.
BibTeX @misc{4ortxyz_act2loc-a-synthetic-trajectory-generation-method-by-combining-machine-learning-and-mechanistic-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models}}, year = {2026}, url = {https://4ort.xyz/entity/act2loc-a-synthetic-trajectory-generation-method-by-combining-machine-learning-and-mechanistic-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models — https://4ort.xyz/entity/act2loc-a-synthetic-trajectory-generation-method-by-combining-machine-learning-and-mechanistic-models (retrieved 2026-05-24)

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