Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review
Author:
Funder
Natural Science Foundation of Fujian Province
ACU
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00779-024-01820-w.pdf
Reference129 articles.
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3. Ray A, Chowdhury C, Bhattacharya S, Roy S (2023) A survey of mobile crowdsensing and crowdsourcing strategies for smart mobile device users. CCF Trans Pervasive Comput Interact 5(1):98–123. https://doi.org/10.1007/s42486-022-00110-9
4. Guo M-H et al (2022) Attention mechanisms in computer vision: A survey. Comput Vis Media 8(3):331–368. https://doi.org/10.1007/s41095-022-0271-y
5. Sun T-X, Liu X-Y, Qiu X-P, Huang X-J (2022) Paradigm shift in natural language processing. Mach Intell Res 19(3):169–183. https://doi.org/10.1007/s11633-022-1331-6
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