The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Y.T. Shen; P.W. Lu; F.C. Lin

doi:10.1007/978-3-030-50017-7_39

The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Y.T. Shen, P.W. Lu, F.C. Lin

Department of Geography

Research output: Book/Report › Book

Original language	English
Number of pages	10
Volume	12185 LNCS
DOIs	https://doi.org/10.1007/978-3-030-50017-7_39
Publication status	Published - 2020

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10.1007/978-3-030-50017-7_39

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088740871&doi=10.1007%2f978-3-030-50017-7_39&partnerID=40&md5=e235a0f7c64569ab34fb9aabb426b62f

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Shen, Y. T., Lu, P. W., & Lin, F. C. (2020). The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-030-50017-7_39

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author = "Y.T. Shen and P.W. Lu and F.C. Lin",

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year = "2020",

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Shen, YT, Lu, PW & Lin, FC 2020, The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 12185 LNCS. https://doi.org/10.1007/978-3-030-50017-7_39

The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). / Shen, Y.T.; Lu, P.W.; Lin, F.C.

2020. 10 p.

Research output: Book/Report › Book

TY - BOOK

T1 - The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city

T2 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

AU - Shen, Y.T.

AU - Lu, P.W.

AU - Lin, F.C.

N1 - Export Date: 8 August 2020

PY - 2020

Y1 - 2020

U2 - 10.1007/978-3-030-50017-7_39

DO - 10.1007/978-3-030-50017-7_39

M3 - Book

VL - 12185 LNCS

BT - The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city

ER -

Shen YT, Lu PW, Lin FC. The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. 10 p. https://doi.org/10.1007/978-3-030-50017-7_39