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Volumn , Issue , 2013, Pages 401-410

Learning periodic human behaviour models from sparse data for crowdsourcing aid delivery in developing countries

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIOUR MODELS; HUMAN BEHAVIOURS; LOCAL POPULATIONS; MARKOV DECISION PROCESSES; MOBILITY PREDICTIONS; RURAL LOCATIONS; STATE-OF-THE-ART APPROACH; TECHNICAL CHALLENGES;

EID: 84888177692     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (29)
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    • Neal, R.M.1
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    • Nextplace: A spatio-temporal prediction framework for pervasive systems
    • San Francisco, CA, USA Springer
    • S. Scellato, M. Musolesi, C. Mascolo, V. Latora, and A. Campbell. Nextplace: a spatio-temporal prediction framework for pervasive systems. In Pervasive Computing, pages 152-169, San Francisco, CA, USA, 2011. Springer.
    • (2011) Pervasive Computing , pp. 152-169
    • Scellato, S.1    Musolesi, M.2    Mascolo, C.3    Latora, V.4    Campbell, A.5
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    • Evaluating next-cell predictors with extensive wi-fi mobility data
    • L. Song, D. Kotz, R. Jain, and X. He. Evaluating next-cell predictors with extensive wi-fi mobility data. IEEE Transactions on Mobile Computing, 5(12): 1633-1649, 2006.
    • (2006) IEEE Transactions on Mobile Computing , vol.5 , Issue.12 , pp. 1633-1649
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    • An mdp-based vertical handoff decision algorithm for heterogeneous wireless networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.