Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery-Reference-Cited by-同舟云学术

Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Liu Wei¹,Ding Yi²,Wang Shuai¹,Yang Yu³,Zhang Desheng⁴

Affiliation:

1. Southeast University, NanJing, China

2. University of Minnesota, Minneapolis, MN, USA

3. Lehigh University, Bethlehem, PA, USA

4. Rutgers University, New Brunswick, NJ, USA

Funder

Science and Technology Innovation 2030 - Major Project 2021ZD0114202

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539167

Reference35 articles.

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5. Environmental-Adaptive RSSI-Based Indoor Localization;Ahn H. S.;IEEE Transactions on Automation Science & Engineering,2009

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