ToA estimation system for efficient cycling in Smart Cities

Author:

Anagnostopoulos Theodoras1,Ntalianis Klimis2,Skourlas Christos3,Sosunova Inna1,Fedchenkov Petr1,Zaslavsky Arkady4

Affiliation:

1. Department of Infocommunication Technologies, ITMO University, Russia

2. Department of Marketing Athens, University of Applied, Sciences Greece

3. Department of Informatics Athens, University of Applied, Sciences Greece

4. Information Engineering Laboratory, CSIRO Computational Informatics, Australia

Publisher

ACM

Reference17 articles.

1. Mobility Prediction Based on Machine Learning

2. Efficient Location Prediction in Mobile Cellular Networks

3. Predicting the location of mobile users

4. Path Prediction through Data Mining

5. T. Anagnostopoulos C. Anagnostopoulos and S. Hadjiefthymiades. 2011. An adaptive location prediction model based on fuzzy control. Computer Communications 34 (2011) 816--834. 10.1016/j.comcom.2010.09.001 T. Anagnostopoulos C. Anagnostopoulos and S. Hadjiefthymiades. 2011. An adaptive location prediction model based on fuzzy control. Computer Communications 34 (2011) 816--834. 10.1016/j.comcom.2010.09.001

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A developed residual weighted position estimation algorithm for the power IoT;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

2. A multi-agent system for distributed smartphone sensing cycling in smart cities;Journal of Systems and Information Technology;2020-04-06

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