A Big Data-Driven Hybrid Solution to the Indoor-Outdoor Detection Problem

Author:

Souza Raissa P.P.M.,dos Santos Leonardo J.A.,Coimbra Gabriel T.P.ORCID,Silva Fabricio A.ORCID,Silva Thais R.M.B.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference19 articles.

1. G. Intelligence, The mobile economy 2019, 2019, online.

2. Context-aware computing, learning, and big data in internet of things: a survey;Sezer;IEEE Int. Things J.,2017

3. A semi-supervised learning approach for robust indoor-outdoor detection with smartphones;Radu,2014

4. Indoor-outdoor detection using a smart phone sensor;Wang;Sensors,2016

5. Bluedetect: an ibeacon-enabled scheme for accurate and energy-efficient indoor-outdoor detection and seamless location-based service;Zou;Sensors,2016

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2. IODnet: Indoor/Outdoor Telecommunication Signal Detection through Deep Neural Network;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18

3. TransFloor;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2022-12-21

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