Using mobile devices as scientific measurement instruments: Reliable android task scheduling-Reference-Cited by-同舟云学术

Using mobile devices as scientific measurement instruments: Reliable android task scheduling

Published:2022-04 Issue: Volume:81 Page:101550
ISSN:1574-1192
Container-title:Pervasive and Mobile Computing
language:en
Short-container-title:Pervasive and Mobile Computing

Author:

González-Pérez Alberto^ORCID,Matey-Sanz Miguel^ORCID,Granell Carlos^ORCID,Casteleyn Sven^ORCID

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference26 articles.

1. Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm;Guo;ACM Comput. Surv.,2015

2. Enhancing integrated indoor/outdoor mobility in a smart campus;Torres-Sospedra;Int. J. Geogr. Inf. Sci.,2015

3. Collective sensing: Integrating geospatial technologies to understand urban systems—An overview;Blaschke;Remote Sens.,2011

4. Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: A systematic review;Colombo;J. Clin. Med.,2019

5. Smartphone-based ecological momentary assessment of well-being: A systematic review and recommendations for future studies;de Vries;J. Happiness Stud.,2020

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