A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities

A Capponi, C Fiandrino, B Kantarci… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

Smartphone app usage analysis: datasets, methods, and applications

T Li, T **a, H Wang, Z Tu, S Tarkoma… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

Occupancy-based HVAC control systems in buildings: A state-of-the-art review

M Esrafilian-Najafabadi, F Haghighat - Building and Environment, 2021 - Elsevier
Intelligent buildings have drawn considerable attention due to rapid progress in
communication and information technologies. These buildings can utilize current and …

Interaction data from the copenhagen networks study

P Sapiezynski, A Stopczynski, DD Lassen, S Lehmann - Scientific Data, 2019 - nature.com
We describe the multi-layer temporal network which connects a population of more than 700
university students over a period of four weeks. The dataset was collected via smartphones …

The smartphone psychology manifesto

G Miller - Perspectives on psychological science, 2012 - journals.sagepub.com
By 2025, when most of today's psychology undergraduates will be in their mid-30s, more
than 5 billion people on our planet will be using ultra-broadband, sensor-rich smartphones …

Statistical physics of vaccination

Z Wang, CT Bauch, S Bhattacharyya, A d'Onofrio… - Physics Reports, 2016 - Elsevier
Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

Measuring large-scale social networks with high resolution

A Stopczynski, V Sekara, P Sapiezynski, A Cuttone… - PloS one, 2014 - journals.plos.org
This paper describes the deployment of a large-scale study designed to measure human
interactions across a variety of communication channels, with high temporal resolution and …

The long road to computational location privacy: A survey

V Primault, A Boutet, SB Mokhtar… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
The widespread adoption of continuously connected smartphones and tablets developed
the usage of mobile applications, among which many use location to provide geolocated …

The mobile data challenge: Big data for mobile computing research

JK Laurila, D Gatica-Perez, I Aad, O Bornet… - Pervasive …, 2012 - infoscience.epfl.ch
This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale
research initiative aimed at generating innovations around smartphone-based research, as …