Deep reinforcement learning for Internet of Things: A comprehensive survey

W Chen, X Qiu, T Cai, HN Dai… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …

The rise of consumer health wearables: promises and barriers

L Piwek, DA Ellis, S Andrews, A Joinson - PLoS medicine, 2016 - journals.plos.org
The Rise of Consumer Health Wearables: Promises and Barriers | PLOS Medicine Skip to main
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Brave new world? On AI and the management of customer relationships

B Libai, Y Bart, S Gensler, CF Hofacker… - Journal of …, 2020 - journals.sagepub.com
In light of the emerging discourse on AI systems' effect on society, whose perception swings
widely between utopian and dystopian, we conduct herein a critical analysis of how artificial …

[图书][B] Digital sociology: The reinvention of social research

N Marres - 2017 - books.google.com
This provocative new introduction to the field of digital sociology offers a critical overview of
interdisciplinary debates about new ways of knowing society that are emerging today at the …

Integrating analyses in mixed methods research

P Bazeley - 2017 - torrossa.com
• Part 3 provides suggestions to help readers maximise the potential of their analyses as
they seek to develop coherent outcomes that achieve the goals of their research. Links to …

A survey towards an integration of big data analytics to big insights for value-creation

MK Saggi, S Jain - Information Processing & Management, 2018 - Elsevier
Abstract Big Data Analytics (BDA) is increasingly becoming a trending practice that
generates an enormous amount of data and provides a new opportunity that is helpful in …

Ppo2: Location privacy-oriented task offloading to edge computing using reinforcement learning for intelligent autonomous transport systems

H Gao, W Huang, T Liu, Y Yin… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
AI-empowered 5G/6G networks play a substantial role in taking full advantage of the Internet
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …

Using smartphones to collect behavioral data in psychological science: Opportunities, practical considerations, and challenges

GM Harari, ND Lane, R Wang… - Perspectives on …, 2016 - journals.sagepub.com
Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it
unfolds in the course of daily life. Data can be collected from the onboard sensors and other …

Personal sensing: understanding mental health using ubiquitous sensors and machine learning

DC Mohr, M Zhang, SM Schueller - Annual review of clinical …, 2017 - annualreviews.org
Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …

[HTML][HTML] The promises of big data and small data for travel behavior (aka human mobility) analysis

C Chen, J Ma, Y Susilo, Y Liu, M Wang - Transportation research part C …, 2016 - Elsevier
The last decade has witnessed very active development in two broad, but separate fields,
both involving understanding and modeling of how individuals move in time and space …