Results 51 to 60 of about 6,748 (202)
Monitoring the status of urban environments, which provides fundamental information for a city, yields crucial insights into various fields of urban research.
Xu Kang, Liang Liu, Huadong Ma
doaj +1 more source
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices
Smart devices with built-in sensors, computational capabilities, and network connectivity have become increasingly pervasive. The crowds of smart devices offer opportunities to collectively sense and perform computing tasks in an unprecedented scale ...
Belkin, Mikhail +4 more
core +1 more source
Recent developments in sensing technologies, mobile devices and context-aware user interfaces have made it possible to represent information fusion and situational awareness as a conversational process among actors - human and machine agents - at or near
Bakdash, Jonathan Z. +5 more
core +2 more sources
Energy-Efficient Crowdsensing of Human Mobility and Signal Levels in Cellular Networks
The paper presents a practical application of the crowdsensing idea to measure human mobility and signal coverage in cellular networks. Currently, virtually everyone is carrying a mobile phone, which may be used as a sensor to gather research data by ...
Paweł Foremski +3 more
doaj +1 more source
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing
Sparse Mobile CrowdSensing (MCS) is a novel MCS paradigm where data inference is incorporated into the MCS process for reducing sensing costs while its quality is guaranteed.
Liu, Wenbin +5 more
core +1 more source
The Role of Environments and Sensing Strategies in Unmanned Aerial Vehicle Crowdsensing
Crowdsensing has gained popularity across various domains such as urban transportation, environmental monitoring, and public safety. Unmanned aerial vehicle (UAV) crowdsensing is a novel approach that collects extensive data from targeted environments ...
Yaqiong Zhou +5 more
doaj +1 more source
Quality of Information in Mobile Crowdsensing: Survey and Research Challenges
Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost ubiquitous Internet connectivity and come equipped with a plethora of ...
Bhattacharjee, Shameek +4 more
core +1 more source
Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation
The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sensing capabilities. To address this issue, Crowdsensing Intelligence (CSI) has been proposed to collect data from CPSS by harnessing the collective intelligence of a diverse ...
Wansen Wu +8 more
openaire +2 more sources
The cost of dedicated sensors has hampered the collection of the high-quality seismic response data required for real-time health monitoring and damage assessment.
Wenjie Liao +4 more
doaj +1 more source
Cheating-Resilient Incentive Scheme for Mobile Crowdsensing Systems
Mobile Crowdsensing is a promising paradigm for ubiquitous sensing, which explores the tremendous data collected by mobile smart devices with prominent spatial-temporal coverage.
Li, Xin +5 more
core +1 more source

