Results 151 to 160 of about 1,427,497 (206)

Task Assignment and Path Planning Mechanism Based on Grade-Matching Degree and Task Similarity in Participatory Crowdsensing. [PDF]

Sensors (Basel)
He X, Wang Y, Zhao X, Huang T, Yu Y.
europepmc   +1 more source

AI and Data-Driven Advancements in Industry 4.0. [PDF]

Sensors (Basel)
Pang Y, Huang T, Wang Q.
europepmc   +1 more source

Mobile Technology for Real-Life Assessment of Positive and Negative Symptoms as well as Stress Among Individuals With Early Psychosis: A Scoping Review. [PDF]

Early Interv Psychiatry
Ishii A, Takano K, Moriishi C, MacLellan A, Kimura K.   +4 more
europepmc   +1 more source

A Roadmap for Ubiquitous Crowdsourced Mobile Sensing-Based Bridge Modal Identification. [PDF]

Sensors (Basel)
Cronin L, Sen D, Marasco G, Dabbaghchian I, Benedetti L, Matarazzo T, Pakzad S.   +6 more
europepmc   +1 more source

Self-Interested Coalitional Crowdsensing for Multi-Agent Interactive Environment Monitoring. [PDF]

Sensors (Basel)
Liu X, Lei X, Li X, Chen S.
europepmc   +1 more source

We don't need more apps, we need connection: recommender systems as under-explored chance to promote students' mental health at universities. [PDF]

Front Psychol
Apolinário-Hagen J, Schobel J, Helten AK, Sahan F, Pryss R, John D.   +5 more
europepmc   +1 more source

Global 10 year ecological momentary assessment and mobile sensing study on tinnitus and environmental sounds. [PDF]

NPJ Digit Med
Kraft R, Langguth B, Simoes J, Reichert M, Schlee W, Pryss R.   +5 more
europepmc   +1 more source

Sparse mobile crowdsensing: challenges and opportunities

IEEE Communications Magazine, 2016
Sensing cost and data quality are two primary concerns in mobile crowdsensing. In this article, we propose a new crowdsensing paradigm, sparse mobile crowdsensing, which leverages the spatial and temporal correlation among the data sensed in different sub-areas to significantly reduce the required number of sensing tasks allocated, thus lowering ...
Leye Wang, Daqing Zhang 0001, Yasha Wang, Chao Chen 0004, Xiao Han 0001, Abdallah M'hamed   +5 more
openaire   +3 more sources

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Mobile Crowdsensing Games in Vehicular Networks

IEEE Transactions on Vehicular Technology, 2018
Vehicular crowdsensing takes advantage of the mobility of vehicles to provide location-based services in large-scale areas. In this paper, mobile crowdsensing (MCS) in vehicular networks is analyzed and the interactions between a crowdsensing server and vehicles equipped with sensors in an area of interest is formulated as a vehicular crowdsensing game.
Huaiyu Dai, H Vincent Poor, Liang Xiao
exaly   +3 more sources

Using On-the-Move Mining for Mobile Crowdsensing

2012 IEEE 13th International Conference on Mobile Data Management, 2012
In this paper, we propose and develop a platform to support data collection for mobile crowdsensing from mobile device sensors that is under-pinned by real-time mobile data stream mining. We experimentally show that mobile data mining provides an efficient and scalable approach for data collection for mobile crowdsensing.
Wanita Sherchan, Prem Prakash Jayaraman, Shonali Krishnaswamy, Arkady B. Zaslavsky, Seng Wai Loke, Abhijat Sinha   +5 more
openaire   +3 more sources