Results 51 to 60 of about 2,442,562 (279)
Mobile Crowd Sensing for Hypertensive Patient [PDF]
, 2020 The main aim is to detect Hypertension without considering Blood Pressure or any other medical test. The proposed method mainly focuses on generating huge database which contains symptoms of Hypertensive patients. In MCS environment, another key component is providing incentive to volunteers in-order to motivate them to take part in data collection ...
Ankit Patel +2 more
openaire +1 more source
Introducing a flexible rewarding platform for mobile crowd-sensing applications [PDF]
, 2018 Over the course of the last years, a growing number of Mobile Crowd-Sensing (MCS) applications have been developed to exploit the broad availability of sensor-equipped mobile devices for large scale monitoring and data gathering tasks.
Saverio Delpriori +4 more
core +1 more source
IEEE Access, 2019 Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful approach incorporating human wisdom into mobile computations to solve problems while exploiting the advantages of mobility and context-awareness.
Jurairat Phuttharak, Seng W. Loke
doaj +1 more source
Proceedings, 2019 Augmented reality is well known for extending the real world by adding computer-generated perceptual information and overlaid sensory information. In contrast, simulation worlds are commonly closed and rely on artificial sensory information generated by ...
Stefan Bosse, Uwe Engel
doaj +1 more source
Distributed Task Offloading in Heterogeneous Vehicular Crowd Sensing
Sensors, 2016 The ability of road vehicles to efficiently execute different sensing tasks varies because of the heterogeneity in their sensing ability and trajectories.
Yazhi Liu +4 more
doaj +1 more source
A Secure Task Allocation Technology Based on Crowd Sensing Network [PDF]
Jisuanji gongcheng, 2016 Crowd sensing networks achieve large-scale sensing by using the existing sensing equipment of users as well as the deployed communication networks.Hence,it can efficiently address the critical problem of high cost of large scale network.However,during ...
TANG Yan,LIU Ruiqi,YANG Panlong,FAN Xiaochen,LI Qingyu
doaj +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Egyptian Informatics Journal, 2023 Mobile Crowd Sensing (MCS) is an effective way to tackle day-to-day life problems nowadays, from Google Maps to Uber cabs. It is an effective and efficient way of data collection, processing and delivery of results to the users, from the users and for ...
K.R. Jansi, M. Arulprakash
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network
Journal of Electrical and Computer Engineering, 2017 Mobile crowd sensing (MCS) network collects scenario, environmental, and individual data within a specific range via the intelligent sensing equipment carried by the mobile users, thus providing social decision-making services.
Jiezhuo Zhong +3 more
doaj +1 more source