Related references
Note: Only part of the references are listed.CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing
Yimeng Liu et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2022)
CovidSens: a vision on reliable social sensing for COVID-19
Md Tahmid Rashid et al.
ARTIFICIAL INTELLIGENCE REVIEW (2021)
Improved Coverage and Connectivity via Weighted Node Deployment in Solar Insecticidal Lamp Internet of Things
Fan Yang et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
Jiangtao Wang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2020)
Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study
Rudiger Pryss et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2020)
HIGH VOLTAGE DISCHARGE EXHIBITS SEVERE EFFECT ON ZIGBEE-BASED DEVICE IN SOLAR INSECTICIDAL LAMPS INTERNET OF THINGS
Kai Huang et al.
IEEE WIRELESS COMMUNICATIONS (2020)
Delivering IoT Smart Services through Collective Awareness, Mobile Crowdsensing and Open Data
Federico Montori et al.
2020 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS) (2020)
Machine Learning Aspects of the MyShake Global Smartphone Seismic Network
Qingkai Kong et al.
SEISMOLOGICAL RESEARCH LETTERS (2019)
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
E. Raymond Hunt et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
Space-Air-Ground Integrated Network: A Survey
Jiajia Liu et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2018)
Task Assignment in Mobile Crowdsensing: Present and Future Directions
Wei Gong et al.
IEEE NETWORK (2018)
Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft
Roope Nasi et al.
URBAN FORESTRY & URBAN GREENING (2018)
Evaluation of an Agricultural Meteorological Disaster Based on Multiple Criterion Decision Making and Evolutionary Algorithm
Xiaobing Yu et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)
Urban infrastructure safety system based on mobile crowdsensing
Xuefeng Zhao et al.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION (2018)
A Collaborative Internet of Things Architecture for Smart Cities and Environmental Monitoring
Federico Montori et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
A City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles
Xiaojie Wang et al.
IEEE COMMUNICATIONS MAGAZINE (2018)
Robust Mobile Crowd Sensing: When Deep Learning Meets Edge Computing
Zhenyu Zhou et al.
IEEE NETWORK (2018)
GRC-Sensing: An Architecture to Measure Acoustic Pollution Based on Crowdsensing
Willian Zamora et al.
SENSORS (2018)
Crowdsourcing: A Review and Suggestions for Future Research
Antonio Ghezzi et al.
INTERNATIONAL JOURNAL OF MANAGEMENT REVIEWS (2018)
Extraction of Spectral Information from Hyperspectral Data and Application of Hyperspectral Imaging for Food and Agricultural Products
Lankapalli Ravikanth et al.
FOOD AND BIOPROCESS TECHNOLOGY (2017)
Promoting Cooperation by the Social Incentive Mechanism in Mobile Crowdsensing
Guang Yang et al.
IEEE COMMUNICATIONS MAGAZINE (2017)
Online Task Assignment for Crowdsensing in Predictable Mobile Social Networks
Mingjun Xiao et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2017)
Soil Moisture Content Estimation Based on Sentinel-1 and Auxiliary Earth Observation Products. A Hydrological Approach
Dimitrios D. Alexakis et al.
SENSORS (2017)
Real-time and generic queue time estimation based on mobile crowdsensing
Jiangtao Wang et al.
FRONTIERS OF COMPUTER SCIENCE (2017)
ActiveCrowd: A Framework for Optimized Multitask Allocation in Mobile Crowdsensing Systems
Bin Guo et al.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (2017)
IOT BASED MONITORING SYSTEM IN SMART AGRICULTURE
S. R. Prathibha et al.
2017 INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN ELECTRONICS AND COMMUNICATION TECHNOLOGY (ICRAECT) (2017)
Big Data in Smart Farming - A review
Sjaak Wolfert et al.
AGRICULTURAL SYSTEMS (2017)
The Rural Household Multi-Indicator Survey (RHoMIS) for rapid characterisation of households to inform climate smart agriculture interventions: Description and applications in East Africa and Central America
James Hammond et al.
AGRICULTURAL SYSTEMS (2017)
Sparse mobile crowdsensing: challenges and opportunities
Leye Wang et al.
IEEE COMMUNICATIONS MAGAZINE (2016)
iCrowd: Near-Optimal Task Allocation for Piggyback Crowdsensing
Haoyi Xiong et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2016)
The Smart Citizen Factor in Trustworthy Smart City Crowdsensing
Maryam Pouryazdan et al.
IT PROFESSIONAL (2016)
MyShake: A smartphone seismic network for earthquake early warning and beyond
Qingkai Kong et al.
SCIENCE ADVANCES (2016)
Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm
Bin Guo et al.
ACM COMPUTING SURVEYS (2015)
USER PRIVACY AND DATA TRUSTWORTHINESS IN MOBILE CROWD SENSING
Daojing He et al.
IEEE WIRELESS COMMUNICATIONS (2015)
Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research
Suporn Pongnumkul et al.
JOURNAL OF SENSORS (2015)
MCNet: Crowdsourcing Wireless Performance Measurements through the Eyes of Mobile Devices
Sanae Rosen et al.
IEEE COMMUNICATIONS MAGAZINE (2014)
Opportunities in Mobile Crowd Sensing
Huadong Ma et al.
IEEE COMMUNICATIONS MAGAZINE (2014)
Using the mobile phone as Munsell soil-colour sensor: An experiment under controlled illumination conditions
Luis Gomez-Robledo et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2013)
Mobile Crowdsensing: Current State and Future Challenges
Raghu K. Ganti et al.
IEEE COMMUNICATIONS MAGAZINE (2011)