Statistical-Based Data Quality Model for Mobile Crowd Sensing Systems
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-018-3374-0
Abstract: Quality of information is an emerging issue in the mobile crowd sensing (MCS). MCS is an essential computing paradigm that tasks everyday mobile devices to form crowd sensing networks. Nowadays, there is an increasing demand… read more here.
Keywords: quality; mobile crowd; data quality; sensory data ... See more keywords
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3202178
Abstract: In a hospital, accurate and rapid mortality prediction of Length of Stay (LOS) is essential since it is one of the essential measures in treating patients with severe diseases. When predictions of patient mortality and… read more here.
Keywords: cost effective; sensory data; readmission; prediction ... See more keywords
Multi-View Matrix Factorization for Sparse Mobile Crowdsensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3198081
Abstract: Mobile crowdsensing (MCS) has become a new paradigm for the environment sensing. However, the sparse sensory data prevent the practical and large-scale deployment of MCS systems. Recent studies have demonstrated that the matrix factorization is… read more here.
Keywords: sensory data; factorization; matrix factorization; mobile crowdsensing ... See more keywords
Locomotion Mode Recognition Using Sensory Data With Noisy Labels: A Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2021.3135878
Abstract: Availability of various sensors in the smartphone makes it easier and convenient to collect the data of human locomotion activities. A recognition approach can utilize this sensory data for recognizing a locomotion mode of a… read more here.
Keywords: noisy labels; locomotion; recognition; sensory data ... See more keywords
Retrieving the relative kernel dataset from big sensory data for continuous queries in IoT systems
Sign Up to like & getrecommendations! Published in 2019 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-019-1467-4
Abstract: Internet of Things (IoT) is rapidly developed and widely deployed in recent years, which makes the sensory data generated by IoT systems explode. The huge amount of sensory data generated by some IoT systems has… read more here.
Keywords: sensory data; relative kernel; iot systems; kernel dataset ... See more keywords
Intelligent Health Monitoring of Cable Network Structures Based on Fusion of Twin Simulation and Sensory Data
Sign Up to like & getrecommendations! Published in 2023 at "Symmetry"
DOI: 10.3390/sym15020425
Abstract: The precise and effective prognosis of safety risks is vital to ensure structural safety. This study proposed an intelligent method for the health monitoring of cable network structures, based on the fusion of twin simulation… read more here.
Keywords: sensory data; safety; health monitoring; simulation ... See more keywords