Sensor data quality: A systematic review
HY Teh, AW Kempa-Liehr, KIK Wang - Journal of Big Data, 2020 - Springer
Sensor data quality plays a vital role in Internet of Things (IoT) applications as they are
rendered useless if the data quality is bad. This systematic review aims to provide an …
rendered useless if the data quality is bad. This systematic review aims to provide an …
A comprehensive survey on imputation of missing data in internet of things
The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …
communication technologies, and Internet protocols with broad applications. Collecting data …
Robust online tensor completion for IoT streaming data recovery
C Liu, T Wu, Z Li, T Ma, J Huang - IEEE transactions on neural …, 2022 - ieeexplore.ieee.org
Reliable data measurement is considered to be one of the critical ingredients for variant
Internet of Things (IoT) applications. Gaining full knowledge of measurement data is …
Internet of Things (IoT) applications. Gaining full knowledge of measurement data is …
Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in iot
The purpose of a Network Intrusion Detection System is to detect intrusive, malicious
activities or policy violations in a host or host's network. In current networks, such systems …
activities or policy violations in a host or host's network. In current networks, such systems …
An evaluative study on IoT ecosystem for smart predictive maintenance (IoT-SPM) in manufacturing: Multiview requirements and data quality
With the recent advances of the Internet of Things (IoT), innovative techniques, and concepts
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …
IoT reliability: a review leading to 5 key research directions
Abstract The Internet of Things (IoT) is rapidly changing the way in which we engage with
technology on a daily basis. The IoT paradigm enables low-resource devices to …
technology on a daily basis. The IoT paradigm enables low-resource devices to …
SSIM—A deep learning approach for recovering missing time series sensor data
Missing data are unavoidable in wireless sensor networks, due to issues such as network
communication outage, sensor maintenance or failure, etc. Although a plethora of methods …
communication outage, sensor maintenance or failure, etc. Although a plethora of methods …
Missing value imputation for industrial IoT sensor data with large gaps
In recent years, the Internet-of-Things (IoT)-oriented smart manufacturing has become a
prominent solution in realizing evolutional digital transformation. Missing data are one of the …
prominent solution in realizing evolutional digital transformation. Missing data are one of the …
Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study
C Velasco-Gallego, I Lazakis - Ocean Engineering, 2020 - Elsevier
In the maritime industry, sensors are utilised to implement condition-based maintenance
(CBM) to assist decision-making processes for energy efficient operations of marine …
(CBM) to assist decision-making processes for energy efficient operations of marine …
[HTML][HTML] Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health
Remote health monitoring is an effective method to enable tracking of at-risk patients outside
of conventional clinical settings, providing early-detection of diseases and preventive care …
of conventional clinical settings, providing early-detection of diseases and preventive care …