Missing data problem in the monitoring system: A review
J Du, M Hu, W Zhang - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Missing data is a common phenomenon in sensor networks, especially in the large-scale
monitoring system. It can be affected by various kinds of reasons. Moreover, incomplete data …
monitoring system. It can be affected by various kinds of reasons. Moreover, incomplete data …
A methodology for data gap filling in wave records using Artificial Neural Networks
Wave measuring equipment are subject to malfunction that can be caused by various
reasons such as maintenance, navigation accidents, errors in communications and …
reasons such as maintenance, navigation accidents, errors in communications and …
Novel time-efficient approach to calibrate VARANS-VOF models for simulation of wave interaction with porous structures using Artificial Neural Networks
F Vieira, F Taveira-Pinto, P Rosa-Santos - Ocean Engineering, 2021 - Elsevier
Numerical models are valuable tools to provide information on wave-structure interaction
processes that are difficult to measure in a physical model. The current level of accuracy of …
processes that are difficult to measure in a physical model. The current level of accuracy of …
A deep learning method for data recovery in sensor networks using effective spatio-temporal correlation data
Purpose In large-scale monitoring systems, sensors in different locations are deployed to
collect massive useful time-series data, which can help in real-time data analytics and its …
collect massive useful time-series data, which can help in real-time data analytics and its …
Filling gaps in significant wave height time series records using bidirectional gated recurrent unit and cressman analysis
J Wang, K Wen, F Deng - Dynamics of Atmospheres and Oceans, 2023 - Elsevier
Continuous records of wave data are of great significance for marine researches and
analyses. However, the measurement of wave by buoys is often interrupted for various …
analyses. However, the measurement of wave by buoys is often interrupted for various …
Evolutionary modeling of inclined dense jets discharged from multiport diffusers
ABSTRACT Yan, X. and Mohammadian, A., 2020. Evolutionary modeling of inclined dense
jets discharged from multiport diffusers. Journal of Coastal Research, 36 (2), 362–371 …
jets discharged from multiport diffusers. Journal of Coastal Research, 36 (2), 362–371 …
Neural network modeling of monthly salinity variations in oyster reef in Apalachicola Bay in response to freshwater inflow and winds
D Le, W Huang, E Johnson - Neural Computing and Applications, 2019 - Springer
Estuarine organisms have varying tolerances and respond differently to salinity. Bottom-
dwelling species such as oysters tolerate some change in salinity, but salinity outside an …
dwelling species such as oysters tolerate some change in salinity, but salinity outside an …
Sensor Data Recovery of Faulty Rocket Engine Based on Multistage Graph Convolutional Network
Q Li, X Li, W Zhang, W Yao - Journal of Spacecraft and Rockets, 2023 - arc.aiaa.org
Engine, the indispensable core of a rocket, has a significant impact on space exploration,
especially the high-thrust liquid-propellant rocket engine. Most new-generation manned …
especially the high-thrust liquid-propellant rocket engine. Most new-generation manned …
Automatic tracking and intelligent observation of tidal bore propagation velocity based on UAV and computer vision
X Zhang, G Zhan, T Ding, H Jiang… - Measurement and …, 2024 - journals.sagepub.com
The rapidly developed Unmanned Aerial Vehicles (UAV) and artificial intelligence
technology has prompted the real-time and accurate observation measurements of tidal …
technology has prompted the real-time and accurate observation measurements of tidal …
Simulation of Remote-Sensed Chlorophyll Concentration with a Coupling Model Based on Numerical Method and CA-SVM in Bohai Bay, China
X **ang, W Lu, X Cui, Z Li, J Tao - Journal of Coastal …, 2018 - meridian.allenpress.com
ABSTRACT **ang, X.; Lu, W.; Cui, X.; Li, Z., and Tao, J., 2018. Simulation of remote-sensed
chlorophyll concentration with a coupling model based on numerical method and CA-SVM …
chlorophyll concentration with a coupling model based on numerical method and CA-SVM …