A survey on feature selection techniques based on filtering methods for cyber attack detection
Y Lyu, Y Feng, K Sakurai - Information, 2023 - mdpi.com
Cyber attack detection technology plays a vital role today, since cyber attacks have been
causing great harm and loss to organizations and individuals. Feature selection is a …
causing great harm and loss to organizations and individuals. Feature selection is a …
Finite-time event-triggered control for semi-Markovian switching cyber-physical systems with FDI attacks and applications
This paper addresses the finite-time event-triggered control problem for nonlinear semi-
Markovian switching cyber-physical systems (S-MSCPSs) under false data injection (FDI) …
Markovian switching cyber-physical systems (S-MSCPSs) under false data injection (FDI) …
A survey on hidden Markov jump systems: Asynchronous control and filtering
In recent years, the problems of asynchronous control and filtering for Markov jump systems
(MJSs) have received great research attention from scientific and engineering communities …
(MJSs) have received great research attention from scientific and engineering communities …
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting
Crop yield forecasting is of great importance to crop market planning, crop insurance,
harvest management, and optimal nutrient management. Commonly used approaches for …
harvest management, and optimal nutrient management. Commonly used approaches for …
Joint parameter and time-delay estimation for a class of nonlinear time-series models
H Xu, F Ding, B Champagne - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
Nonlinear time-series modeling is fundamental to a wide variety of control and prediction
problems. This letter focuses on the joint parameter and time-delay estimation for an …
problems. This letter focuses on the joint parameter and time-delay estimation for an …
Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data
X Zhang, J Shi, X Huang, F ** a hybrid ANFIS-PNN predictive model optimized by imperialism competitive algorithm
A reliable and accurate prediction of the tunnel boring machine (TBM) performance can
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …
assist in minimizing the relevant risks of high capital costs and in scheduling tunneling …