Results 131 to 140 of about 55,859 (291)

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

A pose recognition method for warehouse cleaning robots based on extended Kalman filtering

Gong-kuang zidonghua
The lighting intensity of coal mine water storage roadways is uneven and the structured features are obvious. Traditional vision based robot pose recognition methods are not accurate.
LI Guihu, GAO Guijun, LI Junxia, JIA Xuefeng   +3 more
doaj   +1 more source

From Distributed Noisy Data to Event‐Triggered Pinning Observer‐Based Control

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents an event‐triggered pinning observer‐based control of unknown large‐scale interconnected systems under false data injection attacks using distributed noisy data without any system identification step. An exogenous system is used to model the false data injection attack.
Xuan Jia, Junfeng Zhang, Haoyue Yang, Wei Xing   +3 more
wiley   +1 more source

LINEAR FILTRATION OF RANDOM SEQUENCES USING A LEAST SQUARE METHOD WITH REGULARIZATION

Informatika, 2017
At high problem dimension the Kalman filter becomes difficult to realize in real time due to the high computational costs. Alternatively, a technique of filter synthesis on the basis of the extended least square method with extended square discrepancy is
V. M. Artemiev, A. O. Naumov, L. L. Kokhan   +2 more
doaj  

evsBat: An automated toolkit for tracking and quantifying rapid movement of nocturnal animals using event cameras

Methods in Ecology and Evolution, EarlyView.
Abstract Capturing the high‐speed behaviour of nocturnal animals remains technically challenging because conventional video systems require intense illumination that disrupts natural activity. Event‐based vision sensors (EVS) overcome this constraint, yet their ecological uptake has been slow owing to a lack of software capable of analysing the sparse,
Yu Teshima, Yasuhito Hayashi, Yota Aoki, Emyo Fujioka, Shizuko Hiryu, Shinsuke Kawagucci   +5 more
wiley   +1 more source

Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Intensive longitudinal data are often found to be non‐stationary, namely, showing changes in statistical properties, such as means and variance‐covariance structures, over time. One way to accommodate non‐stationarity is to specify key parameters that show over‐time changes as time‐varying parameters (TVPs). However, the nature and dynamics of
Meng Chen, Michael D. Hunter, Sy‐Miin Chow   +2 more
wiley   +1 more source

Adaptive expectations and reaction to information

Economica, EarlyView.
Abstract This paper develops a model combining adaptive expectations with noisy signals, and derives three coefficients and one impulse response function (IRF): the Coibion–Gorodnichenko (CG) coefficient capturing consensus under‐reaction to information, the Bordalo–Gennaioli–Ma–Shleifer coefficient capturing individual over‐reaction, the Kohlhas ...
Junyi Liao
wiley   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

International Statistical Review, EarlyView.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez, D. Diz‐Castro, M. Febrero‐Bande, W. González‐Manteiga   +3 more
wiley   +1 more source

Heterogeneity in Imperfect Inflation Expectations: Theory and Evidence from a Novel Survey

Journal of Money, Credit and Banking, EarlyView.
Abstract Using survey data from Germany, we study heterogeneity in how households form inflation expectations. We elicit (i) uncertainty in perceptions of current inflation and (ii) how persistent households perceive inflation to be. Combining these with standard survey questions on inflation, we infer laws of motion for expectations at the individual ...
ALISTAIR MACAULAY, JAMES MOBERLY
wiley   +1 more source