Results 121 to 130 of about 94,605 (282)
AIP AdvancesPermanent magnet spherical motors (PMSpMs) are new special motors with multiple degrees of freedom capability in a limited space. This paper proposes a heterogeneous sensor-based rotor attitude detection (RAD) approach for the PMSpM using the distributed
Sili Zhou +5 more
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Probability forecasts – Part 1: ensembles and probabilistic forecasts
Weather, EarlyView.Ensemble weather forecasts have been in use for many years to help forecasters understand uncertainty in weather predictions but are now becoming core to some operational Numerical Weather Prediction (NWP) systems. Ensembles offer greater predictive skill and information content than deterministic forecasts but are more complex to interpret and ...
Ken Mylne
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
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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 +3 more
wiley +1 more source
International Journal of Advanced Robotic Systems, 2011 The paper proposes derivative-free nonlinear Kalman Filtering for MIMO nonlinear dynamical systems. The considered nonlinear filtering scheme which is based on differential flatness theory extends the class of systems to which Kalman Filtering can be ...
Gerasimos G. Rigatos
doaj
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 +4 more
wiley +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 +3 more
wiley +1 more source
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 +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 +2 more
wiley +1 more source