Results 111 to 120 of about 12,338 (264)

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

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, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

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

Heterogeneous sensor-based rotor attitude detection for a spherical motor using distributed Kalman filtering method

AIP Advances
Permanent 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, Guoli Li, Qunjing Wang, Jiahu Guo, Yuanyuan Jiang, Jiazi Xu   +5 more
doaj   +1 more source

Parameter Estimation of Nonlinear Structural Systems Using Bayesian Filtering Methods

Vibration
This paper examines the performance of Bayesian filtering system identification in the context of nonlinear structural and mechanical systems. The objective is to assess the accuracy and limitations of the four most well-established filtering-based ...
Kalil Erazo
doaj   +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

Evolutionary Dynamic Multiobjective Optimisation Assisted by Inverse Regression Tree Predictor

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Dynamic multiobjective optimisation problems (DMOPs) are optimisation problems with multiple conflicting objectives that can change over time. Most dynamic multiobjective optimisation evolutionary algorithms (DMOEAs) attempt to estimate Pareto‐optimal sets (PS) directly in the decision space.
Kai Gao, Lihong Xu
wiley   +1 more source

Cyberattack‐Resilient Fractional‐Order PPI Control for Frequency Regulation in PV‐Integrated Power Systems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Load‐frequency control (LFC) comprises a primary process in interconnected electrical power systems, playing a critical role in maintaining the stability and reliability of the electrical grid. It is of paramount importance that the designed controller functions in an optimal manner, particularly with regard to the compression of area ...
Bora Çavdar, Erdinç Şahin, Fatih Mehmet Nuroğlu   +2 more
wiley   +1 more source

Brain‐Mimetic Mapless Navigation Framework Integrating Visual Streams and Entorhinal‐Hippocampal‐Prefrontal Circuits

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Efficient autonomous navigation in complex and unstructured environments without pre‐existing maps remains a significant challenge for mobile robotics. Drawing inspiration from rodent neural architectures, this study proposes a brain‐mimetic mapless navigation framework for mobile robots.
Yishen Liao, Naigong Yu, Hejie Yu, Shufei Fu   +3 more
wiley   +1 more source

Derivative-free Nonlinear Kalman Filtering for MIMO Dynamical Systems: Applications to Multi-DOF Robotic Manipulators

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  

Not all Temperature Shocks are Alike: Disentangling Heat and High Temperature Shocks and Their Effects on Inflation in Australia

Economic Record, EarlyView.
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley   +1 more source