Results 131 to 140 of about 186,344 (275)
Better on Average? Average Inflation Targeting With an Unclear Averaging Window
Southern Economic Journal, EarlyView.ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley +1 more source
The Mediator's Mind: Navigating Party Psychology and Behavioural Dynamics in Dispute Resolution
Systems Research and Behavioral Science, EarlyView.ABSTRACT Mediation increasingly requires psychological competence, as mediators regulate emotion, cognition and interaction within conflict systems. This study examines how mediators' psychological awareness and behavioural reflexivity shape conflict trajectories, advancing the concept of a behavioural architecture that transforms emotional volatility ...
Ali Almarri
wiley +1 more source
Global Energy InterconnectionAccurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi +1 more
doaj +1 more source
Variance Estimation in a Random Coefficients Model [PDF]
This papers describes an estimator for a standard state-space model with coefficients generated by a random walk that is statistically superior to the Kalman filter as applied to this particular class of models.
Ludsteck, Johannes, Schlicht, Ekkehart
core
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
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 +3 more
wiley +1 more source
Time-varying Beta Risk of Pan-European Sectors: A Comparison of Alternative Modeling Techniques [PDF]
This paper investigates the time-varying behavior of systematic risk for eighteen pan-European industry portfolios. Using weekly data over the period 1987-2005, three different modeling techniques in addition to the standard constant coefficient model ...
Sascha Mergner
core
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
A numerical comparison of discrete Kalman filtering algorithms: An orbit determination case study [PDF]
The numerical stability and accuracy of various Kalman filter algorithms are thoroughly studied. Numerical results and conclusions are based on a realistic planetary approach orbit determination study.
Bierman, G. J., Thornton, C. L.
core +1 more source