Results 121 to 130 of about 1,938,747 (236)
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Better on Average? Average Inflation Targeting With an Unclear Averaging Window
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
On an application of extended kalman filtering to activated sludge processes: a benchmark study [PDF]
The growing demand for performance improvements of urban wastewater system operation coupled with the lack of instrumentation in most wastewater treatment plants motivates the need for non-linear observers to be used as virtual sensors for estimation and
Jeppsson, U., Benazzi, F., Katebi, M.R.
core +1 more source
Research Progress on Thermal Runaway and Thermal Management of Lithium‐Ion Batteries
This review summarizes thermal runaway mechanisms, propagation pathways, mitigation strategies, and intelligent thermal management technologies for lithium‐ion batteries, highlighting the transition from passive heat dissipation to integrated safety regulation through advanced cooling, barrier materials, sensing, machine learning, and digital‐twin ...
Songrong Li +4 more
wiley +1 more source
A Spatio‐Temporal Dynamics Model for Indoor Environmental Forecasting
Accurate forecasting of indoor environmental conditions is essential for intelligent building operations and comfort‐oriented controls. However, reliable prediction remains challenging due to spatial heterogeneity across sensing locations, complex multi‐modal interactions, and nonstationary temporal dynamics.
Goro Terumichi +3 more
wiley +1 more source
Diphtheria transmission prediction by extended Kalman filter
Diphtheria transmission in West Java becomes our concern in this paper. The findings of this article are implementation of isolation and estimation technique of parameters using extended Kalman filter on the model of diphtheria transmission.
Mohammad Ghani
doaj +1 more source
Filtering for precision guidance: The extended Kalman Filter [PDF]
This paper examines the use of the extended Kalman filter for estimating various quantities in typical interceptor-target engagements. The extended Kalman filter is used to estimate the relative position of the target, the relative velocity of the target
Coulter, Adrain S., Ford, Jason J.
core +1 more source
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
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

