Results 151 to 160 of about 9,274 (303)
Extended Kalman filtering problem in wildlife telemetry
, 2001 The problem of accurately locating the position of an animal using noisy directional data is treated here from the viewpoint of extended Kalman filtering methodology.
Sugathadasa, Manjula Samanmalee
core
, 2014 To resolve the difficulty in establishing accurate priori noise model for the extended Kalman filtering algorithm, propose the fractional-order Darwinian particle swarm optimization (PSO) algorithm has been proposed and introduced into the fuzzy adaptive
Qiguang Zhu +10 more
core +1 more source
Safety Science and Technology, EarlyView.Fast ramp humidity protocols systematically underestimate human heat tolerance by failing to match physiological equilibration timescales. Prolonged fixed‐condition exposures reveal substantially higher sustainable wet‐bulb limits, supporting their use as the gold standard and motivating slower, equilibration‐based ramp designs for accurate heat risk ...
Fèlix Faming Wang, Yi Xu, Wentao Wu
wiley +1 more source
FLEXIBLE LOW-COST HW/SW ARCHITECTURES FOR TEST, CALIBRATION AND CONDITIONING OF MEMS SENSOR SYSTEMS
, 2011 During the last years smart sensors based on Micro-Electro-Mechanical systems (MEMS) are widely spreading over various fields as automotive, biomedical, optical and consumer, and nowadays they represent the outstanding state of the art.
SECHI, FRANCESCO
core
Artificial Intelligence for Engineering, EarlyView.This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley +1 more source
Non-linear and robust filtering: From the Kalman filter to the particle filter
, 2002 This report presents a review of recent non-linear and robust filtering results for stochastic systems. We focus on stability and robustness issues that arise in the filtering of real systems.
Ford, Jason J.
core
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 +2 more
doaj
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
On an application of extended kalman filtering to activated sludge processes: a benchmark study
, 2005 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
Katebi, R +5 more
core
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