Results 161 to 170 of about 75,448 (316)

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

open access: yesSmartBot, EarlyView.
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

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

open access: yesGlobal Energy Interconnection
Accurate 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

Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter

open access: yes, 2011
When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez   +11 more
core   +1 more source

Better on Average? Average Inflation Targeting With an Unclear Averaging Window

open access: yesSouthern 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

Proposta de estimador não linear intermitente para sistemas de controle via rede sem fio [PDF]

open access: yes, 2013
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2013.Nesta tese, é tratado do problema de estimação em Sistemas de Controle Via Rede sem fio ...
Foletto, Tanisia de Carli
core  

The Mediator's Mind: Navigating Party Psychology and Behavioural Dynamics in Dispute Resolution

open access: yesSystems 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

Heat Tolerance Limits in Indoor Environments: Prolonged Fixed‐Condition Exposure Versus Humidity‐Ramp Protocols

open access: yesSafety 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

PENERAPAN ENSEMBLE KALMAN FILTER PADA MODEL PENGARUH TERAPI PENGOBATAN TERHADAP DINAMIKA VIRUS HIV DALAM TUBUH [PDF]

open access: yes, 2013
RINGKASAN Penerapan Ensemble Kalman Filter pada Model Pengaruh Terapi Pengobatan Terhadap Dinamika Virus HIV dalam Tubuh. Rini Herawati, 091810101051; 2013: 42 halaman; Jurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam ...
Rini Herawati
core  

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

open access: yesArtificial 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

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

open access: yesCAAI 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

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