Business Strategy and the Environment, EarlyView.ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner +6 more
wiley +1 more source
Analysis of Sports Injury Estimation Model Based on Mutation Fuzzy Neural Network.
Comput Intell Neurosci, 2021 Wang D, Yang JS.
europepmc +1 more source
Epidemic model dynamics and fuzzy neural-network optimal control with impulsive traveling and migrating: Case study of COVID-19 vaccination. [PDF]
Biomed Signal Process Control, 2022 Treesatayapun C.
europepmc +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Analysis and prediction of compressive and split-tensile strength of secondary steel fiber reinforced concrete based on RBF fuzzy neural network model. [PDF]
PLoS OneLing S +3 more
europepmc +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Recent advances in boosting interfacial bubble dynamics with external fields
Droplet, EarlyView.External physical fields, including acoustic, magnetic, thermal, mechanical, and optical stimuli, accelerate the entire bubble‐dynamics sequence of nucleation, growth, and detachment. Abstract The efficiency of industrial electrocatalytic reactions depends not only on generating gaseous products but also on their detachment from the catalyst surface ...
Wenlu Xie +5 more
wiley +1 more source
EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes
Droplet, EarlyView.We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang +9 more
wiley +1 more source
Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation
Deep Underground Science and Engineering, EarlyView.Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley +1 more source
Compensated Fuzzy Neural Network-Based Music Teaching Ability Assessment Model.
Comput Intell Neurosci, 2021 Chen X.
europepmc +1 more source