Research graph
References from A novel heterogeneous coupled neuron network and its application in mechanical fault feature enhancement. Local targets link to admitted publications; unresolved targets remain external evidence.
Adaptive stepsize forward–backward pursuit and acoustic emission-based health state assessment of high-speed train bearings
10.1177/14759217241271036 · 2024 · External reference
Surrogate modeling of pantograph-catenary system interactions
2025 · External reference
Multiscale mechanical failures in lithium-ion batteries: experimental and theoretical approaches
10.1007/s10338-025-00584-x · 2025 · External reference
Multi-condition fault diagnosis method for rotating machinery based on whale optimization variational mode decomposition algorithm and deep residual network
10.1088/1361-6501/adda6a · 2025 · External reference
Coupled vibration-acoustic emission model for high-speed train bearings with local defects
10.1016/j.apacoust.2024.110142 · 2024 · External reference
Multimodal imitation learning for arc detection in complex railway environments
2025 · External reference
Hierarchical fault diagnosis of hydrogen productions from ammonia decomposition reactors based on fault severities
10.1016/j.ijhydene.2025.152314 · 2025 · External reference
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
10.1016/j.ymssp.2020.107077 · 2021 · External reference
Research on a novel weak fault detection method based on vibrational resonance in high-dimensional chaotic system and variational mode decomposition
10.1016/j.chaos.2026.118084 · 2026 · External reference
Real-time classification and fault diagnosis of machine signals via a novel decision-tree-inspired analog circuit classifier
10.1016/j.ymssp.2026.114074 · 2026 · External reference
High-speed train wheel set bearing fault diagnosis and prognostics: evaluation of signal processing methods under multi-source interference
10.1177/14759217221122308 · 2023 · External reference
Adversarial domain adaptation model based on LDTW for extreme partial transfer fault diagnosis of rotating machines
10.1109/tim.2024.3476708 · 2024 · External reference
M4oE: a multitask multi-input multiscale mixture-of-experts method for multisensor fusion diagnosis
10.1109/jiot.2026.3668199 · 2026 · External reference
Harmonic-Gaussian double-well potential stochastic resonance with its application to enhance weak fault characteristics of machinery
10.1007/s11071-023-08248-6 · 2023 · External reference
Advances and challenges in the hunting instability diagnosis of high-speed trains
10.3390/s24175719 · 2024 · External reference
Positive-incentive noise in artificial intelligence-enabled machine fault diagnosis
10.1177/14759217251370358 · 2025 · External reference
A novel simultaneous diagnosis method for IGBT open-circuit faults and current sensor faults of three-phase SPWM inverter
10.1109/tpel.2025.3550582 · 2025 · External reference
Sifting process of EMD and its application in rolling element bearing fault diagnosis
10.1007/s12206-009-0438-9 · 2009 · External reference
A multi-scale attention fusion framework based on KAN for rolling mill fault diagnosis
10.1016/j.ymssp.2026.113931 · 2026 · External reference
AI-enabled defect detection in industrial products: a comprehensive survey, key insights and future research challenges
10.1016/j.aei.2025.104067 · 2026 · External reference
A noise-enhanced feature extraction method combined with tunable Q-factor wavelet transform and its application to planet-bearing fault diagnosis
10.1016/j.apacoust.2025.110845 · 2025 · External reference
Double attention-guided tree-inspired grade decision network: a method for bearing fault diagnosis of unbalanced samples under strong noise conditions
10.1016/j.aei.2024.103004 · 2025 · External reference
Noise robust voice activity detection using joint phase and magnitude based feature enhancement
10.1007/s12652-017-0482-8 · 2017 · External reference
Research on adaptive local feature enhancement in convolutional neural networks
10.1049/iet-ipr.2020.0591 · 2020 · External reference
Progressive feature enhancement network for surface defect segmentation
10.1109/tetci.2024.3523770 · 2025 · External reference
TFSAF-net: a hybrid network integrating time-frequency spectral feature enhancement and attention for fault diagnosis of rotating machinery
10.1016/j.aei.2025.104262 · 2026 · External reference
Applications of stochastic resonance to machinery fault detection: a review and tutorial
10.1016/j.ymssp.2018.12.032 · 2019 · External reference
An intelligent fault diagnosis method enhanced by noise injection for machinery
10.1109/tim.2023.3322488 · 2023 · External reference
Stochastic resonance in gene transcriptional regulatory system driven by Gaussian noise and Lévy noise
10.1016/j.chaos.2022.113096 · 2023 · External reference
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
10.1038/s41467-025-56297-9 · 2025 · External reference
Using reservoir computing to solve FPK equations for stochastic dynamical systems under Gaussian or non-Gaussian excitation
10.1016/j.matcom.2024.07.024 · 2024 · External reference
Noise-boosted weak signal detection in fractional nonlinear systems enhanced by increasing potential-well width and its application to mechanical fault diagnosis
10.1016/j.chaos.2023.113960 · 2023 · External reference
Dendritic integration inspired artificial neural networks capture data correlation
2024 · External reference
Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics
10.1038/s41467-023-44614-z · 2024 · External reference
Multi-level feature fusion network for neuronal morphology classification
2024 · External reference
Computational models of schizophrenia and dopamine modulation in the prefrontal cortex
10.1038/nrn2462 · 2008 · External reference
Cluster discharge resonance neuron model and its application in machinery multi-dimensional fault vibration signals
2025 · External reference
Coupled neurons with multi-objective optimization benefit incipient fault identification of machinery
10.1016/j.chaos.2021.110813 · 2021 · External reference
A novel Gaussian neuron discharge network with noise benefits and its application to machine fault diagnosis
10.1109/jsen.2026.3669371 · 2026 · External reference
Stochastic resonance: theory and numerics
10.1063/1.1858671 · 2005 · External reference
An overview of machine learning, deep learning, and reinforcement learning-based techniques in quantitative finance: recent progress and challenges
10.3390/app13031956 · 2023 · External reference
A survey on deep reinforcement learning algorithms for robotic manipulation
2023 · External reference
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
10.1109/tasl.2011.2134090 · 2011 · External reference
The novel quantum blockchain federated deep reinforcement learning technique for cyber-security in agent-based IoMT ecosystems
10.1080/02564602.2025.2596633 · 2026 · External reference
Deep reinforcement learning: a brief survey
10.1109/msp.2017.2743240 · 2017 · External reference
Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines
10.1016/j.engappai.2021.104451 · 2021 · External reference
A target tracking method based on a pyramid channel attention mechanism
2025 · External reference
Convolutional neural network optimization via channel reassessment attention module
10.1016/j.dsp.2022.103408 · 2022 · External reference
A comparative study of reinforcement learning algorithms for distribution network reconfiguration with deep q-learning-based action sampling
10.1109/access.2023.3243549 · 2023 · External reference
Enhanced multiple target tracking using a generalized multi-target smoothing algorithm with tracklet association
10.1109/access.2024.3442832 · 2024 · External reference
Joint optimization of AUV trajectory, service caching, and task offloading in marine internet of things
10.1109/jsyst.2026.3652196 · 2026 · External reference
Modelling of the spalled rolling element bearing vibration signal: an overview and some new results
10.1006/mssp.1999.1237 · 2000 · External reference
Current status of research on fault diagnosis using machine learning for gear transmission systems
10.3390/machines12100679 · 2024 · External reference
Comparison of spatial linear mixed models for ecological data based on the correct classification rates
10.1016/j.spasta.2019.100395 · 2020 · External reference
Quantum particle swarm optimization algorithm based on diversity migration strategy
10.1016/j.future.2024.04.008 · 2024 · External reference
Speech enhancement using generalized weighted β-order spectral amplitude estimator
10.1016/j.specom.2014.01.002 · 2014 · External reference
Shrinkage estimation-based source localization with minimum mean squared error criterion and minimum bias criterion
10.1016/j.dsp.2014.02.009 · 2014 · External reference
Modelling of the spalled rolling element bearing vibration signal: an overview and some new results
10.1006/mssp.1999.1237 · ExternalCitation · doi-reference
Multiscale mechanical failures in lithium-ion batteries: experimental and theoretical approaches
10.1007/s10338-025-00584-x · ExternalCitation · doi-reference
Harmonic-Gaussian double-well potential stochastic resonance with its application to enhance weak fault characteristics of machinery
10.1007/s11071-023-08248-6 · ExternalCitation · doi-reference
Sifting process of EMD and its application in rolling element bearing fault diagnosis
10.1007/s12206-009-0438-9 · ExternalCitation · doi-reference
Noise robust voice activity detection using joint phase and magnitude based feature enhancement
10.1007/s12652-017-0482-8 · ExternalCitation · doi-reference
Double attention-guided tree-inspired grade decision network: a method for bearing fault diagnosis of unbalanced samples under strong noise conditions
10.1016/j.aei.2024.103004 · ExternalCitation · doi-reference
AI-enabled defect detection in industrial products: a comprehensive survey, key insights and future research challenges
10.1016/j.aei.2025.104067 · ExternalCitation · doi-reference
TFSAF-net: a hybrid network integrating time-frequency spectral feature enhancement and attention for fault diagnosis of rotating machinery
10.1016/j.aei.2025.104262 · ExternalCitation · doi-reference
Coupled vibration-acoustic emission model for high-speed train bearings with local defects
10.1016/j.apacoust.2024.110142 · ExternalCitation · doi-reference
A noise-enhanced feature extraction method combined with tunable Q-factor wavelet transform and its application to planet-bearing fault diagnosis
10.1016/j.apacoust.2025.110845 · ExternalCitation · doi-reference
Coupled neurons with multi-objective optimization benefit incipient fault identification of machinery
10.1016/j.chaos.2021.110813 · ExternalCitation · doi-reference
Stochastic resonance in gene transcriptional regulatory system driven by Gaussian noise and Lévy noise
10.1016/j.chaos.2022.113096 · ExternalCitation · doi-reference
Noise-boosted weak signal detection in fractional nonlinear systems enhanced by increasing potential-well width and its application to mechanical fault diagnosis
10.1016/j.chaos.2023.113960 · ExternalCitation · doi-reference
Research on a novel weak fault detection method based on vibrational resonance in high-dimensional chaotic system and variational mode decomposition
10.1016/j.chaos.2026.118084 · ExternalCitation · doi-reference
Shrinkage estimation-based source localization with minimum mean squared error criterion and minimum bias criterion
10.1016/j.dsp.2014.02.009 · ExternalCitation · doi-reference
Convolutional neural network optimization via channel reassessment attention module
10.1016/j.dsp.2022.103408 · ExternalCitation · doi-reference
Quantum deep reinforcement learning for rotor side converter control of double-fed induction generator-based wind turbines
10.1016/j.engappai.2021.104451 · ExternalCitation · doi-reference
Quantum particle swarm optimization algorithm based on diversity migration strategy
10.1016/j.future.2024.04.008 · ExternalCitation · doi-reference
Hierarchical fault diagnosis of hydrogen productions from ammonia decomposition reactors based on fault severities
10.1016/j.ijhydene.2025.152314 · ExternalCitation · doi-reference
Using reservoir computing to solve FPK equations for stochastic dynamical systems under Gaussian or non-Gaussian excitation
10.1016/j.matcom.2024.07.024 · ExternalCitation · doi-reference
Comparison of spatial linear mixed models for ecological data based on the correct classification rates
10.1016/j.spasta.2019.100395 · ExternalCitation · doi-reference
Speech enhancement using generalized weighted β-order spectral amplitude estimator
10.1016/j.specom.2014.01.002 · ExternalCitation · doi-reference
Applications of stochastic resonance to machinery fault detection: a review and tutorial
10.1016/j.ymssp.2018.12.032 · ExternalCitation · doi-reference
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
10.1016/j.ymssp.2020.107077 · ExternalCitation · doi-reference
A multi-scale attention fusion framework based on KAN for rolling mill fault diagnosis
10.1016/j.ymssp.2026.113931 · ExternalCitation · doi-reference
Real-time classification and fault diagnosis of machine signals via a novel decision-tree-inspired analog circuit classifier
10.1016/j.ymssp.2026.114074 · ExternalCitation · doi-reference
Computational models of schizophrenia and dopamine modulation in the prefrontal cortex
10.1038/nrn2462 · ExternalCitation · doi-reference
Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics
10.1038/s41467-023-44614-z · ExternalCitation · doi-reference
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
10.1038/s41467-025-56297-9 · ExternalCitation · doi-reference
Research on adaptive local feature enhancement in convolutional neural networks
10.1049/iet-ipr.2020.0591 · ExternalCitation · doi-reference
Stochastic resonance: theory and numerics
10.1063/1.1858671 · ExternalCitation · doi-reference
The novel quantum blockchain federated deep reinforcement learning technique for cyber-security in agent-based IoMT ecosystems
10.1080/02564602.2025.2596633 · ExternalCitation · doi-reference
Multi-condition fault diagnosis method for rotating machinery based on whale optimization variational mode decomposition algorithm and deep residual network
10.1088/1361-6501/adda6a · ExternalCitation · doi-reference
A comparative study of reinforcement learning algorithms for distribution network reconfiguration with deep q-learning-based action sampling
10.1109/access.2023.3243549 · ExternalCitation · doi-reference
Enhanced multiple target tracking using a generalized multi-target smoothing algorithm with tracklet association
10.1109/access.2024.3442832 · ExternalCitation · doi-reference
M4oE: a multitask multi-input multiscale mixture-of-experts method for multisensor fusion diagnosis
10.1109/jiot.2026.3668199 · ExternalCitation · doi-reference
A novel Gaussian neuron discharge network with noise benefits and its application to machine fault diagnosis
10.1109/jsen.2026.3669371 · ExternalCitation · doi-reference
Joint optimization of AUV trajectory, service caching, and task offloading in marine internet of things
10.1109/jsyst.2026.3652196 · ExternalCitation · doi-reference
Deep reinforcement learning: a brief survey
10.1109/msp.2017.2743240 · ExternalCitation · doi-reference
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
10.1109/tasl.2011.2134090 · ExternalCitation · doi-reference
Progressive feature enhancement network for surface defect segmentation
10.1109/tetci.2024.3523770 · ExternalCitation · doi-reference
An intelligent fault diagnosis method enhanced by noise injection for machinery
10.1109/tim.2023.3322488 · ExternalCitation · doi-reference
Adversarial domain adaptation model based on LDTW for extreme partial transfer fault diagnosis of rotating machines
10.1109/tim.2024.3476708 · ExternalCitation · doi-reference
A novel simultaneous diagnosis method for IGBT open-circuit faults and current sensor faults of three-phase SPWM inverter
10.1109/tpel.2025.3550582 · ExternalCitation · doi-reference
High-speed train wheel set bearing fault diagnosis and prognostics: evaluation of signal processing methods under multi-source interference
10.1177/14759217221122308 · ExternalCitation · doi-reference
Adaptive stepsize forward–backward pursuit and acoustic emission-based health state assessment of high-speed train bearings
10.1177/14759217241271036 · ExternalCitation · doi-reference
Positive-incentive noise in artificial intelligence-enabled machine fault diagnosis
10.1177/14759217251370358 · ExternalCitation · doi-reference
An overview of machine learning, deep learning, and reinforcement learning-based techniques in quantitative finance: recent progress and challenges
10.3390/app13031956 · ExternalCitation · doi-reference
Current status of research on fault diagnosis using machine learning for gear transmission systems
10.3390/machines12100679 · ExternalCitation · doi-reference
Advances and challenges in the hunting instability diagnosis of high-speed trains
10.3390/s24175719 · ExternalCitation · doi-reference
