Shen Yin

Norwegian University of Science and Technology

Norway

Research Interests

Explore related searches

Professors in Norway

Contact this professor

ORCID

Google Scholar

Academic Page

Articles (28)

A Data-Driven Encrypted Transmission and Security Monitoring Approach for Cyber-Physical Systems

Article Link

Year:

2025

A Transfer Gated Recurrent Unit Model for Battery Health Monitoring Under Cross-Domain Conditions

Article Link

Year:

2025

Adaptive Multiresampling Learning Based on Dual-Scale Feature Aggregation for Industrial Quality Prediction

Article Link

Year:

2025

Comparative analysis of offshore wind turbine blade maintenance: RL-based and classical strategies for sustainable approach

Article Link

Year:

2025

Decentralized Saturation Control for Large-Scale Stochastic Systems With Strict Feedforward Structure and Its Application

Article Link

Year:

2025

Finite-time optimal control for a class of nonlinear systems with performance constraints via critic-only ADP: Theory and experiments

Article Link

Year:

2025

Multivariate Correlation Self-Distillation Transformer for Time Series Forecasting With Incomplete Data

Article Link

Year:

2025

Rfpillarnext: geometry-aware 3D object detection for dynamic LiDAR point clouds

Article Link

Year:

2025

Self-Attention Sliding Window Enhanced Canonical Correlation Analysis for Incipient Fault Detection in Dynamic Industrial Processes

Article Link

Year:

2025

FDGR-Net: Feature Decouple and Gated Recalibration Network for medical image landmark detection

Article Link

Year:

2024

A novel data augmentation approach to fault diagnosis with class-imbalance problem

Article Link

Year:

2024

A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis

Article Link

Year:

2024

A random-switch-surface based neural sliding mode framework against actuator attacks of delayed singular semi-Markov jump systems

Article Link

Year:

2024

Degradation modeling under time-varying operating conditions: Inference and prognosis with particle filter

Article Link

Year:

2024

Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective

Article Link

Year:

2024

Observer-based self-triggered FTC for Markovian jump networked systems

Article Link

Year:

2024

A Case Study for Enhancing Maintenance of Cyber-Physical Systems With Digital Twin

Article Link

Year:

2024

A Distributed Closed-Loop Monitoring Approach for Interconnected Industrial Systems

Article Link

Year:

2023

A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics

Article Link

Year:

2023

A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition

Article Link

Year:

2023

Adaptive output regulation of a class of 1-D hyperbolic PDEs with unknown boundary scaled parameters

Article Link

Year:

2023

An Extreme Gradient Boosting Aided Fault Diagnosis Approach: A Case Study of Fuse Test Bench

Article Link

Year:

2023

An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition

Article Link

Year:

2023

An integrated multi-head dual sparse self-attention network for remaining useful life prediction

Article Link

Year:

2023

Fast finite-time observer-based sliding mode controller design for a class of uncertain nonlinear systems with input saturation

Article Link

Year:

2023

MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation

Article Link

Year:

2023

Memoryless parameter-dependent control strategy of stochastic strict-feedback time delay systems

Article Link

Year:

2023

A Data-model Interactive Remaining Useful Life Prediction Approach of Lithium-ion Batteries Based on PF-BiGRU-TSAM

Article Link

Year:

2023

Collaborators (2)

Juan J. Rodríguez-Andina

Universidade de Vigo

SPAIN

stevan dubljevic

University of Alberta

CANADA

Shen Yin

Research Interests

Explore related searches

Contact this professor

Articles (28)

A Data-Driven Encrypted Transmission and Security Monitoring Approach for Cyber-Physical Systems

A Transfer Gated Recurrent Unit Model for Battery Health Monitoring Under Cross-Domain Conditions

Adaptive Multiresampling Learning Based on Dual-Scale Feature Aggregation for Industrial Quality Prediction

Comparative analysis of offshore wind turbine blade maintenance: RL-based and classical strategies for sustainable approach

Decentralized Saturation Control for Large-Scale Stochastic Systems With Strict Feedforward Structure and Its Application

Finite-time optimal control for a class of nonlinear systems with performance constraints via critic-only ADP: Theory and experiments

Multivariate Correlation Self-Distillation Transformer for Time Series Forecasting With Incomplete Data

Rfpillarnext: geometry-aware 3D object detection for dynamic LiDAR point clouds

Self-Attention Sliding Window Enhanced Canonical Correlation Analysis for Incipient Fault Detection in Dynamic Industrial Processes

FDGR-Net: Feature Decouple and Gated Recalibration Network for medical image landmark detection

A novel data augmentation approach to fault diagnosis with class-imbalance problem

A novel generalized source-free domain adaptation approach for cross-domain industrial fault diagnosis

A random-switch-surface based neural sliding mode framework against actuator attacks of delayed singular semi-Markov jump systems

Degradation modeling under time-varying operating conditions: Inference and prognosis with particle filter

Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective

Observer-based self-triggered FTC for Markovian jump networked systems

A Case Study for Enhancing Maintenance of Cyber-Physical Systems With Digital Twin

A Distributed Closed-Loop Monitoring Approach for Interconnected Industrial Systems

A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics

A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition

Adaptive output regulation of a class of 1-D hyperbolic PDEs with unknown boundary scaled parameters

An Extreme Gradient Boosting Aided Fault Diagnosis Approach: A Case Study of Fuse Test Bench

An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition

An integrated multi-head dual sparse self-attention network for remaining useful life prediction

Fast finite-time observer-based sliding mode controller design for a class of uncertain nonlinear systems with input saturation

MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation

Memoryless parameter-dependent control strategy of stochastic strict-feedback time delay systems

A Data-model Interactive Remaining Useful Life Prediction Approach of Lithium-ion Batteries Based on PF-BiGRU-TSAM

Collaborators (2)

Juan J. Rodríguez-Andina

stevan dubljevic

How do I reach out?

Meet Kite AI