Imagen de Portada

Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yin, Yanlei, Wang, Lihua, Hoang, Dinh Thai, Wang, Wenbo, Niyato, Dusit
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Systems and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks
por: Wang, Zhiying, et al.
Publicado: (2024)

Variational Digital Twins
por: Burnett, Logan A., et al.
Publicado: (2025)

Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
por: Ma, Longfei, et al.
Publicado: (2024)

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework
por: Lin, Yu-Zheng, et al.
Publicado: (2024)

An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
por: Yang, Hanqing, et al.
Publicado: (2024)

Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems
por: Archambault, Pascal, et al.
Publicado: (2026)

Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
por: Yu, Hanzhi, et al.
Publicado: (2025)

Physics-Embedded Neural ODEs for Sim2Real Edge Digital Twins of Hybrid Power Electronics Systems
por: Zheng, Jialin, et al.
Publicado: (2025)

Data-Driven Prediction and Control of Hammerstein-Wiener Systems with Implicit Gaussian Processes
por: Yin, Mingzhou, et al.
Publicado: (2025)

Control of Medical Digital Twins with Artificial Neural Networks
por: Böttcher, Lucas, et al.
Publicado: (2024)

Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior
por: Xinming, Wang, et al.
Publicado: (2024)

Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges
por: Cheng, Nan, et al.
Publicado: (2024)

Real-Time AI-Driven Milling Digital Twin Towards Extreme Low-Latency
por: Liu, Wenyi, et al.
Publicado: (2025)

Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
por: Nabila, Umme Mahbuba, et al.
Publicado: (2026)

Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
por: Hsin, Junette, et al.
Publicado: (2023)

SpecAttn: Speculating Sparse Attention
por: Shah, Harsh
Publicado: (2025)

VoI-Driven Joint Optimization of Control and Communication in Vehicular Digital Twin Network
por: Lei, Lei, et al.
Publicado: (2025)

Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
por: Yu, Hanzhi, et al.
Publicado: (2026)

Equation-Free Digital Twins for Nonlinear Structural Dynamics
por: Abaei, Mohammad Mahdi, et al.
Publicado: (2026)

Communication-Control Codesign for Large-Scale Wireless Networked Control Systems
por: Pang, Gaoyang, et al.
Publicado: (2024)

First Contact: Data-driven Friction-Stir Process Control
por: Koch, James, et al.
Publicado: (2025)

Predictive Analysis for Optimizing Port Operations
por: Rao, Aniruddha Rajendra, et al.
Publicado: (2024)

A Tutorial on Gaussian Process Learning-based Model Predictive Control
por: Wang, Jie, et al.
Publicado: (2024)

Large Vision Model-Enhanced Digital Twin with Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless Networks
por: Tao, Zhenyu, et al.
Publicado: (2024)

A Digital Twin for Diesel Engines: Operator-infused Physics-Informed Neural Networks with Transfer Learning for Engine Health Monitoring
por: Nath, Kamaljyoti, et al.
Publicado: (2024)

Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks
por: Chen, Yi-Ping, et al.
Publicado: (2025)

Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
por: Internò, Christian, et al.
Publicado: (2025)

Wireless Human-Machine Collaboration in Industry 5.0
por: Pang, Gaoyang, et al.
Publicado: (2024)

Predicting Solar Heat Production to Optimize Renewable Energy Usage
por: Boura, Tatiana, et al.
Publicado: (2024)

Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
por: Isaku, Erblin, et al.
Publicado: (2025)

Physics-informed Gaussian Processes as Linear Model Predictive Controller
por: Tebbe, Jörn, et al.
Publicado: (2024)

Automatic dimensionality reduction of Twin-in-the-Loop Observers
por: Delcaro, Giacomo, et al.
Publicado: (2024)

Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
por: Tao, Zhenyu, et al.
Publicado: (2023)

Conformal Predictive Programming for Chance Constrained Optimization
por: Zhao, Yiqi, et al.
Publicado: (2024)

Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence
por: Pulick, Eric, et al.
Publicado: (2026)

Generative Model Predictive Control in Manufacturing Processes: A Review
por: Lee, Suk Ki, et al.
Publicado: (2025)

Predictive Lagrangian Optimization for Constrained Reinforcement Learning
por: Zhang, Tianqi, et al.
Publicado: (2025)

Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
por: Chafaa, Irched, et al.
Publicado: (2025)

Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin
por: Quamar, Md Muzakkir, et al.
Publicado: (2024)

Augmented Physics-Based Li-ion Battery Model via Adaptive Ensemble Sparse Learning and Conformal Prediction
por: da Silva, Samuel Filgueira, et al.
Publicado: (2025)