:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yin, Yanlei, Wang, Lihua, Hoang, Dinh Thai, Wang, Wenbo, Niyato, Dusit
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2405.11895
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Variational Digital Twins
by: Burnett, Logan A., et al.
Published: (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

SpecAttn: Speculating Sparse Attention
by: Shah, Harsh
Published: (2025)

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

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

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

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

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

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

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

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

Federated Digital Twin Construction via Distributed Sensing: A Game-Theoretic Online Optimization with Overlapping Coalitions
by: Chen, Ruoyang, et al.
Published: (2025)

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

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

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

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

Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching
by: Niknia, Farnaz, et al.
Published: (2024)

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

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

Task-Specific Trust Evaluation for Multi-Hop Collaborator Selection via GNN-Aided Distributed Agentic AI
by: Zhu, Botao, et al.
Published: (2025)

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

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