Buchumschlag

AI-Driven Predictive Maintenance with Environmental Context Integration for Connected Vehicles: Simulation, Benchmarking, and Field Validation

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Khemani, Kushal, Qureshi, Anjum Nazir
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Machine Learning Artificial Intelligence Systems and Control
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and Cloud Models
von: Khemani, Kushal
Veröffentlicht: (2026)

Distributed Optimization via Energy Conservation Laws in Dilated Coordinates
von: Baranwal, Mayank, et al.
Veröffentlicht: (2024)

HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
von: Zhang, Ziyan, et al.
Veröffentlicht: (2026)

On Model Protection in Federated Learning against Eavesdropping Attacks
von: Maity, Dipankar, et al.
Veröffentlicht: (2025)

Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
von: Janzen, Felix Leonhard, et al.
Veröffentlicht: (2026)

Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction
von: Son, Tong Duy, et al.
Veröffentlicht: (2026)

Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
von: Yan, Zijiang, et al.
Veröffentlicht: (2026)

Integrating Physics-Based and Data-Driven Approaches for Probabilistic Building Energy Modeling
von: Von Krannichfeldt, Leandro, et al.
Veröffentlicht: (2025)

Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
von: da Silva, Caio Fabio Oliveira, et al.
Veröffentlicht: (2024)

Simulation-Based Validation of an Integrated 4D/5D Digital-Twin Framework for Predictive Construction Control
von: Khoshkonesh, Atena, et al.
Veröffentlicht: (2025)

Benchmarking Model Predictive Control Algorithms in Building Optimization Testing Framework (BOPTEST)
von: Mostafavi, Saman, et al.
Veröffentlicht: (2023)

Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning
von: Zheng, Bokeng, et al.
Veröffentlicht: (2025)

AI-Driven Real-Time Kick Classification in Olympic Taekwondo Using Sensor Fusion
von: Mistri, Jamsheed
Veröffentlicht: (2025)

Remaining Useful Life Prediction for Batteries Utilizing an Explainable AI Approach with a Predictive Application for Decision-Making
von: Paneru, Biplov, et al.
Veröffentlicht: (2024)

Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach
von: Fard, Amir, et al.
Veröffentlicht: (2025)

Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
von: Deng, Yang, et al.
Veröffentlicht: (2025)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
von: Zarrouki, Baha, et al.
Veröffentlicht: (2024)

LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
von: Naug, Avisek, et al.
Veröffentlicht: (2025)

Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles
von: Parameshwaran, Aditya, et al.
Veröffentlicht: (2025)

AI-Enhanced Spatial Cellular Traffic Demand Prediction with Contextual Clustering and Error Correction for 5G/6G Planning
von: Alkadamani, Mohamad, et al.
Veröffentlicht: (2026)

Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations
von: Zhang, Zongbao, et al.
Veröffentlicht: (2024)

Vehicle Dispatching and Routing of On-Demand Intercity Ride-Pooling Services: A Multi-Agent Hierarchical Reinforcement Learning Approach
von: Si, Jinhua, et al.
Veröffentlicht: (2023)

SustainDC: Benchmarking for Sustainable Data Center Control
von: Naug, Avisek, et al.
Veröffentlicht: (2024)

Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
von: Magnino, Lorenzo, et al.
Veröffentlicht: (2026)

Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman Process
von: Montesuma, Eduardo Fernandes, et al.
Veröffentlicht: (2023)

Chargax: A JAX Accelerated EV Charging Simulator
von: Ponse, Koen, et al.
Veröffentlicht: (2025)

Neural Control System for Continuous Glucose Monitoring and Maintenance
von: Wasi, Azmine Toushik
Veröffentlicht: (2024)

Generative Modeling and Data Augmentation for Power System Production Simulation
von: Xu, Linna, et al.
Veröffentlicht: (2024)

Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
von: Mukherjee, Sayak, et al.
Veröffentlicht: (2023)

Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
von: Dave, Akshay J., et al.
Veröffentlicht: (2024)

Mining--Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling
von: Banerjee, Chayan, et al.
Veröffentlicht: (2025)

Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space
von: Golchoubian, Mahsa, et al.
Veröffentlicht: (2024)

On Dimension-Free Transformer: An Application of STP to AI
von: Cheng, Daizhan
Veröffentlicht: (2025)

WARP: A Benchmark for Primal-Dual Warm-Starting of Interior-Point Solvers
von: Suri, Dhruv, et al.
Veröffentlicht: (2026)

Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE
von: Lamarque, Maxence, et al.
Veröffentlicht: (2024)

Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
von: Bekal, Gautham Udayakumar, et al.
Veröffentlicht: (2025)

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
von: Zhang, Ruining, et al.
Veröffentlicht: (2023)

A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration
von: Naug, Avisek, et al.
Veröffentlicht: (2024)

Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learning
von: Mohammadi, Esmaeel, et al.
Veröffentlicht: (2024)

Time-Aware World Model for Adaptive Prediction and Control
von: Nhu, Anh N., et al.
Veröffentlicht: (2025)