Copertina

A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ferrer-Cid, Pau, Barcelo-Ordinas, Jose M., Garcia-Vidal, Jorge
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Introducing AI-Driven IoT Energy Management Framework
di: Mruthyunjaya, Shivani, et al.
Pubblicazione: (2025)

DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
di: Shao, Yulin
Pubblicazione: (2024)

Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
di: Hu, Yi, et al.
Pubblicazione: (2023)

Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
di: Hasan, Md. Nisharul
Pubblicazione: (2025)

An IoT Framework for Building Energy Optimization Using Machine Learning-based MPC
di: Morteza, Aryan, et al.
Pubblicazione: (2024)

AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
di: Chen, Yuang, et al.
Pubblicazione: (2025)

Foundation Models for CPS-IoT: Opportunities and Challenges
di: Baris, Ozan, et al.
Pubblicazione: (2025)

Modeling IoT Traffic Patterns: Insights from a Statistical Analysis of an MTC Dataset
di: Ruiz-Guirola, David E., et al.
Pubblicazione: (2024)

Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems
di: Nikpour, Maryam, et al.
Pubblicazione: (2023)

Graph Neural Networks in Wind Power Forecasting
di: Castellano, Javier, et al.
Pubblicazione: (2025)

Prediction Model of Aqua Fisheries Using IoT Devices
di: Islam, Md. Monirul
Pubblicazione: (2025)

Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
di: Wu, Tong, et al.
Pubblicazione: (2022)

Adaptive Traffic Element-Based Streetlight Control Using Neighbor Discovery Algorithm Based on IoT Events
di: Tan, Yupeng, et al.
Pubblicazione: (2024)

Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
di: Pham, Thuan, et al.
Pubblicazione: (2024)

Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks
di: Li, Sirui, et al.
Pubblicazione: (2025)

Reduced Optimal Power Flow Using Graph Neural Network
di: Pham, Thuan, et al.
Pubblicazione: (2022)

Power Failure Cascade Prediction using Graph Neural Networks
di: Chadaga, Sathwik, et al.
Pubblicazione: (2024)

Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
di: Authier, Jules, et al.
Pubblicazione: (2023)

A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis
di: Wei, Hui, et al.
Pubblicazione: (2025)

From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities
di: Dias, Tiago, et al.
Pubblicazione: (2023)

Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks
di: Jacob, Roshni Anna, et al.
Pubblicazione: (2026)

PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
di: Suri, Dhruv, et al.
Pubblicazione: (2025)

Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers
di: Elele, Martin Joel Mouk, et al.
Pubblicazione: (2025)

From Big Data to Fast Data: Towards High-Quality Datasets for Machine Learning Applications from Closed-Loop Data Collection
di: Reis, Philipp, et al.
Pubblicazione: (2026)

Optimizing Age of Trust and Throughput in Multi-Hop UAV-Aided IoT Networks
di: Luo, Yizhou, et al.
Pubblicazione: (2025)

N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network
di: Pham, Thuan, et al.
Pubblicazione: (2024)

Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
di: Fang, Hao, et al.
Pubblicazione: (2025)

A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
di: Ren, Yutian, et al.
Pubblicazione: (2024)

Semi-Contention-Free Access in IoT NOMA Networks: A Reinforcement Learning Framework
di: Kumar, Abhishek, et al.
Pubblicazione: (2026)

Preventive Audits for Data Applications Before Data Sharing in the Power IoT
di: Wang, Bohong, et al.
Pubblicazione: (2024)

EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations
di: Sheth, Jaykumar, et al.
Pubblicazione: (2020)

Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
di: Pham, Thuan, et al.
Pubblicazione: (2024)

A Graph Neural Network with Auxiliary Task Learning for Missing PMU Data Reconstruction
di: Li, Bo, et al.
Pubblicazione: (2025)

PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
di: Lin, Nan, et al.
Pubblicazione: (2023)

Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems
di: Lan, Jianglin, et al.
Pubblicazione: (2024)

A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection
di: Wu, Yuandi, et al.
Pubblicazione: (2024)

IoT-based Cost-Effective Fruit Quality Monitoring System using Electronic Nose
di: Bhattacharjee, Anindya, et al.
Pubblicazione: (2025)

PowerGraph: A power grid benchmark dataset for graph neural networks
di: Varbella, Anna, et al.
Pubblicazione: (2024)

Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
di: Wang, Xuesong, et al.
Pubblicazione: (2024)

Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
di: Cao, John, et al.
Pubblicazione: (2025)