Saved in:
| Main Authors: | Ferrer-Cid, Pau, Barcelo-Ordinas, Jose M., Garcia-Vidal, Jorge |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.21006 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Introducing AI-Driven IoT Energy Management Framework
by: Mruthyunjaya, Shivani, et al.
Published: (2025)
by: Mruthyunjaya, Shivani, et al.
Published: (2025)
DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
by: Shao, Yulin
Published: (2024)
by: Shao, Yulin
Published: (2024)
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
by: Hu, Yi, et al.
Published: (2023)
by: Hu, Yi, et al.
Published: (2023)
Foundation Models for CPS-IoT: Opportunities and Challenges
by: Baris, Ozan, et al.
Published: (2025)
by: Baris, Ozan, et al.
Published: (2025)
Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
by: Hasan, Md. Nisharul
Published: (2025)
by: Hasan, Md. Nisharul
Published: (2025)
An IoT Framework for Building Energy Optimization Using Machine Learning-based MPC
by: Morteza, Aryan, et al.
Published: (2024)
by: Morteza, Aryan, et al.
Published: (2024)
Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems
by: Nikpour, Maryam, et al.
Published: (2023)
by: Nikpour, Maryam, et al.
Published: (2023)
AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
by: Chen, Yuang, et al.
Published: (2025)
by: Chen, Yuang, et al.
Published: (2025)
Prediction Model of Aqua Fisheries Using IoT Devices
by: Islam, Md. Monirul
Published: (2025)
by: Islam, Md. Monirul
Published: (2025)
Modeling IoT Traffic Patterns: Insights from a Statistical Analysis of an MTC Dataset
by: Ruiz-Guirola, David E., et al.
Published: (2024)
by: Ruiz-Guirola, David E., et al.
Published: (2024)
Graph Neural Networks in Wind Power Forecasting
by: Castellano, Javier, et al.
Published: (2025)
by: Castellano, Javier, et al.
Published: (2025)
Adaptive Traffic Element-Based Streetlight Control Using Neighbor Discovery Algorithm Based on IoT Events
by: Tan, Yupeng, et al.
Published: (2024)
by: Tan, Yupeng, et al.
Published: (2024)
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
by: Wu, Tong, et al.
Published: (2022)
by: Wu, Tong, et al.
Published: (2022)
From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities
by: Dias, Tiago, et al.
Published: (2023)
by: Dias, Tiago, et al.
Published: (2023)
Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
by: Pham, Thuan, et al.
Published: (2024)
by: Pham, Thuan, et al.
Published: (2024)
A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis
by: Wei, Hui, et al.
Published: (2025)
by: Wei, Hui, et al.
Published: (2025)
Optimal Sensor Placement in Power Transformers Using Physics-Informed Neural Networks
by: Li, Sirui, et al.
Published: (2025)
by: Li, Sirui, et al.
Published: (2025)
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
by: Authier, Jules, et al.
Published: (2023)
by: Authier, Jules, et al.
Published: (2023)
Reduced Optimal Power Flow Using Graph Neural Network
by: Pham, Thuan, et al.
Published: (2022)
by: Pham, Thuan, et al.
Published: (2022)
Power Failure Cascade Prediction using Graph Neural Networks
by: Chadaga, Sathwik, et al.
Published: (2024)
by: Chadaga, Sathwik, et al.
Published: (2024)
Semi-Contention-Free Access in IoT NOMA Networks: A Reinforcement Learning Framework
by: Kumar, Abhishek, et al.
Published: (2026)
by: Kumar, Abhishek, et al.
Published: (2026)
Optimizing Age of Trust and Throughput in Multi-Hop UAV-Aided IoT Networks
by: Luo, Yizhou, et al.
Published: (2025)
by: Luo, Yizhou, et al.
Published: (2025)
Enhancing Field-Oriented Control of Electric Drives with Tiny Neural Network Optimized for Micro-controllers
by: Elele, Martin Joel Mouk, et al.
Published: (2025)
by: Elele, Martin Joel Mouk, et al.
Published: (2025)
Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks
by: Jacob, Roshni Anna, et al.
Published: (2026)
by: Jacob, Roshni Anna, et al.
Published: (2026)
PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids
by: Suri, Dhruv, et al.
Published: (2025)
by: Suri, Dhruv, et al.
Published: (2025)
EAPS: Edge-Assisted Predictive Sleep Scheduling for 802.11 IoT Stations
by: Sheth, Jaykumar, et al.
Published: (2020)
by: Sheth, Jaykumar, et al.
Published: (2020)
A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
by: Ren, Yutian, et al.
Published: (2024)
by: Ren, Yutian, et al.
Published: (2024)
From Big Data to Fast Data: Towards High-Quality Datasets for Machine Learning Applications from Closed-Loop Data Collection
by: Reis, Philipp, et al.
Published: (2026)
by: Reis, Philipp, et al.
Published: (2026)
Preventive Audits for Data Applications Before Data Sharing in the Power IoT
by: Wang, Bohong, et al.
Published: (2024)
by: Wang, Bohong, et al.
Published: (2024)
N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network
by: Pham, Thuan, et al.
Published: (2024)
by: Pham, Thuan, et al.
Published: (2024)
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
by: Fang, Hao, et al.
Published: (2025)
by: Fang, Hao, et al.
Published: (2025)
The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments
by: Xu, Jingyu, et al.
Published: (2024)
by: Xu, Jingyu, et al.
Published: (2024)
Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
by: Pham, Thuan, et al.
Published: (2024)
by: Pham, Thuan, et al.
Published: (2024)
PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
by: Lin, Nan, et al.
Published: (2023)
by: Lin, Nan, et al.
Published: (2023)
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection
by: Wu, Yuandi, et al.
Published: (2024)
by: Wu, Yuandi, et al.
Published: (2024)
A Graph Neural Network with Auxiliary Task Learning for Missing PMU Data Reconstruction
by: Li, Bo, et al.
Published: (2025)
by: Li, Bo, et al.
Published: (2025)
Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems
by: Lan, Jianglin, et al.
Published: (2024)
by: Lan, Jianglin, et al.
Published: (2024)
PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
by: Ezeakunne, Chidozie, et al.
Published: (2026)
by: Ezeakunne, Chidozie, et al.
Published: (2026)
Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
by: Cao, John, et al.
Published: (2025)
by: Cao, John, et al.
Published: (2025)
PowerGraph: A power grid benchmark dataset for graph neural networks
by: Varbella, Anna, et al.
Published: (2024)
by: Varbella, Anna, et al.
Published: (2024)
Similar Items
-
Introducing AI-Driven IoT Energy Management Framework
by: Mruthyunjaya, Shivani, et al.
Published: (2025) -
DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things
by: Shao, Yulin
Published: (2024) -
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
by: Hu, Yi, et al.
Published: (2023) -
Foundation Models for CPS-IoT: Opportunities and Challenges
by: Baris, Ozan, et al.
Published: (2025) -
Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
by: Hasan, Md. Nisharul
Published: (2025)