Image de couverture de livre

Deep Learning Prediction of Beam Coherence Time for Near-FieldTeraHertz Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chafaa, Irched, Belmega, E. Veronica, Bacci, Giacomo
Format:	Preprint
Publié:	2025
Sujets:	Systems and Control Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
par: Chafaa, Irched, et autres
Publié: (2025)

Tree Meets Transformer: A Hybrid Architecture for Scalable Power Allocation in Cell-Free Networks
par: Chafaa, Irched, et autres
Publié: (2025)

Transformer-Based Power Optimization for Max-Min Fairness in Cell-Free Massive MIMO
par: Chafaa, Irched, et autres
Publié: (2025)

State Derivative Normalization for Continuous-Time Deep Neural Networks
par: Weigand, Jonas, et autres
Publié: (2024)

A Game-Theoretic Approach for PMU Deployment Against False Data Injection Attacks
par: Maleki, Sajjad, et autres
Publié: (2024)

Tera-SpaceCom: GNN-based Deep Reinforcement Learning for Joint Resource Allocation and Task Offloading in TeraHertz Band Space Networks
par: Hu, Zhifeng, et autres
Publié: (2024)

Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More
par: Schaeffer, Joachim, et autres
Publié: (2024)

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
par: Shin, Sungho, et autres
Publié: (2022)

NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks
par: Rajagede, Rian Adam, et autres
Publié: (2025)

Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
par: Mulayim, Ozan Baris, et autres
Publié: (2025)

Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation
par: Gordon, David C., et autres
Publié: (2023)

Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network
par: Sun, Peiyuan, et autres
Publié: (2022)

Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation
par: Azimian, Behrouz, et autres
Publié: (2023)

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

Learning and Current Prediction of PMSM Drive via Differential Neural Networks
par: Mei, Wenjie, et autres
Publié: (2024)

PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems
par: Menati, Ali, et autres
Publié: (2024)

Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates
par: Maity, Sreejeet, et autres
Publié: (2025)

System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach
par: Hart, Rebecca G., et autres
Publié: (2025)

Improved Robustness of Deep Reinforcement Learning for Control of Time-Varying Systems by Bounded Extremum Seeking
par: Saxena, Shaifalee, et autres
Publié: (2025)

Safe and Near-Optimal Control with Online Dynamics Learning
par: Prajapat, Manish, et autres
Publié: (2025)

Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets
par: Li, Jinhao, et autres
Publié: (2024)

Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems
par: Ikemoto, Junya, et autres
Publié: (2026)

Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
par: Wang, Xuesong, et autres
Publié: (2024)

Inverse Reinforcement Learning for Minimum-Exposure Paths in Spatiotemporally Varying Scalar Fields
par: Ballentine, Alexandra E., et autres
Publié: (2025)

Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control
par: Hirt, Sebastian, et autres
Publié: (2024)

The Impact of Load Altering Attacks on Distribution Systems with ZIP Loads
par: Maleki, Sajjad, et autres
Publié: (2023)

Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
par: Mukherjee, Sayak, et autres
Publié: (2022)

Physics-Informed Deep B-Spline Networks
par: Wang, Zhuoyuan, et autres
Publié: (2025)

Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold
par: Origer, Sebastien, et autres
Publié: (2024)

Deep Reinforcement Learning for Time-Critical Wilderness Search And Rescue Using Drones
par: Ewers, Jan-Hendrik, et autres
Publié: (2024)

Improved Scalable Lipschitz Bounds for Deep Neural Networks
par: Syed, Usman, et autres
Publié: (2025)

High-Dimensional Surrogate Modeling for Closed-Loop Learning of Neural-Network-Parameterized Model Predictive Control
par: Hirt, Sebastian, et autres
Publié: (2025)

Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
par: Wu, Zida, et autres
Publié: (2025)

ReLU Networks for Model Predictive Control: Network Complexity and Performance Guarantees
par: Li, Xingchen, et autres
Publié: (2026)

Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment
par: Chen, Ruiqi, et autres
Publié: (2025)

Learning Deep Dissipative Dynamics
par: Okamoto, Yuji, et autres
Publié: (2024)

Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
par: Saviolo, Alessandro, et autres
Publié: (2022)

T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics
par: Shen, Zeyu, et autres
Publié: (2026)

DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
par: Wang, Xuefeng, et autres
Publié: (2024)

Learning Wireless Interference Patterns: Decoupled GNN for Throughput Prediction in Heterogeneous Multi-Hop p-CSMA Networks
par: Tarzjani, Faezeh Dehghan, et autres
Publié: (2025)