:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Letizia, Nunzio A.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Signal Processing
Acceso en línea:	https://arxiv.org/abs/2502.04895
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Copula Density Neural Estimation
por: Letizia, Nunzio A., et al.
Publicado: (2022)

Mutual Information Estimation via $f$-Divergence and Data Derangements
por: Letizia, Nunzio A., et al.
Publicado: (2023)

Deep-Learning Channel Estimation for IRS-Assisted Integrated Sensing and Communication System
por: Liu, Yu, et al.
Publicado: (2024)

Learning The Likelihood Test With One-Class Classifiers for Physical Layer Authentication
por: Ardizzon, Francesco, et al.
Publicado: (2022)

Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging
por: Lin, Youzuo, et al.
Publicado: (2024)

Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
por: Owfi, Ali, et al.
Publicado: (2025)

Integrating Pre-Trained Language Model with Physical Layer Communications
por: Lee, Ju-Hyung, et al.
Publicado: (2024)

Learning to Gridize: Segment Physical World by Wireless Communication Channel
por: Wang, Juntao, et al.
Publicado: (2025)

Modeling of Core Loss Based on Machine Learning and Deep Learning
por: He, Junqi, et al.
Publicado: (2025)

Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
por: Lang, Natalie, et al.
Publicado: (2024)

The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation
por: Xie, Jianxin, et al.
Publicado: (2024)

Data-driven Nonlinear Modal Analysis with Physics-constrained Deep Learning: Numerical and Experimental Study
por: Rostamijavanani, Abdolvahhab, et al.
Publicado: (2025)

Physics-Informed Operator Learning for Hemodynamic Modeling
por: Chappell, Ryan, et al.
Publicado: (2025)

Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning
por: Li, Muyun, et al.
Publicado: (2025)

Adaptive LPD Radar Waveform Design with Generative Deep Learning
por: Ziemann, Matthew R., et al.
Publicado: (2024)

Deep Learning Modeling Method for RF Devices Based on Uniform Noise Training Set
por: Hu, Zhaokun, et al.
Publicado: (2024)

A Deep Learning Model for Battery State Prediction towards Intelligent Energy Management
por: Koukosias, Athanasios, et al.
Publicado: (2026)

Deep Learning Based Sphere Decoding
por: Mohammadkarimi, Mostafa, et al.
Publicado: (2018)

Deep-Learning-Based Channel Estimation for IRS-Assisted ISAC System
por: Liu, Yu, et al.
Publicado: (2024)

Ultra-Reliable Risk-Aggregated Sum Rate Maximization via Model-Aided Deep Learning
por: Hashmi, Hassaan, et al.
Publicado: (2025)

A Low-Complexity Plug-and-Play Deep Learning Model for Generalizable Massive MIMO Precoding
por: Karkan, Ali Hasanzadeh, et al.
Publicado: (2026)

Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
por: Sharma, Shivam, et al.
Publicado: (2023)

Federated Contrastive Learning for Personalized Semantic Communication
por: Wang, Yining, et al.
Publicado: (2024)

EEG Emotion Recognition Through Deep Learning
por: Dolgopolyi, Roman, et al.
Publicado: (2025)

Data Normalization Strategies for EEG Deep Learning
por: Truong, Dung, et al.
Publicado: (2025)

A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites
por: Karkan, Ali Hasanzadeh, et al.
Publicado: (2025)

Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach
por: Izadinasab, Kazem, et al.
Publicado: (2024)

Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey
por: Bulut, Mehmet
Publicado: (2021)

Diffraction and Scattering Aware Radio Map and Environment Reconstruction using Geometry Model-Assisted Deep Learning
por: Chen, Wangqian, et al.
Publicado: (2024)

DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
por: Inan, Muhammad Sakib Khan, et al.
Publicado: (2024)

Rate-Constrained Quantization for Communication-Efficient Federated Learning
por: Hamidi, Shayan Mohajer, et al.
Publicado: (2024)

GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication
por: Nugroho, Vendi Ardianto, et al.
Publicado: (2025)

Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning
por: Comminiello, Danilo, et al.
Publicado: (2024)

What Physics do Data-Driven MoCap-to-Radar Models Learn?
por: Chen, Kevin, et al.
Publicado: (2026)

RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG
por: Ben-Moshe, Noam, et al.
Publicado: (2023)

Physics Sensor Based Deep Learning Fall Detection System
por: Qu, Zeyuan, et al.
Publicado: (2024)

Deep Learning Characterizes Depression and Suicidal Ideation from Eye Movements
por: Avramidis, Kleanthis, et al.
Publicado: (2025)

Latency-aware Human-in-the-Loop Reinforcement Learning for Semantic Communications
por: Li, Peizheng, et al.
Publicado: (2026)

A Floating Normalization Scheme for Deep Learning-Based Custom-Range Parameter Extraction in BSIM-CMG Compact Models
por: Ashai, Aasim, et al.
Publicado: (2025)

Decoding Motor Behavior Using Deep Learning and Reservoir Computing
por: Lan, Tian
Publicado: (2025)