Cover Image

Extending Machine Learning Based RF Coverage Predictions to 3D

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Muyao, Châteauvert, Mathieu, Ethier, Jonathan
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Computer Vision and Pattern Recognition Information Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Environmental Feature Engineering and Statistical Validation for ML-Based Path Loss Prediction
by: Ethier, Jonathan, et al.
Published: (2025)

Transformer-Aided Semantic Communications
by: Mortaheb, Matin, et al.
Published: (2024)

Efficient Semantic Communication Through Transformer-Aided Compression
by: Mortaheb, Matin, et al.
Published: (2024)

Learning a distance measure from the information-estimation geometry of data
by: Ohayon, Guy, et al.
Published: (2025)

Signal Attenuation through Foliage Estimator (SAFE)
by: Châteauvert, Mathieu, et al.
Published: (2024)

An I2I Inpainting Approach for Efficient Channel Knowledge Map Construction
by: Jin, Zhenzhou, et al.
Published: (2024)

Sugarcane Health Monitoring With Satellite Spectroscopy and Machine Learning: A Review
by: Waters, Ethan Kane, et al.
Published: (2024)

Estimating Rural Path Loss with ITU-R P.1812-7 : Impact of Geospatial Inputs
by: Chateauvert, Mathieu, et al.
Published: (2025)

Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition
by: Weng, Yuxuan, et al.
Published: (2024)

Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning
by: Vo, Thien Nhan
Published: (2025)

Machine Learning Fairness for Depression Detection using EEG Data
by: Kwok, Angus Man Ho, et al.
Published: (2025)

Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats
by: Mullen, Aaron, et al.
Published: (2024)

Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data
by: Koffi, Tresor Y., et al.
Published: (2023)

Clutter Classification Using Deep Learning in Multiple Stages
by: Dempsey, Ryan, et al.
Published: (2024)

Generative Semantic Communication via Alternating Dual-Domain Posterior Sampling
by: Tang, Shunpu, et al.
Published: (2026)

Point Cloud Compression with Implicit Neural Representations: A Unified Framework
by: Ruan, Hongning, et al.
Published: (2024)

Vision Transformer-based Semantic Communications With Importance-Aware Quantization
by: Park, Joohyuk, et al.
Published: (2024)

Successive Interference Cancellation-aided Diffusion Models for Joint Channel Estimation and Data Detection in Low Rank Channel Scenarios
by: Bhattacharya, Sagnik, et al.
Published: (2025)

Alternating Minimization Schemes for Computing Rate-Distortion-Perception Functions with $f$-Divergence Perception Constraints
by: Serra, Giuseppe, et al.
Published: (2024)

Unlocking Off-the-Grid Sparse Recovery with Unlimited Sensing: Simultaneous Super-Resolution in Time and Amplitude
by: Guo, Ruiming, et al.
Published: (2025)

VIRUS-NeRF -- Vision, InfraRed and UltraSonic based Neural Radiance Fields
by: Schmid, Nicolaj, et al.
Published: (2024)

Deep Adversarial Learning with Activity-Based User Discrimination Task for Human Activity Recognition
by: Calatrava-Nicolás, Francisco M., et al.
Published: (2024)

Benchmarking Early Agitation Prediction in Community-Dwelling People with Dementia Using Multimodal Sensors and Machine Learning
by: Abedi, Ali, et al.
Published: (2025)

Machine Learning-Based Channel Prediction for RIS-assisted MIMO Systems With Channel Aging
by: Ginige, Nipuni, et al.
Published: (2024)

Machine Learning-Based Path Loss Modeling with Simplified Features
by: Ethier, Jonathan, et al.
Published: (2024)

Heteroscedastic Neural Networks for Path Loss Prediction with Link-Specific Uncertainty
by: Ethier, Jonathan
Published: (2025)

MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
by: Nguyen, Cuong V., et al.
Published: (2023)

Using gradient of Lagrangian function to compute efficient channels for the ideal observer
by: Zhou, Weimin
Published: (2025)

An Unsupervised Tensor-Based Domain Alignment
by: Lee, Chong Hyun, et al.
Published: (2026)

Discrete Cosine Transform Based Decorrelated Attention for Vision Transformers
by: Pan, Hongyi, et al.
Published: (2024)

Communicate Less, Synthesize the Rest: Latency-aware Intent-based Generative Semantic Multicasting with Diffusion Models
by: Liu, Xinkai, et al.
Published: (2024)

Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications
by: Qiao, Li, et al.
Published: (2025)

Latency-Aware Generative Semantic Communications with Pre-Trained Diffusion Models
by: Qiao, Li, et al.
Published: (2024)

Modulate Your Spectrum in Self-Supervised Learning
by: Weng, Xi, et al.
Published: (2023)

ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion
by: Lence, Alex, et al.
Published: (2024)

Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
by: Stevens, Tristan S. W., et al.
Published: (2022)

Optimal Projections for Discriminative Dictionary Learning using the JL-lemma
by: Madhuri, G., et al.
Published: (2023)

Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems
by: Gardezi, Syed Saim, et al.
Published: (2024)

Automatic Stack Velocity Picking Using an Unsupervised Ensemble Learning Method
by: Wang, H. T., et al.
Published: (2022)

Exploring Challenges in Deep Learning of Single-Station Ground Motion Records
by: Çağlar, Ümit Mert, et al.
Published: (2024)