Cover Image

Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Chunlei, Pregesbauer, Michael, Chilukuri, Naga Sravani, Windhager, Daniel, Yousefi, Mahsa, Julian, Pedro, Ratschbacher, Lothar
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding
by: Windhager, Daniel, et al.
Published: (2025)

Lightweight LIF-only SNN accelerator using differential time encoding
by: Windhager, Daniel, et al.
Published: (2025)

Appointment scheduling model in healthcare using clustering algorithms
by: Yousefi, Niloofar, et al.
Published: (2019)

Linearized Bregman Iterations for Sparse Spiking Neural Networks
by: Windhager, Daniel, et al.
Published: (2026)

Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms
by: Yousefi, Mohammad Reza, et al.
Published: (2025)

Adaptive Resource Management in Cognitive Radar via Deep Deterministic Policy Gradient
by: Lu, Ziyang, et al.
Published: (2025)

Interpretable machine learning for cardiogram-based biometrics
by: Tanasković, Ilija, et al.
Published: (2025)

Improved GPR-Based CSI Acquisition via Spatial-Correlation Kernel
by: Shah, Syed Luqman, et al.
Published: (2026)

Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges
by: Stiehl, Annika, et al.
Published: (2025)

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)

Efficient machine learning for motion sensing for lighting applications
by: Pijlman, Fetze
Published: (2024)

Observation Modeling of Reference--Background Residuals in Single-Snapshot FDA-MIMO-GPR
by: Yan, Yisu, et al.
Published: (2026)

Adaptive Learned Belief Propagation for Decoding Error-Correcting Codes
by: Tasdighi, Alireza, et al.
Published: (2025)

Linking Dispersive-Medium Uncertainty to Clutter Analysis in Single-Snapshot FDA-MIMO-GPR
by: Yan, Yisu, et al.
Published: (2026)

Forged Channel: A Breakthrough Approach for Accurate Parkinson's Disease Classification using Leave-One-Subject-Out Cross-Validation
by: Hamidi, A., et al.
Published: (2023)

Multi-beam Training for Near-field Communications in High-frequency Bands
by: Zhou, Cong, et al.
Published: (2024)

Planar near-field antenna measurements with a uniform step larger than half-wavelength
by: Moretta, Raffaele, et al.
Published: (2024)

Weak-Fluctuation-Induced Clutter Covariance and Subspace Structure in Single-Snapshot FDA-MIMO GPR
by: Yan, Yisu, et al.
Published: (2026)

Operational machine learning for park-scale irrigation to support urban cooling
by: Koçyiğit, Mesut, et al.
Published: (2025)

Depression diagnosis from patient interviews using multimodal machine learning
by: Weber, Jana, et al.
Published: (2025)

Shape-Aware Topological Representation for Pipeline Hyperbola Detection in GPR Data
by: Kang, Meiyan, et al.
Published: (2025)

A Novel Geometry-Aware GPR-Based Energy-Efficient and Low-Overhead Channel Estimation Scheme
by: Shah, Syed Luqman, et al.
Published: (2025)

Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management
by: Lu, Ziyang, et al.
Published: (2025)

Damage identification for bridges using machine learning: Development and application to KW51 bridge
by: Qiu, Yuqing, et al.
Published: (2024)

Medium-Induced Cross-Frequency Clutter Structure in Single-Snapshot FDA-MIMO-GPR With a Weak-Dispersion Criterion
by: Yan, Yisu, et al.
Published: (2026)

A machine-learning optimized vertical-axis wind turbine
by: Liu, Huan, et al.
Published: (2025)

A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification
by: Larsen, Kristoffer, et al.
Published: (2023)

Tackling Delayed CSI in a Distributed Multi-Satellite MIMO Communication System
by: Omid, Yasaman, et al.
Published: (2024)

FAS-LLM: Large Language Model-Based Channel Prediction for OTFS-Enabled Satellite-FAS Links
by: Yang, Halvin, et al.
Published: (2025)

Classifying active and inactive states of growing rabbits from accelerometer data using machine learning algorithms
by: Mora, Mónica, et al.
Published: (2024)

Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025)

A procedure for assessing of machine health index data prediction quality
by: Kuzio, Daniel, et al.
Published: (2025)

Perfect matching of reactive loads through complex frequencies: from circuital analysis to experiments
by: Marini, Angelica V., et al.
Published: (2025)

Dictionary Attack on IMU-based Gait Authentication
by: Kumar, Rajesh, et al.
Published: (2023)

Filtering through a topological lens: homology for point processes on the time-frequency plane
by: Miramont, Juan Manuel, et al.
Published: (2025)

A Migration-Assisted Deep Learning Scheme for Imaging Defects Inside Cylindrical Structures via GPR: A Case Study for Tree Trunks
by: Qian, Jiwei, et al.
Published: (2026)

QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification
by: Golnari, Amin, et al.
Published: (2025)

Bayesian quantum sensing using graybox machine learning
by: Youssry, Akram, et al.
Published: (2026)

LLM-Enhanced Space-Air-Ground-Sea Integrated Networks
by: Yang, Halvin, et al.
Published: (2025)

Performance Analysis of Fluid Antenna System Aided OTFS Satellite Communications
by: Yang, Halvin, et al.
Published: (2025)