Cover Image

On the Residual-based Neural Network for Unmodeled Distortions in Coordinate Transformation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rofatto, Vinicius Francisco, de Almeida, Luiz Felipe Rodrigues, Matsuoka, Marcelo Tomio, Klein, Ivandro, Veronez, Mauricio Roberto, Junior, Luiz Gonzaga Da Silveira
Format:	Preprint
Published:	2025
Subjects:	Geophysics Computer Vision and Pattern Recognition Machine Learning Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SeqCup-Free: Sequential and Combinatorial Geometry-Free Identification of Unstable Points for Geodetic Deformation Monitoring
by: Rofatto, Vinicius, et al.
Published: (2025)

Residual Kriging for Regional-Scale Canopy Height Mapping: Insights into GEDI-Induced Anisotropies and Sparse Sampling
by: Lahssini, Kamel, et al.
Published: (2025)

Bayesian weighted time-lapse full-waveform inversion using a receiver-extension strategy
by: da Silva, Sergio Luiz E. F., et al.
Published: (2024)

Efficacy of Temporal Fusion Transformers for Runoff Simulation
by: Koya, Sinan Rasiya, et al.
Published: (2025)

Extending the Joint Probability Method to Compound Flooding: Statistical Delineation of Transition Zones and Design Event Selection
by: Bartlett, Mark S., et al.
Published: (2025)

Smooth surface reconstruction of earthquake faults from distributed moment-potency-tensor solutions
by: Sato, Dye SK, et al.
Published: (2025)

Scalable Gaussian Process for Learning Non-Ergodic Ground Motion Model from Physics-Based Simulations with Application to Power Infrastructure Assessment
by: Zhao, Jinyan, et al.
Published: (2026)

Non-parametric kernel density estimation of magnitude distribution for the analysis of seismic hazard posed by anthropogenic seismicity
by: Tong, Francis, et al.
Published: (2025)

Uncertainty quantification for seismic response using dimensionality reduction-based stochastic simulator
by: Kim, Jungho, et al.
Published: (2024)

Stochastic ecohydrological perspective on semi-distributed rainfall-runoff dynamics
by: Bartlett, Mark S., et al.
Published: (2025)

Recorded Versus Synthetic Spectral-compatible Ground Motions: A Comparative Analysis of Structural Seismic Responses
by: Kim, Jungho, et al.
Published: (2025)

The EEPAS Model Revisited: Statistical Formalism and a High-Performance, Reproducible Open-Source Framework
by: Chung, Szu-Chi, et al.
Published: (2025)

Tidal Triggering of Magnitude 7+ Earthquakes by Jupiter
by: Holt, E. W., et al.
Published: (2025)

Risk-based framework to determine climate-informed design storms for road drainage infrastructure
by: Fereshtehpour, Mohammad, et al.
Published: (2025)

Quest for an efficient mathematical and computational method to explore optimal extreme weather modification
by: Sawada, Yohei
Published: (2024)

Entropy-based feature selection for capturing impacts in Earth system models with extreme forcing
by: Watkins, Jerry, et al.
Published: (2024)

Nationwide frequency-dependent seismic site amplification models for Iceland
by: Darzi, Atefe, et al.
Published: (2024)

Extrapolation from historical data cannot reliably predict the time of a potential AMOC collapse
by: Morr, Andreas, et al.
Published: (2026)

Diffusional earthquakes and their slip-distance scaling
by: Sato, Dye SK, et al.
Published: (2026)

Modelling Evolutionary Power Spectral Density Functions of Strong Earthquakes Via Copulas
by: Isaías, Bañales, et al.
Published: (2024)

Leveraging generative adversarial networks with spatially adaptive denormalization for multivariate stochastic seismic data inversion
by: Miele, Roberto, et al.
Published: (2025)

EarthquakeNPP: A Benchmark for Earthquake Forecasting with Neural Point Processes
by: Stockman, Samuel, et al.
Published: (2024)

Heuristic Quality Coefficients for Interferometric Phase Linking
by: Heimpel, Magnus, et al.
Published: (2025)

At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
by: Dahal, Ashok, et al.
Published: (2024)

Multispectral representation of Distributed Acoustic Sensing data: a framework for physically interpretable feature extraction and visualization
by: Morell-Monzó, Sergio, et al.
Published: (2026)

Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design
by: Callahan, Jake, et al.
Published: (2024)

Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept
by: Scivier, Sam A., et al.
Published: (2024)

The use of spectral indices in environmental monitoring of smouldering coal-waste dumps
by: Abramowicz, Anna, et al.
Published: (2026)

Constructing balanced datasets for predicting failure modes in structural systems under seismic hazards
by: Kim, Jungho, et al.
Published: (2025)

Facies Classification with Copula Entropy
by: Ma, Jian
Published: (2025)

Bayesian Event Categorization Matrix Approach for Explosion Monitoring
by: Koermer, Scott, et al.
Published: (2024)

Model Training, Data Assimilation, and Forecast Experiments with a Hybrid Atmospheric Model that Incorporates Machine Learning
by: Elliott, Dylan, et al.
Published: (2025)

A graph-space optimal transport FWI approach based on κ-generalized Gaussian distribution
by: da Silva, Sérgio Luiz E. F., et al.
Published: (2024)

Strategic Geosteering Workflow with Uncertainty Quantification and Deep Learning: A Case Study on the Goliat Field
by: Rammay, Muzammil Hussain, et al.
Published: (2022)

Diffusion models for multivariate subsurface generation and efficient probabilistic inversion
by: Miele, Roberto, et al.
Published: (2025)

Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings
by: Wang, Hanjing, et al.
Published: (2026)

DISTINGUISH Workflow: A New Paradigm of Dynamic Well Placement Using Generative Machine Learning
by: Alyaev, Sergey, et al.
Published: (2025)

Bayesian optimization for re-analysis and calibration of extreme sea state events simulated with a spectral third-generation wave model
by: Goeury, Cédric, et al.
Published: (2026)

A New Method for High-Resolution Dating of Radiocarbon Data: The Example of the First Three Centuries B.C
by: Fürst, Sebastian
Published: (2025)

Embracing Uncertainty in "Small Data" Problems: Estimating Earthquakes from Historical Anecdotes
by: Glatt-Holtz, Nathan E., et al.
Published: (2021)