Image de couverture de livre

Global Location-Invariant Peak Storm Surge Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pachev, Benjamin, Arora, Prateek, Zhao, Jinpai, Valseth, Eirik
Format:	Preprint
Publié:	2026
Sujets:	Computational Engineering, Finance, and Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Storm Surge in Color: RGB-Encoded Physics-Aware Deep Learning for Storm Surge Forecasting
par: Zhao, Jinpai, et autres
Publié: (2025)

HyCOP: Hybrid Composition Operators for Interpretable Learning of PDEs
par: Zhao, Jinpai, et autres
Publié: (2026)

A Discontinuous Galerkin Finite Element Model for Compound Flood Simulations
par: Wichitrnithed, Chayanon, et autres
Publié: (2023)

Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses
par: Shen, Bolin, et autres
Publié: (2025)

InvariantStock: Learning Invariant Features for Mastering the Shifting Market
par: Cao, Haiyao, et autres
Publié: (2024)

Variational multiscale enrichment method for dynamic response of hyperelastic materials at finite deformation
par: Arora, Abhishek, et autres
Publié: (2025)

Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression
par: Markidis, Stefano, et autres
Publié: (2025)

$i$MIND: Insightful Multi-subject Invariant Neural Decoding
par: Yin, Zixiang, et autres
Publié: (2025)

Location-Based Service (LBS) Data Quality Metrics and Effects on Mobility Inference
par: Wu, Xinhua, et autres
Publié: (2024)

RoofNet: A Global Multimodal Dataset for Roof Material Identification from Earth Observation
par: Tarver, Benjamin, et autres
Publié: (2025)

A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
par: Van, Minh-Hao, et autres
Publié: (2025)

Customer Identification for Electricity Retailers Based on Monthly Demand Profiles by Activity Sectors and Locations
par: Luque, Joaquin, et autres
Publié: (2025)

CIDER: Counterfactual-Invariant Diffusion-based GNN Explainer for Causal Subgraph Inference
par: Zhang, Qibin, et autres
Publié: (2024)

Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity
par: Jadoon, Asghar A., et autres
Publié: (2025)

Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
par: Zhu, Zhuohang, et autres
Publié: (2025)

From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset
par: Arno, Henri, et autres
Publié: (2024)

Toward Black Scholes for Prediction Markets: A Unified Kernel and Market Maker's Handbook
par: Dalen, Shaw
Publié: (2025)

EXFormer: A Multi-Scale Trend-Aware Transformer with Dynamic Variable Selection for Foreign Exchange Returns Prediction
par: Liu, Dinggao, et autres
Publié: (2025)

Dissecting the Ledger: Locating and Suppressing "Liar Circuits" in Financial Large Language Models
par: Mirajkar, Soham
Publié: (2025)

Enriching Location Representation with Detailed Semantic Information
par: Liu, Junyuan, et autres
Publié: (2025)

Assessing AI-Enhanced Single-Sweep Approximations for Problems with Forward-Peaked Scattering in Slab Geometry
par: Patel, Japan K., et autres
Publié: (2024)

VDMN: A Graphical Notation for Modelling Value Driver Trees
par: Matthies, Benjamin
Publié: (2025)

Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
par: Du, Ye, et autres
Publié: (2025)

Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
par: Kim, Minwu, et autres
Publié: (2024)

Global Crop-Specific Fertilization Dataset from 1961-2019
par: Coello, Fernando, et autres
Publié: (2024)

Multi-level Bézier extraction of truncated hierarchical B-splines for isogeometric analysis
par: Grendas, Andreas, et autres
Publié: (2023)

Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling
par: Hua, Haowei, et autres
Publié: (2025)

Volumetric Non-Invasive Cardiac Mapping for Accessible Global Arrhythmia Characterization
par: Vicente-Puig, Jorge, et autres
Publié: (2025)

Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting
par: Zheng, Zinan, et autres
Publié: (2025)

Predicting the Temporal Dynamics of Prosthetic Vision
par: Hou, Yuchen, et autres
Publié: (2024)

Bridging Farm Economics and Landscape Ecology for Global Sustainability through Hierarchical and Bayesian Optimization
par: Dsouza, Kevin Bradley, et autres
Publié: (2025)

Predicting food taste with bound-driven optimization
par: Tagkopoulos, Pagkratis, et autres
Publié: (2026)

Equivariant Hypergraph Diffusion for Crystal Structure Prediction
par: Liu, Yang, et autres
Publié: (2025)

Synthesis of Service Life Prediction for Bridges in Texas
par: Gao, Lu, et autres
Publié: (2025)

International Trade Flow Prediction with Bilateral Trade Provisions
par: Pan, Zijie, et autres
Publié: (2024)

Benchmarking Large Language Models for Polymer Property Predictions
par: Gupta, Sonakshi, et autres
Publié: (2025)

Multimodal Fusion with Relational Learning for Molecular Property Prediction
par: Zhou, Zhengyang, et autres
Publié: (2024)

Protein Multimer Structure Prediction via Prompt Learning
par: Gao, Ziqi, et autres
Publié: (2024)

Comparing Different Transformer Model Structures for Stock Prediction
par: Chen, Qizhao
Publié: (2025)

Few-shot Molecular Property Prediction: A Survey
par: Wang, Zeyu, et autres
Publié: (2025)