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20192026
most citedA LightGBM based Forecasting of Dominant Wave Periods in Oceanic Waters

2 citations · 10 across the 17 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.LG2026

Knowledge-Graph-Augmented Chronos-2 for HEC-RAS Surrogate Forecasting

Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi

We investigate whether coupling a time-series foundation model to hydraulic project knowledge improves surrogate forecasting of HEC-RAS water-surface elevation (WSE). We present KG…

cs.AI2026

DU-NO: A Parameter-Efficient Double U-Shaped Neural Operator for Phase-Resolving Wave Modeling

Enrique Hernandez Noguera, Md Meftahul Ferdaus, Nathan Cooper +2

Phase-resolving wave models such as FUNWAVE-TVD are the accuracy standard for nearshore dynamics, resolving the shoaling, refraction, and breaking of individual waves, but their co…

cs.RO2026

A Browser-Native Digital Test Range for Benchmarking 4D Ocean-Glider Planning Algorithms

Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi

Repeated in-situ evaluation of ocean-glider planners requires scarce vehicles, operators, deployment and recovery resources, and ocean conditions that cannot be reset for competing…

cs.LG2026

Learned Response-Field Inertia Operator for HEC-RAS 2D Water-Surface Elevation Prediction

Edward Holmberg, Elias Ioup, Md Meftahul Ferdaus +2

This article presents a cross-dataset evaluation of learned native-cell surrogate models for solver-consistent water-surface elevation (WSE) prediction in HEC-RAS 2D. To avoid rast…

cs.LG2026

Bridging Spectral Operator Learning and U-Net Hierarchies: SpectraNet for Stable Autoregressive PDE Surrogates

Enrique Hernández Noguera, Md Meftahul Ferdaus, Elias Ioup +2

Neural operators for time-dependent PDEs face a structural tension: spectral architectures (FNO and descendants) inherit exponential rollout-error growth from their one-step Lipsch…

cs.CV2026

DeltaSeg: Tiered Attention and Deep Delta Learning for Multi-Class Structural Defect Segmentation

Enrique Hernandez Noguera, Md Meftahul Ferdaus, Elias Ioup +1

Automated segmentation of structural defects from visual inspection imagery remains challenging due to the diversity of damage types, extreme class imbalance, and the need for prec…

cs.CV2026

VeloxNet: Efficient Spatial Gating for Lightweight Embedded Image Classification

Md Meftahul Ferdaus, Elias Ioup, Mahdi Abdelguerfi +4

Deploying deep learning models on embedded devices for tasks such as aerial disaster monitoring and infrastructure inspection requires architectures that balance accuracy with stri…