Cover Image

Atlantes: A system of GPS transformers for global-scale real-time maritime intelligence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Herzog, Henry, Hansen, Joshua, Zhang, Yawen, Beukema, Patrick
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LIGHTHOUSE: Fast and precise distance to shoreline calculations from anywhere on earth
by: Beukema, Patrick, et al.
Published: (2025)

OlmoEarth v1.1: A more efficient family of OlmoEarth models
by: Tseng, Gabriel, et al.
Published: (2026)

High-Resolution Live Fuel Moisture Content (LFMC) Maps for Wildfire Risk from Multimodal Earth Observation Data
by: Johnson, Patrick Alan, et al.
Published: (2025)

Satellite Imagery and AI: A New Era in Ocean Conservation, from Research to Deployment and Impact (Version. 2.0)
by: Beukema, Patrick, et al.
Published: (2023)

A real-time battle situation intelligent awareness system based on Meta-learning & RNN
by: Li, Yuchun, et al.
Published: (2025)

OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
by: Herzog, Henry, et al.
Published: (2025)

Decomposition-based multi-scale transformer framework for time series anomaly detection
by: Zhang, Wenxin, et al.
Published: (2025)

Network scaling and scale-driven loss balancing for intelligent poroelastography
by: Xu, Yang, et al.
Published: (2024)

Falsification-driven reinforcement learning for maritime motion planning
by: Müller, Marlon, et al.
Published: (2025)

Explainable artificial intelligence (XAI) for scaling: An application for deducing hydrologic connectivity at watershed scale
by: Ye, Sheng, et al.
Published: (2025)

Detecting and explaining postpartum depression in real-time with generative artificial intelligence
by: García-Méndez, Silvia, et al.
Published: (2025)

Artificial intelligence for representing and characterizing quantum systems
by: Du, Yuxuan, et al.
Published: (2025)

A temporal scale transformer framework for precise remaining useful life prediction in fuel cells
by: Tang, Zezhi, et al.
Published: (2025)

Applications of Explainable artificial intelligence in Earth system science
by: Huang, Feini, et al.
Published: (2024)

Towards an end-to-end artificial intelligence driven global weather forecasting system
by: Chen, Kun, et al.
Published: (2023)

Symbolic Regression for Shared Expressions: Introducing Partial Parameter Sharing
by: Martinek, Viktor, et al.
Published: (2026)

Learning mechanical systems from real-world data using discrete forced Lagrangian dynamics
by: Hansen, Martine Dyring, et al.
Published: (2025)

Omics-scale polymer computational database transferable to real-world artificial intelligence applications
by: Yoshida, Ryo, et al.
Published: (2025)

CODE-II: A large-scale dataset for artificial intelligence in ECG analysis
by: Abreu, Petrus E. O. G. B., et al.
Published: (2025)

The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature
by: Li, Yuyan
Published: (2023)

Concept-based explainability for an EEG transformer model
by: Gjølbye, Anders, et al.
Published: (2023)

Data over dialogue: Why artificial intelligence is unlikely to humanise medicine
by: Hatherley, Joshua
Published: (2025)

MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic segmentation
by: Muhovič, Jon, et al.
Published: (2025)

Physics-informed offline reinforcement learning eliminates catastrophic fuel waste in maritime routing
by: Bora, Aniruddha, et al.
Published: (2026)

Concept-Aware Latent and Explicit Knowledge Integration for Enhanced Cognitive Diagnosis
by: Chen, Yawen, et al.
Published: (2025)

Outlier detection in maritime environments using AIS data and deep recurrent architectures
by: Maganaris, Constantine, et al.
Published: (2024)

Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening
by: Yang, Zhangfan, et al.
Published: (2024)

From high-frequency sensors to noon reports: Using transfer learning for shaft power prediction in maritime
by: Sharma, Akriti, et al.
Published: (2025)

GENIU: A Restricted Data Access Unlearning for Imbalanced Data
by: Zhang, Chenhao, et al.
Published: (2024)

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling
by: Ju, Wei, et al.
Published: (2024)

BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification
by: Zhang, Jingtao, et al.
Published: (2025)

Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems
by: Jiang, Long, et al.
Published: (2025)

Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Models
by: Zhang, Yuandong, et al.
Published: (2026)

Spatial and social situation-aware transformer-based trajectory prediction of autonomous systems
by: Donandt, Kathrin, et al.
Published: (2024)

Statistical benchmarking of transformer models in low signal-to-noise time-series forecasting
by: Garcia, Cyril, et al.
Published: (2026)

A multimodal and temporal foundation model for virtual patient representations at healthcare system scale
by: Zhang, Andrew, et al.
Published: (2026)

What Drives Length of Stay After Elective Spine Surgery? Insights from a Decade of Predictive Modeling
by: Cho, Ha Na, et al.
Published: (2026)

FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
by: Yang, Zhiqin, et al.
Published: (2025)

Pi-transformer: A prior-informed dual-attention model for multivariate time-series anomaly detection
by: Maleki, Sepehr, et al.
Published: (2025)

Hypergraphs on high dimensional time series sets using signature transform
by: Vaucher, Rémi, et al.
Published: (2025)