FuelCast: Benchmarking Tabular and Temporal Models for Ship Fuel Consumption
Fuente:
arXiv
Saved in:
| Main Authors: | Viga, Justus, Mueck, Penelope, Löser, Alexander, Weis, Torben |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
by: Janzen, Felix Leonhard, et al.
Published: (2026)
by: Janzen, Felix Leonhard, et al.
Published: (2026)
Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain
by: Jaleel, Wafeeq, et al.
Published: (2025)
by: Jaleel, Wafeeq, et al.
Published: (2025)
Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach
by: Mohammed, Hamza Haruna, et al.
Published: (2026)
by: Mohammed, Hamza Haruna, et al.
Published: (2026)
On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models
by: Jarry, Gabriel, et al.
Published: (2024)
by: Jarry, Gabriel, et al.
Published: (2024)
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
by: Westerhoff, Justus, et al.
Published: (2025)
by: Westerhoff, Justus, et al.
Published: (2025)
Estimation and Optimization of Ship Fuel Consumption in Maritime: Review, Challenges and Future Directions
by: Marijan, Dusica, et al.
Published: (2026)
by: Marijan, Dusica, et al.
Published: (2026)
Fuel Efficiency Analysis of the Public Transportation System Based on the Gaussian Mixture Model Clustering
by: Ma, Zhipeng, et al.
Published: (2025)
by: Ma, Zhipeng, et al.
Published: (2025)
Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel
by: Maddi, Aadyaa, et al.
Published: (2026)
by: Maddi, Aadyaa, et al.
Published: (2026)
Diagnosis of Fuel Cell Health Status with Deep Sparse Auto-Encoder Neural Network
by: Fei, Chenyan, et al.
Published: (2025)
by: Fei, Chenyan, et al.
Published: (2025)
CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
by: Liu, Zhining, et al.
Published: (2025)
by: Liu, Zhining, et al.
Published: (2025)
Data Fusion and Machine Learning for Ship Fuel Consumption Modelling -- A Case of Bulk Carrier Vessel
by: Mohamed, Abdella, et al.
Published: (2025)
by: Mohamed, Abdella, et al.
Published: (2025)
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
by: Margraf, Valentin, et al.
Published: (2024)
by: Margraf, Valentin, et al.
Published: (2024)
A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data
by: Poeta, Eleonora, et al.
Published: (2024)
by: Poeta, Eleonora, et al.
Published: (2024)
Light-Weight Benchmarks Reveal the Hidden Hardware Cost of Zero-Shot Tabular Foundation Models
by: Gangwani, Ishaan, et al.
Published: (2025)
by: Gangwani, Ishaan, et al.
Published: (2025)
Generative AI in Ship Design
by: Thakur, Sahil, et al.
Published: (2024)
by: Thakur, Sahil, et al.
Published: (2024)
TabArena: A Living Benchmark for Machine Learning on Tabular Data
by: Erickson, Nick, et al.
Published: (2025)
by: Erickson, Nick, et al.
Published: (2025)
Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework
by: Sidorenko, Andrey, et al.
Published: (2025)
by: Sidorenko, Andrey, et al.
Published: (2025)
TabAttackBench: A Benchmark for Adversarial Attacks on Tabular Data
by: He, Zhipeng, et al.
Published: (2025)
by: He, Zhipeng, et al.
Published: (2025)
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications
by: Knauer, Ricardo, et al.
Published: (2024)
by: Knauer, Ricardo, et al.
Published: (2024)
Robust Tabular Foundation Models
by: Peroni, Matthew, et al.
Published: (2025)
by: Peroni, Matthew, et al.
Published: (2025)
Pre-Hoc Predictions in AutoML: Leveraging LLMs to Enhance Model Selection and Benchmarking for Tabular datasets
by: Belkhiter, Yannis, et al.
Published: (2025)
by: Belkhiter, Yannis, et al.
Published: (2025)
Deep Reinforcement Learning-Based Approach for a Single Vehicle Persistent Surveillance Problem with Fuel Constraints
by: Mishra, Manav, et al.
Published: (2024)
by: Mishra, Manav, et al.
Published: (2024)
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets
by: Shmuel, Assaf, et al.
Published: (2024)
by: Shmuel, Assaf, et al.
Published: (2024)
Automated Model Selection for Tabular Data
by: Amballa, Avinash, et al.
Published: (2024)
by: Amballa, Avinash, et al.
Published: (2024)
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction
by: Figueroa, Alexei, et al.
Published: (2025)
by: Figueroa, Alexei, et al.
Published: (2025)
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
by: Yoon, Sanghyu, et al.
Published: (2025)
by: Yoon, Sanghyu, et al.
Published: (2025)
MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains
by: Lee, Kyungeun, et al.
Published: (2025)
by: Lee, Kyungeun, et al.
Published: (2025)
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
by: Tu, Ruibo, et al.
Published: (2024)
by: Tu, Ruibo, et al.
Published: (2024)
HyperFast: Instant Classification for Tabular Data
by: Bonet, David, et al.
Published: (2024)
by: Bonet, David, et al.
Published: (2024)
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data
by: Anwar, Ahmed, et al.
Published: (2024)
by: Anwar, Ahmed, et al.
Published: (2024)
Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data
by: He, Zhipeng, et al.
Published: (2025)
by: He, Zhipeng, et al.
Published: (2025)
Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping
by: Lesy, Bavo, et al.
Published: (2024)
by: Lesy, Bavo, et al.
Published: (2024)
TabularQGAN: A Quantum Generative Model for Tabular Data
by: Bhardwaj, Pallavi, et al.
Published: (2025)
by: Bhardwaj, Pallavi, et al.
Published: (2025)
Comparing Task-Agnostic Embedding Models for Tabular Data
by: Hoppe, Frederik, et al.
Published: (2025)
by: Hoppe, Frederik, et al.
Published: (2025)
Generating Realistic Tabular Data with Large Language Models
by: Nguyen, Dang, et al.
Published: (2024)
by: Nguyen, Dang, et al.
Published: (2024)
Distilling Tabular Foundation Models for Structured Health Data
by: Tanna, Aditya, et al.
Published: (2026)
by: Tanna, Aditya, et al.
Published: (2026)
EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting
by: Panja, Madhurima, et al.
Published: (2026)
by: Panja, Madhurima, et al.
Published: (2026)
MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model
by: Jin, Jiongchao, et al.
Published: (2025)
by: Jin, Jiongchao, et al.
Published: (2025)
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
by: Gong, Junchao, et al.
Published: (2024)
by: Gong, Junchao, et al.
Published: (2024)
DualCast: A Model to Disentangle Aperiodic Events from Traffic Series
by: Su, Xinyu, et al.
Published: (2024)
by: Su, Xinyu, et al.
Published: (2024)
Similar Items
-
Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
by: Janzen, Felix Leonhard, et al.
Published: (2026) -
Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain
by: Jaleel, Wafeeq, et al.
Published: (2025) -
Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-based Approach
by: Mohammed, Hamza Haruna, et al.
Published: (2026) -
On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models
by: Jarry, Gabriel, et al.
Published: (2024) -
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
by: Westerhoff, Justus, et al.
Published: (2025)