Image de couverture de livre

Aeroengine performance prediction using a physical-embedded data-driven method

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mo, Tong, Dai, Shiran, Fu, An, Zhu, Xiaomeng, Li, Shuxiao
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence 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

Data-driven building energy efficiency prediction using physics-informed neural networks
par: Michalakopoulos, Vasilis, et autres
Publié: (2023)

Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases
par: Zhao, Chuang, et autres
Publié: (2025)

Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence
par: Balhorn, Lukas Schulze, et autres
Publié: (2024)

Temporal distribution of clusters of investors and their application in prediction with expert advice
par: Wisniewski, Wojciech, et autres
Publié: (2024)

RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack
par: Dai, Weichen, et autres
Publié: (2025)

Boundary-Decoder network for inverse prediction of capacitor electrostatic analysis
par: Lim, Kart-Leong, et autres
Publié: (2024)

Automated machine learning: AI-driven decision making in business analytics
par: Schmitt, Marc
Publié: (2022)

Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning
par: Qu, Xinye, et autres
Publié: (2025)

MATEY: multiscale adaptive foundation models for spatiotemporal physical systems
par: Zhang, Pei, et autres
Publié: (2024)

Learning-Based Finite Element Methods Modeling for Complex Mechanical Systems
par: Shi, Jiasheng, et autres
Publié: (2024)

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
par: Zhang, Zeyang, et autres
Publié: (2023)

A data-driven framework for team selection in Fantasy Premier League
par: Ramezani, Danial, et autres
Publié: (2025)

Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
par: Wu, Yuanhong, et autres
Publié: (2026)

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils
par: Duthé, Gregory, et autres
Publié: (2025)

CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking
par: Wang, Yichen, et autres
Publié: (2024)

LLM-guided Chemical Process Optimization with a Multi-Agent Approach
par: Zeng, Tong, et autres
Publié: (2025)

DK-Root: A Joint Data-and-Knowledge-Driven Framework for Root Cause Analysis of QoE Degradations in Mobile Networks
par: Li, Qizhe, et autres
Publié: (2025)

AI Agents in Engineering Design: A Multi-Agent Framework for Aesthetic and Aerodynamic Car Design
par: Elrefaie, Mohamed, et autres
Publié: (2025)

Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns
par: Zhu, Haoren, et autres
Publié: (2024)

CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
par: Cao, Yupeng, et autres
Publié: (2024)

Detecting hidden structures from a static loading experiment: topology optimization meets physics-informed neural networks
par: Mowlavi, Saviz, et autres
Publié: (2023)

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction
par: Ding, Fan, et autres
Publié: (2025)

Forecasting VIX using interpretable Kolmogorov-Arnold networks
par: Cho, So-Yoon, et autres
Publié: (2025)

Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
par: Lin, Fu, et autres
Publié: (2024)

Domain-specific ReAct for physics-integrated iterative modeling: A case study of LLM agents for gas path analysis of gas turbines
par: Song, Tao, et autres
Publié: (2024)

AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery
par: Yin, Yuqi, et autres
Publié: (2025)

Using Large Language Models for Parametric Shape Optimization
par: Zhang, Xinxin, et autres
Publié: (2024)

Query2CAD: Generating CAD models using natural language queries
par: Badagabettu, Akshay, et autres
Publié: (2024)

EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
par: Deng, Huayu, et autres
Publié: (2024)

FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles
par: Malarkkan, Arun Vignesh, et autres
Publié: (2026)

Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
par: Zhu, Mengran, et autres
Publié: (2024)

LASER: Learning Active Sensing for Continuum Field Reconstruction
par: Deng, Huayu, et autres
Publié: (2026)

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
par: Zeng, Liang, et autres
Publié: (2021)

Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble
par: Zhu, Mengran, et autres
Publié: (2024)

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
par: Li, Yuante, et autres
Publié: (2025)

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
par: Li, Ruikun, et autres
Publié: (2025)

Instructor-inspired Machine Learning for Robust Molecular Property Prediction
par: Wu, Fang, et autres
Publié: (2023)

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design
par: Wu, Fang, et autres
Publié: (2026)

Crisis-Resilient Portfolio Management via Graph-based Spatio-Temporal Learning
par: Li, Zan, et autres
Publié: (2025)

Explainable Heterogeneous Anomaly Detection in Financial Networks via Adaptive Expert Routing
par: Li, Zan, et autres
Publié: (2025)