:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Muhao, Qin, Jing
Formato:	Preprint
Publicado:	2024
Materias:	Computational Engineering, Finance, and Science Machine Learning
Acceso en línea:	https://arxiv.org/abs/2407.12006
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Free-form Grid Structure Form Finding based on Machine Learning and Multi-objective Optimisation
por: Meng, Yiping, et al.
Publicado: (2024)

Physics-Informed Neural Networks for Shell Structures
por: Bastek, Jan-Hendrik, et al.
Publicado: (2022)

Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems
por: Arsene, Corneliu, et al.
Publicado: (2023)

Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
por: Cheng, Qishuo, et al.
Publicado: (2024)

Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies
por: Teutscher, Dennis, et al.
Publicado: (2025)

GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data
por: Zheng, Jiahui, et al.
Publicado: (2025)

Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks
por: Sarker, Apurba
Publicado: (2024)

Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network
por: Kiyani, Elham, et al.
Publicado: (2025)

GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures
por: Hoffmann, Marco, et al.
Publicado: (2025)

Physics-informed Partitioned Coupled Neural Operator for Complex Networks
por: Wu, Weidong, et al.
Publicado: (2024)

PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
por: Zhao, Zhiyuan, et al.
Publicado: (2023)

Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
por: Raut, Riddhiman, et al.
Publicado: (2024)

Bridging Equilibrium and Kinetics Prediction with a Data-Weighted Neural Network Model of Methane Steam Reforming
por: Pizoń, Zofia, et al.
Publicado: (2025)

An Attention-based Spatio-Temporal Neural Operator for Evolving Physics
por: Karkaria, Vispi, et al.
Publicado: (2025)

Graph Multi-Similarity Learning for Molecular Property Prediction
por: Xu, Hao, et al.
Publicado: (2024)

Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks
por: Schmeitz, Ruben, et al.
Publicado: (2024)

B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
por: Proszewska, Magdalena, et al.
Publicado: (2025)

Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
por: Wang, Bicheng, et al.
Publicado: (2025)

Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks
por: Immordino, Gabriele, et al.
Publicado: (2024)

A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat
por: Führer, Florian, et al.
Publicado: (2023)

Enforcing the Principle of Locality for Physical Simulations with Neural Operators
por: Chen, Jiangce, et al.
Publicado: (2024)

Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
por: Mishra, Akshansh
Publicado: (2024)

Computational Fluid Dynamics Optimization of F1 Front Wing using Physics Informed Neural Networks
por: Shah, Naval
Publicado: (2025)

MatMMFuse: Multi-Modal Fusion model for Material Property Prediction
por: Bhattacharya, Abhiroop, et al.
Publicado: (2025)

Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices
por: Wang, Cong, et al.
Publicado: (2024)

Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
por: Shi, Xinyu, et al.
Publicado: (2024)

A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
por: Cheng, Yu, et al.
Publicado: (2025)

Neural Modular Physics for Elastic Simulation
por: Li, Yifei, et al.
Publicado: (2025)

The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms
por: Thoi, Trang, et al.
Publicado: (2026)

Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
por: Zafeiriou, Theodoros, et al.
Publicado: (2024)

FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics
por: Li, Pingzhi, et al.
Publicado: (2026)

Implicit Neural Representation For Accurate CFD Flow Field Prediction
por: de Vito, Laurent, et al.
Publicado: (2024)

Precision Glass Thermoforming Assisted by Neural Networks
por: Zhang, Yuzhou, et al.
Publicado: (2024)

Advanced LSTM Neural Networks for Predicting Directional Changes in Sector-Specific ETFs Using Machine Learning Techniques
por: Gowani, Rifa, et al.
Publicado: (2024)

Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems
por: Yuan, Biao, et al.
Publicado: (2024)

Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents
por: El-Kabid, Abdessamad, et al.
Publicado: (2025)

Physics-Informed Neural Networks for Thermophysical Property Retrieval
por: Waseem, Ali, et al.
Publicado: (2025)

Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
por: Kandimalla, Eshwar Sai, et al.
Publicado: (2026)

Application of Tensor Neural Networks to Pricing Bermudan Swaptions
por: Patel, Raj G., et al.
Publicado: (2023)

Transferable Physics-Informed Representations via Closed-Form Head Adaptation
por: Wong, Jian Cheng, et al.
Publicado: (2026)