Saved in:
| Main Authors: | Arsene, Corneliu, Parisio, Alessandra |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2312.15497 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)
by: Zhu, Peng, et al.
Published: (2024)
EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
by: Jiang, Zhuodong, et al.
Published: (2025)
by: Jiang, Zhuodong, et al.
Published: (2025)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks
by: Chen, Muhao, et al.
Published: (2024)
by: Chen, Muhao, et al.
Published: (2024)
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
Integrated Prediction and Multi-period Portfolio Optimization
by: Linghu, Yuxuan, et al.
Published: (2025)
by: Linghu, Yuxuan, et al.
Published: (2025)
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks
by: Immordino, Gabriele, et al.
Published: (2024)
by: Immordino, Gabriele, et al.
Published: (2024)
Enhancing Smart Grids with Internet of Energy: Deep Reinforcement Learning and Convolutional Neural Network
by: Ruzbahani, Ali Mohammadi
Published: (2024)
by: Ruzbahani, Ali Mohammadi
Published: (2024)
Neural Network Surrogates for Free Energy Computation of Complex Chemical Systems
by: Pornpatcharapong, Wasut
Published: (2025)
by: Pornpatcharapong, Wasut
Published: (2025)
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024)
by: Garnier, Paul, et al.
Published: (2024)
Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
by: Sharma, Vinay, et al.
Published: (2025)
by: Sharma, Vinay, et al.
Published: (2025)
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
by: Li, Ruikun, et al.
Published: (2025)
by: Li, Ruikun, et al.
Published: (2025)
An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025)
by: Sun, Shengke, et al.
Published: (2025)
GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures
by: Hoffmann, Marco, et al.
Published: (2025)
by: Hoffmann, Marco, et al.
Published: (2025)
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)
by: Cheng, Qishuo, et al.
Published: (2024)
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network
by: Wang, Zihao, et al.
Published: (2023)
by: Wang, Zihao, et al.
Published: (2023)
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
by: Rane, Chinmay, et al.
Published: (2023)
by: Rane, Chinmay, et al.
Published: (2023)
Deep Clustering based Boundary-Decoder Net for Inter and Intra Layer Stress Prediction of Heterogeneous Integrated IC Chip
by: Lim, Kart Leong, et al.
Published: (2026)
by: Lim, Kart Leong, et al.
Published: (2026)
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
by: Vaiuso, Andrea, et al.
Published: (2024)
by: Vaiuso, Andrea, et al.
Published: (2024)
Detecting and Triaging Spoofing using Temporal Convolutional Networks
by: Kularatnam, Kaushalya, et al.
Published: (2024)
by: Kularatnam, Kaushalya, et al.
Published: (2024)
Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks
by: Sarker, Apurba
Published: (2024)
by: Sarker, Apurba
Published: (2024)
Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies
by: Teutscher, Dennis, et al.
Published: (2025)
by: Teutscher, Dennis, et al.
Published: (2025)
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
by: Raut, Riddhiman, et al.
Published: (2024)
by: Raut, Riddhiman, et al.
Published: (2024)
Bridging Equilibrium and Kinetics Prediction with a Data-Weighted Neural Network Model of Methane Steam Reforming
by: Pizoń, Zofia, et al.
Published: (2025)
by: Pizoń, Zofia, et al.
Published: (2025)
An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis
by: Amusat, Oluwamayowa O., et al.
Published: (2026)
by: Amusat, Oluwamayowa O., et al.
Published: (2026)
A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat
by: Führer, Florian, et al.
Published: (2023)
by: Führer, Florian, et al.
Published: (2023)
Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks
by: Schmeitz, Ruben, et al.
Published: (2024)
by: Schmeitz, Ruben, et al.
Published: (2024)
Atomistic Simulation Guided Convolutional Neural Networks for Thermal Modeling of Friction Stir Welding
by: Mishra, Akshansh
Published: (2025)
by: Mishra, Akshansh
Published: (2025)
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
by: Shi, Xinyu, et al.
Published: (2024)
by: Shi, Xinyu, et al.
Published: (2024)
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)
by: Zafeiriou, Theodoros, et al.
Published: (2024)
Deep Neural Implicit Representation of Accessibility for Multi-Axis Manufacturing
by: Harabin, George P., et al.
Published: (2024)
by: Harabin, George P., et al.
Published: (2024)
Implicit Neural Representation For Accurate CFD Flow Field Prediction
by: de Vito, Laurent, et al.
Published: (2024)
by: de Vito, Laurent, et al.
Published: (2024)
Precision Glass Thermoforming Assisted by Neural Networks
by: Zhang, Yuzhou, et al.
Published: (2024)
by: Zhang, Yuzhou, et al.
Published: (2024)
Physics-Informed Neural Networks for Shell Structures
by: Bastek, Jan-Hendrik, et al.
Published: (2022)
by: Bastek, Jan-Hendrik, et al.
Published: (2022)
Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network
by: Kiyani, Elham, et al.
Published: (2025)
by: Kiyani, Elham, et al.
Published: (2025)
Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents
by: El-Kabid, Abdessamad, et al.
Published: (2025)
by: El-Kabid, Abdessamad, et al.
Published: (2025)
Energy-Efficient Green AI Architectures for Circular Economies Through Multi-Layered Sustainable Resource Optimization Framework
by: Ranpara, Ripal
Published: (2025)
by: Ranpara, Ripal
Published: (2025)
Application of Tensor Neural Networks to Pricing Bermudan Swaptions
by: Patel, Raj G., et al.
Published: (2023)
by: Patel, Raj G., et al.
Published: (2023)
Geospatial Soil Quality Analysis: A Roadmap for Integrated Systems
by: Abderrahmane, Habiba Ben, et al.
Published: (2025)
by: Abderrahmane, Habiba Ben, et al.
Published: (2025)
Graph Multi-Similarity Learning for Molecular Property Prediction
by: Xu, Hao, et al.
Published: (2024)
by: Xu, Hao, et al.
Published: (2024)
Similar Items
-
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024) -
EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
by: Jiang, Zhuodong, et al.
Published: (2025) -
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026) -
Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks
by: Chen, Muhao, et al.
Published: (2024) -
A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
by: Cheng, Yu, et al.
Published: (2025)