Image de couverture de livre

Interpretable Classification of Levantine Ceramic Thin Sections via Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Capriotti, Sara, Devoto, Alessio, Scardapane, Simone, Mignardi, Silvano, Medeghini, Laura
Format:	Preprint
Publié:	2025
Sujets:	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

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
par: Gregnanin, Marco, et autres
Publié: (2026)

WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network
par: Li, Ruikun, et autres
Publié: (2025)

The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem
par: Gregnanin, Marco, et autres
Publié: (2026)

Stochastic Deep Learning Surrogate Models for Uncertainty Propagation in Microstructure-Properties of Ceramic Aerogels
par: Islam, Md Azharul, et autres
Publié: (2025)

Constitutive Manifold Neural Networks
par: Schuttert, Wouter J., et autres
Publié: (2025)

Brain-Inspired Physics-Informed Neural Networks: Bare-Minimum Neural Architectures for PDE Solvers
par: Markidis, Stefano
Publié: (2024)

Minimizing the Value-at-Risk of Loan Portfolio via Deep Neural Networks
par: Di Wang, Albert, et autres
Publié: (2025)

Physics Informed Neural Network using Finite Difference Method
par: Lim, Kart Leong, et autres
Publié: (2026)

Accelerating Hydrodynamic Fabrication of Microstructures using Deep Neural Networks
par: Clinkinbeard, Nicholus R., et autres
Publié: (2024)

The Power of Small LLMs in Geometry Generation for Physical Simulations
par: Shafiq, Ossama, et autres
Publié: (2025)

Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
par: Kim, Minwu, et autres
Publié: (2024)

Superstructure Optimization with Embedded Neural Networks for Sustainable Aviation Fuel Production
par: Klimek, Alexander, et autres
Publié: (2025)

Physics-Informed Neural Networks for Solving Contact Problems in Three Dimensions
par: Sahin, Tarik, et autres
Publié: (2024)

Transfer-learned Kolosov-Muskhelishvili Informed Neural Networks for Fracture Mechanics
par: Zhou, Shuwei, et autres
Publié: (2026)

TOaCNN: Adaptive Convolutional Neural Network for Multidisciplinary Topology Optimization
par: Chadha, Khaish Singh, et autres
Publié: (2023)

Advances in Particle Flow Filters with Taylor Expansion Series
par: Servadio, Simone
Publié: (2025)

Dynamical Update Maps for Particle Flow with Differential Algebra
par: Servadio, Simone
Publié: (2025)

EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
par: Jiang, Zhuodong, et autres
Publié: (2025)

Statistical Design of Thermal Protection System Using Physics-Informed Neural Network
par: Lyathakula, Karthik Reddy, et autres
Publié: (2025)

Development and Validation of an Artificial Neural Network for the Recognition of Custom Dataset with YOLOv4
par: Veysi, P., et autres
Publié: (2024)

Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
par: Calafà, Matteo, et autres
Publié: (2024)

Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems
par: Ganga, Sai, et autres
Publié: (2024)

Enhancing Accuracy and Efficiency in Calibration of Drinking Water Distribution Networks Through Evolutionary Artificial Neural Networks and Expert Systems
par: Gomez, Cristian, et autres
Publié: (2024)

Enforced Interface Constraints for Domain Decomposition Method of Discrete Physics-Informed Neural Networks
par: Yin, Jichao, et autres
Publié: (2025)

Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications
par: Farea, Afrah, et autres
Publié: (2025)

Graph Neural Network-Based Topology Optimization for Self-Supporting Structures in Additive Manufacturing
par: Tabarraei, Alireza, et autres
Publié: (2025)

A Hybrid Neural Network Model For Predicting The Nitrate Concentration In The Recirculating Aquaculture System
par: Fan, Xiangyu, et autres
Publié: (2024)

Enhancing Smart Grids with Internet of Energy: Deep Reinforcement Learning and Convolutional Neural Network
par: Ruzbahani, Ali Mohammadi
Publié: (2024)

Lattice-Boltzmann-Driven Physics-Informed Neural Networks for Droplet Wettability on Rough Surfaces
par: Meshram, Ganesh Sahadeo, et autres
Publié: (2026)

A Dual Physics-Informed Kolmogorov-Arnold Neural Network Framework for Continuum Topology Optimization
par: Zhang, Junyuan, et autres
Publié: (2026)

Multiscale Structural Reliability Analysis in high dimensions with Tensor Trains and Physics-Augmented Neural Networks
par: Tyagi, Aryan, et autres
Publié: (2026)

A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
par: Du, Jian, et autres
Publié: (2024)

A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues
par: Lin, Zhongya, et autres
Publié: (2025)

Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
par: Meshram, Ganesh Sahadeo, et autres
Publié: (2026)

Physics Informed Neural Networks for Modeling of 3D Flow-Thermal Problems with Sparse Domain Data
par: Bhatnagar, Saakaar, et autres
Publié: (2023)

Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
par: Jian, Xudong, et autres
Publié: (2024)

Rapid Estimation of Left Ventricular Contractility with a Physics-Informed Neural Network Inverse Modeling Approach
par: Naghavi, Ehsan, et autres
Publié: (2024)

Toward Efficient FSI Modeling in Patient-Specific Arteries: SPH Simulation of Blood Flow in Thin Deformable Vessels
par: Zhao, Chenxi, et autres
Publié: (2025)

Multilayer Network of Cardiovascular Diseases and Depression via Multipartite Projection
par: Li, Jie, et autres
Publié: (2024)

History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs)
par: Abbasi, Jassem, et autres
Publié: (2024)