Computational Sensing, Understanding, and Reasoning: An Artificial Intelligence Approach to Physics-Informed World Modeling
This work offers a discussion on how computational mechanics and physics-informed
machine learning can be integrated into the process of sensing, understanding, and …
machine learning can be integrated into the process of sensing, understanding, and …
Energy consumption prediction for crude oil pipelines based on integrating mechanism analysis and data mining
X Zhang, L Hou, J Liu, K Yang, C Chai, Y Li, S He - Energy, 2022 - Elsevier
Accurate energy consumption prediction of crude oil pipeline is the basis for energy
management and control optimization of oil transportation enterprises. The energy …
management and control optimization of oil transportation enterprises. The energy …
Estimation of ecological footprint based on tourism development indicators using neural networks and multivariate regression
The ecological footprint has attracted a lot of attention in the top tourism destination
countries, and this issue may be worrying. This study aims to estimate the ecological …
countries, and this issue may be worrying. This study aims to estimate the ecological …
Physics perception in sloshing scenes with guaranteed thermodynamic consistency
Physics perception very often faces the problem that only limited data or partial
measurements on the scene are available. In this work, we propose a strategy to learn the …
measurements on the scene are available. In this work, we propose a strategy to learn the …
[HTML][HTML] Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach
The broad possibilities offered by microfluidic devices in relation to massive data monitoring
and acquisition open the door to the use of deep learning technologies in a very promising …
and acquisition open the door to the use of deep learning technologies in a very promising …
Development of physics-guided neural network framework for acid-base treatment prediction using carbon dioxide-based tubular reactor
C Panjapornpon, P Chinchalongporn… - … Applications of Artificial …, 2024 - Elsevier
Accurate acid-base treatment prediction is necessary to achieve the required yield, given the
inherent complexity, high nonlinearity, and restricted availability of data samples; to address …
inherent complexity, high nonlinearity, and restricted availability of data samples; to address …
Constructing a predicting model for ecological footprint in G20 countries through artificial neural network
A Roumiani, K Shakarami, AB Arian - Energy & Environment, 2024 - journals.sagepub.com
The purpose of this research is to build an estimated model for the ecological footprint (EF)
in the G20 countries in the period of 1999–2018, the last two decades. These countries have …
in the G20 countries in the period of 1999–2018, the last two decades. These countries have …
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables
J Orera-Echeverria, J Ayensa-Jiménez… - arXiv preprint arXiv …, 2023 - arxiv.org
Nonlinear materials are often difficult to model with classical state model theory because
they have a complex and sometimes inaccurate physical and mathematical description or …
they have a complex and sometimes inaccurate physical and mathematical description or …
Predicting and explaining nonlinear material response using deep physically guided neural networks with internal variables
J Ayensa-Jiménez… - … and Mechanics of …, 2024 - journals.sagepub.com
Nonlinear materials are often difficult to model with classical state model theory because
they have a complex and sometimes inaccurate physical and mathematical description, or …
they have a complex and sometimes inaccurate physical and mathematical description, or …
Physics-informed machine learning for optimizing the coating conditions of blade coating
Large-scale liquid coating has been used in various industrial fields, such as the fabrication
of functional panels or surfaces. Blade coating with continuous liquid supply is a cost …
of functional panels or surfaces. Blade coating with continuous liquid supply is a cost …