Results 41 to 50 of about 6,631,978 (236)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Physics-regularized deep learning framework for floor impact sound prediction in residential buildings: A civil engineering approach

Results in Engineering
Inter-floor noise in multi-family residential buildings constitutes a critical structural-acoustic challenge, causing health deterioration and legal disputes in densely populated urban areas.
Jongmyeong Kim, Dahye Jung, Keunsu Jeon, Yonghan Ahn, Woojae Kim, Nahyun Kwon   +5 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Fairness-Aware Optimization in Spatio-Temporal Epidemic Data Mining: A Graph-Augmented Temporal Fusion Transformer

Mathematics
Modeling the complex spatio-temporal dynamics of infectious diseases presents a significant computational challenge due to heterogeneous regional interactions, high-dimensional multimodal data streams, and the critical need for algorithmic fairness. This
Saleh Albahli
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

A Force‐Based Identification Scheme for Constitutive Parameters Regularized by Admissible Elemental Internal Forces

Engineering Reports
We present a new regularized inverse formulation, built upon the paradigm of force‐based Finite Element Model Updating (FEMU‐F), for identifying constitutive parameters from full‐field displacements and integrated external forces.
Abbas Jafari, Eleni Chatzi, Jörg F. Unger   +2 more
doaj   +1 more source

Cluster-Based Q-Learning Relational Game (C-QLRG): A Practical Relaxation for Asymmetric Online Social Networks

AI
The Q-Learning Relational Game (QLRG) framework provides a theoretically rigorous method for identifying minimal winning coalitions in online social networks (OSNs) under the restrictive assumption of global agent symmetry or uniform matroid structure ...
Duc Nghia Vu, Janos Demetrovics
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

A Unified Superelliptic Framework for the Differential Geometry of Gielis Transformations

Axioms
The Gielis superformula is a powerful parametric tool that generates an infinite variety of natural and organic curves and surfaces through a compact set of parameters. However, classical differential geometry has lacked a unified framework for analyzing
Zehra Özdemir, Esra Parlak, Johan Gielis   +2 more
doaj   +1 more source

Regulation of gap junction function; the role of nitric oxide. [PDF]

, 2013
Myocardial ischemia resulting from sudden occlusion of a coronary artery is one of the major causes in the appearance of severe, often life-threatening ventricular arrhythmias.
Kovács Mária, Miskolczi Gottfried, Végh, Ágnes, Gönczi, Márton, Végh Ágnes, Gottfried Miskolczi, Miskolczi eGottfried, Miskolczi, Gottfried, Kovács, Mária, Gönczi eMárton, Kovács eMária, Gönczi Márton, Ágnes Végh, Mária Kovács, Ágnes eVégh, Márton Gönczi   +15 more
core   +1 more source