Results 61 to 70 of about 1,190,682 (254)

Multimodal sensor fusion in the latent representation space

Scientific Reports, 2023
A new method for multimodal sensor fusion is introduced. The technique relies on a two-stage process. In the first stage, a multimodal generative model is constructed from unlabelled training data.
Robert J. Piechocki, Xiaoyang Wang, Mohammud J. Bocus   +2 more
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

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Multimodal-fusion-severe-hypo-data

Datasets (raw and preprocessed) for reproducibility results of the paper "Interpretable and multimodal fusion methods to identify severe hypoglycemia in adults with T1D".This study aims to identify severe hypoglycemia (SH) in Type 1 diabetes patients ...
Francisco J. Lara-Abelenda (17896818), David Chushig-Muzo (13720484), David Chushig-Muzo (17896193), Cristina Soguero-Ruiz (13720487)   +3 more
core   +1 more source

A Multimodal Graph Recommendation Method Based on Cross-Attention Fusion

Mathematics
Research on recommendation methods using multimodal graph information presents a significant challenge within the realm of information services. Prior studies in this area have lacked precision in the purification and denoising of multimodal information ...
Kai Li, Long Xu, Cheng Zhu, Kunlun Zhang
doaj   +1 more source

Exploring The Current State of Multimodal Alignment and Fusion [PDF]

ITM Web of Conferences
Multimodal alignment and fusion technology is the core driving force for the transformation of artificial intelligence from single-modal perception to multimodal cognition.
Ye Leyi
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Medical image fusion: A survey of the state of the art [PDF]

, 2014
Medical image fusion is the process of registering and combining multiple images from single or multiple imaging modalities to improve the imaging quality and reduce randomness and redundancy in order to increase the clinical applicability of medical ...
James, Alex Pappachen, Alex Pappachen, James, Dasarathy, Belur V.   +2 more
core   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Multimodal Intercultural Information and Communication Technology - A Framework for Designing and Evaluating Multimodal Intercultural Communicators [PDF]

, 2009
Även tillgänglig i Hprints: http://hprints.org/hprints-00504104The paper presents a framework, combined with a checklist for designing and evaluating multimodal, intercultural ICT, especially when embodied artificial communicators are used as front ends
Ahlsén, Elisabeth, Elisabeth Ahlsén, Ahlsén, E., Allwood, Jens,, Allwood, Jens, Jens Allwood   +5 more
core   +1 more source