Results 131 to 140 of about 93,507 (297)

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Targeted decrease of portal hepatic pressure gradient improves ascites control after TIPS

Hepatology, EarlyView., 2022
The river diagram demonstrates that after transjugular intrahepatic portosystemic shunt insertion (TIPS) the majority of patients without ascites and 50% of the patients with ascites detectable at ultrasound, show the best response in the long term follow‐up.
Alexander Queck, Louise Schwierz, Wenyi Gu, Philip G. Ferstl, Christian Jansen, Frank E. Uschner, Michael Praktiknjo, Johannes Chang, Maximilian J. Brol, Filippo Schepis, Manuela Merli, Christian P. Strassburg, Jennifer Lehmann, Carsten Meyer, Jonel Trebicka   +14 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

A Natural Formulation of Quasi-Interpolation by Multivariate Splines [PDF]

, 1987
Charles K. Chui, Harvey Diamond
openalex   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Possibilities of constructing design load diagrams of a helical cable shock damper when the direction of inertia forces changes

RUDN Journal of Engineering Research
Currently, experimental load diagrams in several main directions of load perception are used to describe the stiffness characteristics of cable shock dampers.
Elena M. Reizmunt, Sergey V. Doronin
doaj   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

Advanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet, Sergio Sánchez‐Manso, Arnau Manasanch, Lluc Tresserras, Xinhe Zhang, Yining Hua, Hao Zhao, Melody Torao‐Angosto, Maria V Sanchez‐Vives, Leonardo Dalla Porta   +9 more
wiley   +1 more source

Sparse Interpolation in Terms of Multivariate Chebyshev Polynomials [PDF]

, 2021
Évelyne Hubert, Michael F. Singer
openalex   +1 more source

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

Advanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim, Mirza M. A. Tunur, Fahad Arefin, Shahad Saroar, Md. Wahadoszamen, Taslim Ur Rashid, Aminul I. Talukder, Md. Nurul Amin, Mahmudur Rahman, Ahsan Habib   +9 more
wiley   +1 more source

Growth Standards for Children With Smith–Magenis Syndrome (SMS)

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Smith–Magenis syndrome (SMS, OMIM 182290) is a complex syndromic diagnosis marked by neurobehavioral differences and distinct facial dysmorphisms, caused by haploinsufficiency of the retinoic acid‐1 (RAI1) gene either by a pathogenic sequence variant or deletion at chromosome 17p11.2 involving a portion or all of this gene.
Julie Hoover‐Fong, John McGready, Leah Fleming, Kerry Schulze, Folami Duncan, Alexis Leonard, Marie Christine de Blois Boucard, Danilo Moretti‐Ferreira, Andrea L. Gropman, Wendy J. Introne, Ann C. M. Smith   +10 more
wiley   +1 more source