Results 231 to 240 of about 4,772,239 (326)

Unsupervised Variational-Autoencoder-Based Analysis of Morphological Representations in Magnetic-Nanoparticle-Treated Macrophages. [PDF]

Bioengineering (Basel)
Hwang SY, Kang TI, Kim HS, Hong S, Park JO, Kang B.   +5 more
europepmc   +1 more source

Breaking Extrapolation Barriers: Dual Innovations for Property and Component Design of Multi‐Component Alloy

Materials Genome Engineering Advances, EarlyView.
This study breaks extrapolation barriers in alloy design by merging symbolic regression with latent space sampling. The dual‐strategy framework enables accurate prediction of high‐hardness properties and navigates uncharted compositional spaces. The approach successfully designs novel high‐entropy alloys with hardness exceeding 863.5 HV, demonstrating ...
Zhigang Yu, Boyu Zhao, Jianhua Chen, Jun Luan, Yunying Fan, Xingli Zou, Xionggang Lu   +6 more
wiley   +1 more source

A new hybrid model for improving outlier detection using combined autoencoder and variational autoencoder. [PDF]

Sci Rep
Daoud AM, Elkomy OM, Khedr WI, Hosny KM.
europepmc   +1 more source

A Modular Hybrid Framework for CEST MRI Development and Clinical Translation Using pTx‐Pulseq Preparation With Open‐ and Closed‐Source Readouts and ONNX Mapping

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Chemical exchange saturation transfer (CEST) MRI offers unique metabolic insights for imaging of cancer, stroke, or neurodegeneration. However, the rapid expansion of CEST preparation schemes and evaluation techniques creates a bottleneck; novel methods often remain complex prototypes requiring offline processing, preventing clinical ...
Martin Freudensprung, Junaid R. Rajput, Patrick Liebig, Simon Weinmüller, Ludwig Singer, Nikita Vladimirov, Or Perlman, Armin Michael Nagel, Arnd Doerfler, Moritz Zaiss   +9 more
wiley   +1 more source

Proposed dense variational autoencoder model integrated with contrastive learning for foot ulcer classification. [PDF]

Sci Rep
Shandilya G, Gupta S, Gupta D, Juneja S, Chadaga K, Nauman A, Al-Masri AA.   +6 more
europepmc   +1 more source

Fault Diagnosis in an Induction‐Motor‐Driven Rotating Machinery Test Rig Under Unseen Operating Loads Using Multimodal Fusion and Multiagent Deep Reinforcement Learning

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley   +1 more source

ProT-VAE: Protein Transformer Variational AutoEncoder for functional protein design. [PDF]

Proc Natl Acad Sci U S A
Sevgen E, Moller J, Lange A, Parker J, Quigley S, Mayer J, Srivastava P, Gayatri S, Hosfield D, Dilks C, Buchanan C, Speltz T, Korshunova M, Livne M, Gill M, Ranganathan R, Costa AB, Ferguson AL.   +17 more
europepmc   +1 more source

Machine Learning for Thermodynamic States of Notional Nonideal Energetic Mixtures

Propellants, Explosives, Pyrotechnics, EarlyView.
. ABSTRACT Currently, modeling the thermodynamic states in the reaction zone of a detonating energetic mixture entails iteratively solving a set of coupled differential equations that require detailed material property information or models whose empirical parameters must be physically measured.
Sangeeth Balakrishnan, Jesse Hearn, Francis G. VanGessel, Brian C. Barnes, Ruth Doherty, William Wilson, Ryan Ciufo, Peter W. Chung   +7 more
wiley   +1 more source

Transformer and graph variational autoencoder to identify microenvironments: A deep learning protocol for spatial transcriptomics. [PDF]

STAR Protoc
Paniagua K, Huang Y, Gao SJ, Chen Y, Jin YF, Flores M.   +5 more
europepmc   +1 more source

Multimodal artificial intelligence in medical biotechnology: Integrating genomics, imaging, and clinical data for precision therapeutics

Precision Medical Sciences, EarlyView.
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley   +1 more source