Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo +4 more
wiley +1 more source
LYEU-Net: A lightweight yet efficient U-Net with multibranch feature aggregation for pavement crack segmentation. [PDF]
Yang B, He J, Shen Y.
europepmc +1 more source
Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu +9 more
wiley +1 more source
Automated Tissue Classification and Candidate Biomarker Feature Extraction in Mass Spectrometry Imaging Based on Interpretable Deep Learning Algorithm. [PDF]
Xu G, Gan S, Guo B, Yang L.
europepmc +1 more source
Massively Multiplexed Photonic Chip With Cross‐Channel Fusion For Harmonized Biosensing
We introduce a transformative sensing platform integrating photonic multiplexing with over 10 000 sensors and a deep‐learning framework that combines domain adaptation and cross‐channel fusion for harmonized operation across heterogeneous chips. The platform achieves 99.3% identification accuracy and relative prediction errors of 10−4$^{-4}$ for ...
Ivan Saetchnikov +3 more
wiley +1 more source
Artificial intelligence for dysphagia screening: A machine learning approach. [PDF]
Rech RS +5 more
europepmc +1 more source
A diagnostic method for reconfigurable intelligent surfaces (RIS) based on non‐uniform space‐time‐coding modulation is presented. Fault localization is achieved via amplitude‐only spectral measurements, eliminating the need for complex signal processing. A one‐to‐one mapping between harmonic components and RIS elements enables accurate detection.
Xiao Qing Chen +8 more
wiley +1 more source
Quick Response Code Verification Using Anti-Counterfeiting Pattern and Multi-Feature Fusion Network. [PDF]
Sun K, Guo Z, Zheng H.
europepmc +1 more source
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
GoniOwl: convolutional neural network-based sample state detection for collision prevention on synchrotron beamlines. [PDF]
Orr CM, O'Hea J, Wagner A.
europepmc +1 more source

