Results 241 to 250 of about 229,861 (318)

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

Hybrid CNN-GNN architectures with distributed training for heathland plant classification. [PDF]

Environ Monit Assess
Olouladé BM, Bak JL, Sørensen PB, Yu H, Damgaard C.   +4 more
europepmc   +1 more source

Zero Watermarking Using Convolutional Additive Self‐Attention Vision Transformer and Discrete Wavelet Transform‐Variance‐Based Feature Descriptor for Medical Image Security in Mobile Healthcare Services

Advanced Intelligent Systems, EarlyView.
A zero‐watermarking algorithm that combines a refined convolutional additive self‐attention vision transformer (CAS‐ViT) with a discrete wavelet transform variance‐based feature descriptor (DVFD) is proposed for protecting the privacy of medical images in mobile healthcare services.
Pei Liu, Yan Yan, Hao Huang, Ping Wang, Weirong Qin, Xiangjian Zuo, Yongqin Li   +6 more
wiley   +1 more source

BC-SwinNet: Swin transformer and CNN with multi-objective optimization for multi-class breast cancer detection using Histopathological images. [PDF]

Sci Rep
Khan M, Altaf M, Khan NR, Pk H, Malik V, Menshawi A, Alsubait T, Ziar RA, Martin RJ.   +8 more
europepmc   +1 more source

A Multimodal Laser‐Induced Graphene‐Based Flexible Sensor for Soft Robotic Hand Environmental Perception

Advanced Intelligent Systems, EarlyView.
A multimodal laser‐induced graphene (LIG)‐based flexible sensor is developed to detect proximity and contact signals. Integrated into a soft robotic hand, it enables vision‐free object searching and grasping. Combined with a convolutional neural network, the system achieves accurate material and texture recognition, enhancing the capability of ...
Youning Duo, Jinxi Duan, Xinyu Hao, Kaining Tao, Xin Liu, Mingyuan Li, Xingyu Chen, Wenbo Liu, Zonghao Zuo, Li Wen   +9 more
wiley   +1 more source

Energy-efficient traffic sign recognition using directly trained spiking neural networks and population decoding. [PDF]

Front Neurosci
Schulte JV, Peters S.
europepmc   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Explainable Split-Learning-Based Framework for Accurate Pulmonary Nodule Classification. [PDF]

Bioengineering (Basel)
Bouamrane A, Derdour M, Alksas A, ALghamdi NS, Ghazal M, El-Baz A.   +5 more
europepmc   +1 more source

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

Advanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet, Marc Botifoll, Xuli Chen, Martin Børstad Eriksen, Jing Yu, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Jordi Arbiol   +8 more
wiley   +1 more source

Indoor positioning with multi-domain CSI-based deep attention networks for MIMO wireless systems. [PDF]

NPJ Wirel Technol
Susarla P, Mukherjee A, Bulusu SSKC, Katragunta P, Jayagopi DB, López MB, Juntti M.   +6 more
europepmc   +1 more source