Photonic neuromorphic accelerator for convolutional neural networks based on an integrated reconfigurable mesh. [PDF]
Tsirigotis A+8 more
europepmc +1 more source
A Wearable In‐Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood
MenstruAI integrates a paper‐based biosensor into sanitary pads to detect biomarkers in menstrual blood, enabling accessible, lab‐free diagnostics health. The platform supports early disease detection, especially in underserved communities, while challenging menstrual stigma and opening pathways for scalable, inclusive, and sustainable population ...
Lucas Dosnon+3 more
wiley +1 more source
MVHGCN: Predicting circRNA-disease associations with multi-view heterogeneous graph convolutional neural networks. [PDF]
Miao Y+5 more
europepmc +1 more source
Convolutional Neural Network-based System for Vehicle Front-Side Detection
Young-Kyu Park+3 more
openalex +2 more sources
Convolutional Neural Networks for Detecting and Mapping Crowds in First Person Vision Applications [PDF]
Juan Sebastián Olier+3 more
openalex +1 more source
Memristive In‐Memory Object Detection with 128 Mb C‐Doped Ge2Sb2Te5 PCM Chip
A memristive in‐memory object detection system is presented for edge computing based on a 128 Mb phase change memory chip (40 nm, 99.99999 % yield) enabling in‐memory vector‐matrix multiplication and max computation. A novel mixed‐precision weight mapping reduces analog‐to‐digital‐converter energy by 22.3×.
Chenchen Xie+13 more
wiley +1 more source
Code generation system based on MDA and convolutional neural networks. [PDF]
Vargas-Monroy G+4 more
europepmc +1 more source
Bionic Multimodal Augmented Somatosensory Receptor Enabled by Thermogalvanic Hydrogel
A skin‐inspired self‐powered multimodal fingertip receptor that integrates thermogalvanic hydrogels as active mechanoreceptors and thermoreceptors is proposed. By exploiting dynamic‐static thermovoltage of the hydrogel to visualize the unsteady interfacial heat conduction, different materials can be determined in 80 ms.
Ning Li+6 more
wiley +1 more source
Comparative analysis of convolutional neural networks and vision transformers in identifying benign and malignant breast lesions. [PDF]
Wang L, Fang S, Chen X, Pan C, Meng M.
europepmc +1 more source
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong‐Deok Kim+5 more
openalex +2 more sources