Results 131 to 140 of about 6,781,577 (302)
Bioinspired Ionochromic Neuromorphic Transistors for Robotic Intelligent Perception
Advanced Science, EarlyView.A bioinspired ionochromic neuromorphic transistor couples synaptic conductance modulation with reversible color change through voltage‐controlled ion doping in P3HT/ion gel, mimicking biological synaptic plasticity, and chameleon‐like color regulation.
Quanxing Yao +10 more
wiley +1 more source
IET Radar, Sonar & NavigationThe classification methods for hyperspectral images (HSI) based on decision trees and convolutional neural networks have shown increasing advantages, but these methods often require a large number of labelled samples for learning, which is difficult for ...
Ning Li +3 more
doaj +1 more source
Advanced Science, EarlyView.This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang +10 more
wiley +1 more source
Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
Advanced Science, EarlyView.A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Advanced Science, EarlyView.Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson’s Disease
, 2017 Parkinsonism is the second most common neurodegenerative disease, originated by a dopamine decrease in the striatum. Single Photon Emission Computed Tomography (SPECT) images acquired using the DaTSCAN drug are a widely extended tool in the diagnosis of Parkinson’s Disease (PD), since they can measure the amount of dopamine transporters in the striatum.
Martínez-Murcia, Francisco Jesús +7 more
openaire +2 more sources
Battery‐Inspired Electrochemical Synapses for Neuromorphic Applications
Advanced Science, EarlyView.Battery‐ion‐inspired synaptic devices integrate diverse electrolyte systems (solid, ion‐gel, liquid) with transition metal oxides, two‐dimensional materials, and organic channels to regulate ion‐electron coupling. By tailoring ion transport and host interactions, these platforms enable controllable plasticity and energy‐efficient implementations for ...
Won Woo Lee +6 more
wiley +1 more source
Retracted: 3D Convolutional Neural Network Framework with Deep Learning for Nuclear Medicine. [PDF]
Scanning, 2023 Scanning.
europepmc +1 more source
Chinese herbal medicines are the treasure of Chinese traditional medicine, which contains active ingredients that have significant therapeutic effects for many diseases.
Lulu Lv +8 more
core +1 more source
Advanced Science, EarlyView.This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang +10 more
wiley +1 more source