Results 141 to 150 of about 3,605,315 (303)
Advanced Science, EarlyView.ABSTRACT Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Although smartwatch photoplethysmography (PPG) supports continuous monitoring, complex rhythms and signal noise can impair burden estimation.
Song Zuo +27 more
wiley +1 more source
Advanced Science, EarlyView.Maximizing Nanoscale Disorder in Block Copolymers for Orientation‐Independent SERS Platform toward Non‐Invasive Diagnostics is a nature‐inspired strategy that engineers controlled randomness within block copolymer lamellae to achieve optical isotropy without compromising nanoscale periodicity.
Jin Man Kim +6 more
wiley +1 more source
Polarization Engineering in Vinylene‐Linked COFs Toward Efficient Neuromorphic Computing
Advanced Science, EarlyView.A vinyl‐linked covalent organic framework (COF‐DIBPY) was synthesized on a conductive substrate for memristor applications. Redox reactions and bromide migration enable low‐voltage (0.5V) conductance switching with high analog on/off ratio (15.7). The device was further integrated into a speech emotion recognition system for acoustic simulation and ...
Hao Wang +5 more
wiley +1 more source
Hierarchical Multi‐Mode Computing in Interlayer‐Coupled 3D RRAM Crossbar Arrays
Advanced Science, EarlyView.2‐deck RRAM crossbar array provides a versatile hardware platform for multifunctional in‐memory computing. Stacked, series, and entropy node configurations enable multi‐layer conductance modulation, logic‐in‐memory operation, genetic learning, and reconfigurable physical unclonable functions.
Seungman Park +7 more
wiley +1 more source
Recognizing Events in Videos Using Deep Learning Techniques
Syrian Journal for Science and InnovationNeural network models have revolutionized action recognition in videos, enabling precise and efficient processing of complex visual data. These AI-powered tools mimic or even surpass human abilities in understanding visual information.
Waseem Safi, Hisham Muawen
doaj +1 more source
This white paper presents a systematic study and proposes a novel solution for detecting Alzheimer's disease and brain tumors using machine learning (ML) and Convolutional Neural Networks (CNNs).
Nag Shivani Puram
core +1 more source
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
Learning Convolutional Neural Networks in presence of Concept Drift
, 2019 Designing adaptive machine learning systems able to operate in nonstationary conditions, also called concept drift, is a novel and promising research area.
DIsabato S., Roveri M.
core +1 more source
Advanced Science, EarlyView.We developed UCtracker, a urine DNA methylation–based deep learning model, for noninvasive diagnosis and postoperative surveillance of urothelial carcinoma. UCtracker demonstrates high diagnostic accuracy, robustness at ultralow sequencing depth, early recurrence detection, and dynamic risk‐stratified monitoring of molecular residual disease ...
Shengwei Xiong +19 more
wiley +1 more source
, 2019 Convolutional neural networks (CNNs or ConvNets) are a popular group of neural networks that belong to a wider family of methods known as deep learning. The secret for their success lies in their carefully designed architecture capable of considering the
Vieira, Sandra +3 more
core +1 more source