Results 171 to 180 of about 187,634 (305)
Label Noise Correction via Fuzzy Learning Machine
The ubiquitous and unavoidable label noise brings great challenges to the generalization performance of learning methods.Label noise correction aims to detect and correct label noise in the data, which is one of the most potential methods to address this
Cui, Junbiao, Li, Yixiao, Liang, Jiye
core +1 more source
Corrigendum: Abnormal respiratory sounds classification using deep CNN through artificial noise addition. [PDF]
Front Med (Lausanne)Zulfiqar R +5 more
europepmc +1 more source
Advanced Materials Technologies, EarlyView.Flexible sweat sensor patch integrating graphene‑interfaced gold microelectrodes functionalized with bio‑receptors and ion‑selective membrane, coupled with a capillary‑driven microfluidic layer and portable potentiostat electronics for multiplexed monitoring of inflammatory, metabolic, and electrolyte biomarkers in microliter sweat volumes.
Roomia Memon +4 more
wiley +1 more source
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
Spiking neural networks (SNNs), inspired by the inherent spiking computation paradigm of the biological neural systems, have exhibited superior energy efficiency in 2D classification tasks over traditional artificial neural networks (ANNs).
Wu, Qiaoyun +4 more
core +1 more source
Multi-Intelligent Reflecting Surfaces and Artificial Noise-Assisted Cell-Free Massive MIMO Against Simultaneous Jamming and Eavesdropping. [PDF]
Sensors (Basel)Hu H, Xie W, Xu K, Xia X, Li N, Wu H.
europepmc +1 more source
Advanced Materials Technologies, EarlyView.A self‐healing and electrically conductive liquid metal elastomer enables robust self‐soldering of surface mount devices for soft electronics. Photothermally activated conductive pathways, strong pressure‐sensitive adhesion, and stable package‐integrated contacts provide high conductivity and extreme stretchability.
Su Thiri San +5 more
wiley +1 more source
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection
As a popular task in graph learning, node classification seeks to assign labels to nodes, taking into account both their features and connections. However, an important challenge for its application in real-world scenarios is the presence of newly ...
Chen, J +5 more
core +1 more source
Enhancing Small Molecule Sensing With Aptameric Functionalized Nano Devices
Advanced Materials Technologies, EarlyView.Unveiling an ultra‐sensitive, non‐invasive neurotransmitter sensor. For the first time, a nanoscale sensor for detecting an important neurotransmitter was demonstrated using micro‐electromechanical systems (MEMS) technology. Our approach utilized field‐effect transistor (FET)‐based readout to enable pico‐molar detection of biomarkers in sweat.
Thi Thanh Ha Nguyen +11 more
wiley +1 more source
The Use of Features Extracted from Noisy Samples for Image Restoration Purposes [PDF]
An important feature of neural networks is the ability they have to learn from their environment, and, through learning to improve performance in some sense.
Panayiotis VLAMOS +2 more
core
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
Advanced Materials Technologies, EarlyView.A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source