Results 131 to 140 of about 250,191 (314)
Electrically Coded Retinomorphic Spectrophotodetector
Advanced Materials, EarlyView.Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley +1 more source
Exploiting Weak Ties in Incomplete Network Datasets Using Simplified Graph Convolutional Neural Networks [PDF]
, 2020 This paper explores the value of weak-ties in classifying academic literature with the use of graph convolutional neural networks. Our experiments look at the results of treating weak-ties as if they were strong-ties to determine if that assumption ...
Gita Sukthankar +2 more
core +1 more source
Recognition of Internal Overvoltage in Distribution Network Based on Convolutional Neural Network
Electrica, 2022 Fei Long +5 more
doaj +1 more source
IEEE Access, 2019 In order to mine information from medical health data and develop intelligent application-related issues, the multi-modal medical health data feature representation learning related content was studied, and several feature learning models were proposed ...
Weidong Liu +6 more
doaj +1 more source
Advanced Materials, EarlyView.Organic electrochemical synaptic transistors based on sidechain‐engineered conjugated polyelectrolytes reveal that cationic sidechains enable efficient volumetric ion penetration and dense backbone doping, leading to enhanced transconductance and long‐term synaptic retention.
Haim Kwon +6 more
wiley +1 more source
MostafaNabieh/Convolutional-Neural-Network-CNN: CNN Project [PDF]
, 2020 Cnn project by Tensorflow ...
Mostafa Nabieh, Mostafa Nabieh (8597619)
core +1 more source
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
Low Frequency Ultrasonic Voice Activity Detection using Convolutional Neural Networks [PDF]
Low frequency ultrasonic mouth state detection uses reflected audio chirps from the face in the region of the mouth to determine lip state, whether open, closed or partially open.
Song, Yan, McLoughlin, Ian Vince
core
Wavelet Convolutional Neural Networks
CoRR, 2018 Spatial and spectral approaches are two major approaches for image processing tasks such as image classification and object recognition. Among many such algorithms, convolutional neural networks (CNNs) have recently achieved significant performance improvement in many challenging tasks. Since CNNs process images directly in the spatial domain, they are
Shin Fujieda +2 more
openaire +2 more sources
Advanced Materials Technologies, EarlyView.Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le +4 more
wiley +1 more source