Results 71 to 80 of about 5,510,322 (305)

A robust deformed convolutional neural network (CNN) for image denoising

CAAI Transactions on Intelligence Technology, 2022
Abstract Due to strong learning ability, convolutional neural networks (CNNs) have been developed in image denoising. However, convolutional operations may change original distributions of noise in corrupted images, which may increase training difficulty in image denoising.
Qi Zhang 0059, Jingyu Xiao, Chunwei Tian, Jerry Chun-Wei Lin, Shichao Zhang 0001   +4 more
openaire   +4 more sources

ASReview CNN HPO plugin

, 2021
This repository contains an extention for ASReview containing a convolutional neural network (CNN) model that may be utilised during a systematic review with ...
Bart-Jan Boverhof
core   +1 more source

Klasifikasi Jenis Tanaman Hias Menggunakan Metode Convolutional Neural Network (CNN) [PDF]

, 2023
Tanaman hias merupakan suatu jenis tanaman yang memiliki bentuk serta warna yang indah. Banyak masyarakat yang sangat menyukai tanaman hias tersebut. kendala masyarakat saat ini yang terjadi ialah cara membedakan antara tanaman hias yang satu dengan yang
Santi, Rina Candra Noor, Tama, Adindhiya Mareta   +1 more
core   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Using ATR-FTIR Spectra and Convolutional Neural Networks for Characterizing Mixed Plastic Waste [PDF]

, 2021
We present a convolutional neural network (CNN) framework for classifying different types of plastic materials that are commonly found in mixed plastic waste (MPW) streams. The CNN framework uses experimental ATR-FTIR (attenuated total reflection-Fourier
Zhuo, Xu, Victor, Zavala, Armando, McDonald, Shengli, Jiang, Sidike, Paheding, Medhavi, Kamran, Stas, Zinchik, Ezra, Bar-Ziv   +7 more
core   +1 more source

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction

BMC Bioinformatics, 2023
Background Drug‒drug interactions (DDIs) are reactions between two or more drugs, i.e., possible situations that occur when two or more drugs are used simultaneously. DDIs act as an important link in both drug development and clinical treatment. Since it
Zihao Yang, Kuiyuan Tong, Shiyu Jin, Shiyan Wang, Chao Yang, Feng Jiang   +5 more
doaj   +1 more source

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

Advanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi, Yoo‐Jin Jun, Heewon Choee, Kun‐Do Lee, Heesoo Kim, Yu Seok Hwang, Choong Yeon Kim, Seongok Chae, Juhyun Lee, Minkyu Je, Jae‐Woong Jeong, Hyung‐Soon Park   +11 more
wiley   +1 more source

Forensic Video Steganalysis in Spatial Domain by Noise Residual Convolutional Neural Network [PDF]

, 2023
This research evaluates a convolutional neural network (CNN) based approach to forensic video steganalysis. A video steganography dataset is created to train a CNN to conduct forensic steganalysis in the spatial domain.
Kombrink, Meike, Geradts, Zeno, Keizer, Mart   +2 more
core   +1 more source

Attention-Based SeriesNet: An Attention-Based Hybrid Neural Network Model for Conditional Time Series Forecasting

Information, 2020
Traditional time series forecasting techniques can not extract good enough sequence data features, and their accuracies are limited. The deep learning structure SeriesNet is an advanced method, which adopts hybrid neural networks, including dilated ...
Yepeng Cheng, Zuren Liu, Yasuhiko Morimoto   +2 more
doaj   +1 more source