[HTML][HTML] Diagnosis of patellofemoral osteoarthritis using enhanced sequential deep learning techniques
The surface electromyography (sEMG) signal is a complex interference pattern resulting
from the electrical activity of contracting muscles, which directly correlates with muscle …
from the electrical activity of contracting muscles, which directly correlates with muscle …
Building high-throughput neural architecture search workflows via a decoupled fitness prediction engine
AK Rorabaugh, S Caino-Lores… - … on Parallel and …, 2022 - ieeexplore.ieee.org
Neural networks (NN) are used in high-performance computing and high-throughput
analysis to extract knowledge from datasets. Neural architecture search (NAS) automates …
analysis to extract knowledge from datasets. Neural architecture search (NAS) automates …
An image deblurring method using improved U-Net model based on multilayer fusion and attention mechanism
Z Lian, H Wang - Scientific Reports, 2023 - nature.com
The investigation of image deblurring techniques in dynamic scenes represents a prominent
area of research. Recently, deep learning technology has gained extensive traction within …
area of research. Recently, deep learning technology has gained extensive traction within …
[PDF][PDF] Egyptian Informatics Journal
MR Ibraheem, SN Almuayqil, AA Abd El-Aziz… - researchgate.net
The surface electromyography (sEMG) signal is a complex interference pattern resulting
from the electrical activity of contracting muscles, which directly correlates with muscle …
from the electrical activity of contracting muscles, which directly correlates with muscle …
Bi-directional English-Awngi Machine Translation Using Deep learning
B Agerie - 2022 - ir.bdu.edu.et
Deep learning is the current approach in neural machine translation, which requires huge
amount of parallel corpus to produce high-quality translation result. The purpose of the study …
amount of parallel corpus to produce high-quality translation result. The purpose of the study …