An enhanced deep learning method for the quantification of epicardial adipose tissue
Study populationIn this study, 108 patients aged between 48 and 70 years (mean age ± standard deviation: 60.1 years ± 6.0; 62 of 108...
Deep
Intelligent agricultural robotic detection system for greenhouse tomato leaf diseases using soft computing techniques and deep learning
This section comprises three subsections, each of which explains the different components involved in developing an agricultural robot for tomato...
Synergistic application of digital outcrop characterization techniques and deep learning algorithms in geological exploration
UAV oblique photography technologyIn the challenging field of geological exploration, the introduction of Unmanned Aerial Vehicle Tilt Photography technology (UTP)...
What Is Deep Learning? | IBM
Transformer models combine an encoder-decoder architecture with a text-processing mechanism and have revolutionized how language models are trained. An encoder...
Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals
The methodology for AHI estimation in our study is outlined in Fig. 1, comprising an end-to-end pipeline with four key stages:...
A Data-Centric Approach to improve performance of deep learning models
Whang, S. E., Roh, Y., Song, H. & Lee, J. G. Data collection and quality challenges in deep learning: a...
