Bone age assessment empowered with deep learning: a survey, open research challenges and future directions

MW Nadeem, HG Goh, A Ali, M Hussain, MA Khan… - Diagnostics, 2020 - mdpi.com
Deep learning is a quite useful and proliferating technique of machine learning. Various
applications, such as medical images analysis, medical images processing, text …

Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices

M Beniwal, A Singh, N Kumar - Engineering Applications of Artificial …, 2024 - Elsevier
Deep machine learning algorithms play an important role in facilitating the development of
predictive models for the stock market. However, most studies focus on predicting next-day …

Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019

CJ Huang, Y Shen, PH Kuo, YH Chen - Socio-Economic Planning Sciences, 2022 - Elsevier
The coronavirus disease 2019 pandemic continues as of March 26 and spread to Europe on
approximately February 24. A report from April 29 revealed 1.26 million confirmed cases and …

Toward an ultra-wideband hybrid metamaterial based microwave absorber

A El Assal, H Breiss, R Benzerga, A Sharaiha, A Jrad… - Micromachines, 2020 - mdpi.com
In this paper, we propose a novel design of an ultra-wideband hybrid microwave absorber
operating in the frequency range between 2 GHz and 18 GHz. This proposed hybrid …

Development of a novel burned-area subpixel mapping (BASM) workflow for fire scar detection at subpixel level

H Xu, G Zhang, Z Zhou, X Zhou, J Zhang, C Zhou - Remote Sensing, 2022 - mdpi.com
The accurate detection of burned forest area is essential for post-fire management and
assessment, and for quantifying carbon budgets. Therefore, it is imperative to map burned …

Forest fire monitoring and positioning improvement at subpixel level: application to himawari-8 fire products

H Xu, G Zhang, Z Zhou, X Zhou, C Zhou - Remote Sensing, 2022 - mdpi.com
Forest fires are among the biggest threats to forest ecosystems and forest resources, and
can lead to ecological disasters and social crises. Therefore, it is imperative to detect and …

[Retracted] Design and Implementation of Human Motion Recognition Information Processing System Based on LSTM Recurrent Neural Network Algorithm

X Li - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
With the comprehensive development of national fitness, men, women, young, and old in
China have joined the ranks of fitness. In order to increase the understanding of human …

Investigation of visual inspection methodologies for printed circuit board products

W Deng - Journal of Optics, 2024 - Springer
Printed circuit board (PCB) inspection is as challenging issue in electronic manufacturing.
Visual inspection is broadly used to perform this task and has been instigated by many …

Analysis and research on human movement in sports scene

Y Wang, Y Zhang, LJ Shen… - Computational …, 2021 - Wiley Online Library
As a whole‐body sport, skipping rope plays an increasingly important role in daily life. In
rope‐skipping education, due to the lack of professional teachers, the training efficiency of …

High precision visual dimension measurement method with large range based on multi-prism and m-array coding

X Zhou, C Zhou, T Zhang, X Mou, J Xu, Y He - Sensors, 2022 - mdpi.com
The visual dimension measurement method based on non-splicing single lens has the
contradiction between accuracy and range of measurement, which cannot be considered …