A survey on the metaverse: The state-of-the-art, technologies, applications, and challenges

H Wang, H Ning, Y Lin, W Wang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In recent years, the concept of the Metaverse has attracted considerable attention. This
article provides a comprehensive overview of the Metaverse. First, the development status of …

[HTML][HTML] Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions

IH Sarker - SN computer science, 2021 - Springer
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …

Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface

AM Roy - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …

A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

A novel transfer learning based approach for pneumonia detection in chest X-ray images

V Chouhan, SK Singh, A Khamparia, D Gupta… - Applied Sciences, 2020 - mdpi.com
Pneumonia is among the top diseases which cause most of the deaths all over the world.
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …

Interface, interaction, and intelligence in generalized brain–computer interfaces

X Gao, Y Wang, X Chen, S Gao - Trends in cognitive sciences, 2021 - cell.com
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …

A survey on video-based human action recognition: recent updates, datasets, challenges, and applications

P Pareek, A Thakkar - Artificial Intelligence Review, 2021 - Springer
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review

M Rashid, N Sulaiman, A PP Abdul Majeed… - Frontiers in …, 2020 - frontiersin.org
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …

X Gu, Z Cao, A Jolfaei, P Xu, D Wu… - … /ACM transactions on …, 2021 - ieeexplore.ieee.org
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …

Adaptive transfer learning for EEG motor imagery classification with deep convolutional neural network

K Zhang, N Robinson, SW Lee, C Guan - Neural Networks, 2021 - Elsevier
In recent years, deep learning has emerged as a powerful tool for develo** Brain–
Computer Interface (BCI) systems. However, for deep learning models trained entirely on the …