The evolution of data gathering static and mobility models in underwater wireless sensor networks: a survey

O Gupta, N Goyal - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Underwater communication in underwater wireless sensor network (UWSN) is an emergent
advance terminology for the discovery and monitoring of underwater resources and aquatic …

[HTML][HTML] LAP-IoHT: A lightweight authentication protocol for the internet of health things

CM Chen, Z Chen, S Kumari, MC Lin - Sensors, 2022 - mdpi.com
The Internet of Health Things (IoHT), which is an extension of the Internet of Things (IoT) in
healthcare, has provided a new type of telemedicine approach. In IoHT, wearable sensors …

[HTML][HTML] The application of artificial intelligence assistant to deep learning in teachers' teaching and students' learning processes

Y Liu, L Chen, Z Yao - Frontiers in Psychology, 2022 - frontiersin.org
With the emergence of big data, cloud computing, and other technologies, artificial
intelligence (AI) technology has set off a new wave in the field of education. The application …

An intelligent scheme for big data recovery in Internet of Things based on multi-attribute assistance and extremely randomized trees

H Cheng, Y Shi, L Wu, Y Guo, N Xiong - Information Sciences, 2021 - Elsevier
Due to the inherent characteristics of sensor nodes in Internet of Things, such as constrained
energy, data redundancy, limited communication range and computing capabilities, the data …

Examining the influence of the performance of mobile devices on teaching quality based on the technological acceptance mode

X Chen, R Chen - Library Hi Tech, 2024 - emerald.com
Purpose This study aims to examine the effects of iPad distribution on all teachers in a
university and its application in teaching and student learning at home via wireless network …

[HTML][HTML] Integration of machine learning and hydrodynamic modeling to solve the extrapolation problem in flood depth estimation

HD Nguyen, DK Dang, NY Nguyen… - Journal of Water and …, 2024 - iwaponline.com
Flood prediction is an important task, which helps local decision-makers in taking effective
measures to reduce damage to the people and economy. Currently, most studies use …

[HTML][HTML] Research on the state of blended learning among college students–A mixed-method approach

C Deng, J Peng, SF Li - Frontiers in Psychology, 2022 - frontiersin.org
In the wake of the COVID-19 pandemic in 2019, China's education leaders began to focus
on and promote blended learning. The process is still in its infancy in Chinese colleges and …

The effect of student self-efficacy on learning outcomes in a business simulation mobile game: a quasi-experimental study

Q Yang, Q Chen, J Wang, R Ou - Library Hi Tech, 2024 - emerald.com
Purpose This study has two objectives: to explore the factors that influence student self-
efficacy regarding engagement and learning outcomes in a business simulation game …

The relation between players' motivation, virtual communities and stickiness in augmented reality games

R Zhang - Library Hi Tech, 2024 - emerald.com
Purpose The purpose of this research was to explore the stickiness of players' motivation in
a virtual community and to explore the important factors for gamers. Design/methodology …

[HTML][HTML] The Effectiveness of Augmented Reality in Physical Sustainable Education on Learning Behaviour and Motivation

L Liang, Z Zhang, J Guo - Sustainability, 2023 - mdpi.com
This research explores the integration of information technology into physical education and
uses augmented reality (AR) as an auxiliary tool to explore the impact of this teaching mode …