Early diagnosis of Parkinson's disease: A combined method using deep learning and neuro-fuzzy techniques

M Nilashi, RA Abumalloh, SYM Yusuf, HH Thi… - … biology and chemistry, 2023 - Elsevier
Abstract Predicting Unified Parkinson's Disease Rating Scale (UPDRS) in Total-UPDRS and
Motor-UPDRS clinical scales is an important part of controlling PD. Computational …

Are students ready for robots in higher education? Examining the adoption of robots by integrating UTAUT2 and TTF using a hybrid SEM-ANN approach

F Suhail, M Adel, M Al-Emran, AA AlQudah - Technology in Society, 2024 - Elsevier
Robots have been heavily utilized in many industries, including education. However, the
determinants driving robot adoption for educational purposes, particularly in developing …

Facilitating conditions as the biggest factor influencing elementary school teachers' usage behavior of dynamic mathematics software in China

Z Yuan, J Liu, X Deng, T Ding, TT Wijaya - Mathematics, 2023 - mdpi.com
Dynamic mathematics software, such as GeoGebra, is one of the most important teaching
and learning media. This kind of software can help teachers teach mathematics, especially …

Purchasing intentions analysis of hybrid cars using random forest classifier and deep learning

AKS Ong, LNZ Cordova, FAB Longanilla… - World Electric Vehicle …, 2023 - mdpi.com
In developed or first-world countries, hybrid cars are widely utilized and essential in
technological development and reducing carbon emissions. Despite that, developing or third …

Psychological factors affecting potential users' intention to use autonomous vehicles

T Huang - PLoS one, 2023 - journals.plos.org
As a currently emerging technology and an emerging intelligent mode of transport,
autonomous vehicles (AVs) with lots of potential advantages need attention in terms of …

Human values and traveler behaviors: Metaverse for conferences and meetings

A Ariza-Montes, W Quan, A Radic, J Yu… - Journal of Travel & …, 2023 - Taylor & Francis
The main purpose of this article is testing the factors that influence the use of the metaverse
for conferences/meetings, the moderating effects of human values and the gender, and the …

Expanding the UTAUT2 framework to determine the drivers of mobile shopping behaviour among older adults

T Huang - Plos one, 2023 - journals.plos.org
In the current severe aging of the population, the problem of" digital divide" of the elderly has
become increasingly prominent, and the elderly market represents a vast demographic that …

Autonomous vehicles and consumer acceptance: a bibliometric analysis perspective

IGMY Bakti, S Sumaedi, M Yarmen, M Pandin… - Kybernetes, 2024 - emerald.com
Purpose Recently, autonomous vehicles (AV) acceptance has been studied intensively. This
paper aims to map and analyze the bibliometric characteristics of AV acceptance literature …

Exploring the association between socio‐demographic factors and public acceptance towards fully automated vehicles: Insights from a survey in Australia

Y Chen, N Shiwakoti, P Stasinopoulos… - IET Intelligent …, 2024 - Wiley Online Library
Fewer studies have investigated the factors affecting fully Automated Vehicles (AVs)
acceptance and their association with demographics and travel behaviour in the Australian …

Autonomous vehicles adoption motivations and tourist pro-environmental behavior: The mediating role of tourists' green self-image

S Mehmood, S Khan - Tourism Review, 2023 - emerald.com
Purpose This study aims to examine the impact of autonomous vehicles adoption
motivations (ie technological, ecological and intrinsic motivation) on tourists' pro …