Immersive virtual reality health games: a narrative review of game design

G Tao, B Garrett, T Taverner, E Cordingley… - … of NeuroEngineering and …, 2021 - Springer
Background High quality head-mounted display based virtual reality (HMD-VR) has become
widely available, spurring greater development of HMD-VR health games. As a behavior …

On the relevance of data science for flight delay research: a systematic review

L Carvalho, A Sternberg, L Maia Goncalves… - Transport …, 2021 - Taylor & Francis
Flight delays are a significant problem for society as they evenly impair airlines, transport
companies, air traffic controllers, facility managers, and passengers. Studying prior flight …

[HTML][HTML] A machine learning model for early detection of diabetic foot using thermogram images

A Khandakar, MEH Chowdhury, MBI Reaz… - Computers in biology …, 2021 - Elsevier
Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The
prevention of DFU may be achieved by the identification of patients at risk of DFU and the …

Improving flight delays prediction by develo** attention-based bidirectional LSTM network

M Mamdouh, M Ezzat, H Hefny - Expert Systems with Applications, 2024 - Elsevier
Recently, the significance of accurate aircraft delay forecasting has grown in the aviation
sector, which caused multi-billion-dollar losses faced by airlines and airports and passenger …

A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method

I Emmanuel, Y Sun, Z Wang - Journal of Big Data, 2024 - Springer
Credit risk prediction is a crucial task for financial institutions. The technological
advancements in machine learning, coupled with the availability of data and computing …

Graph to sequence learning with attention mechanism for network-wide multi-step-ahead flight delay prediction

J Bao, Z Yang, W Zeng - Transportation Research Part C: Emerging …, 2021 - Elsevier
The primary objective of this study is to predict network-wide multi-step-ahead flight delay. A
novel graph-to-sequence learning architecture with attention mechanism (AG2S-Net) is …

Machine learning-enhanced aircraft landing scheduling under uncertainties

Y Pang, P Zhao, J Hu, Y Liu - Transportation Research Part C: Emerging …, 2024 - Elsevier
Aircraft delays lead to safety concerns and financial losses, which can propagate for several
hours during extreme scenarios. Develo** an efficient landing scheduling method is one …

Review analysis of ride-sharing applications using machine learning approaches: Bangladesh perspective

T Islam, A Kundu, RJ Lima, MH Hena… - … and Modeling for …, 2023 - taylorfrancis.com
Technology and ride-sharing services have become more accessible and convenient as a
result of the growth of the Internet. Passengers increasingly focus on digital reviews to help …

A novel intelligent approach for flight delay prediction

M Mamdouh, M Ezzat, H A. Hefny - Journal of Big Data, 2023 - Springer
Flight delay prediction is one of the most significant components of intelligent aviation
systems that may spread throughout the whole aviation network and cause multi-billion …

[HTML][HTML] Optimizing HCV disease prediction in Egypt: The hyOPTGB framework

AM Elshewey, MY Shams, SM Tawfeek, AH Alharbi… - Diagnostics, 2023 - mdpi.com
The paper focuses on the hepatitis C virus (HCV) infection in Egypt, which has one of the
highest rates of HCV in the world. The high prevalence is linked to several factors, including …