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Immersive virtual reality health games: a narrative review of game design
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 …
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 …
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
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 …
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
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 …
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
Credit risk prediction is a crucial task for financial institutions. The technological
advancements in machine learning, coupled with the availability of data and computing …
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
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 …
novel graph-to-sequence learning architecture with attention mechanism (AG2S-Net) is …
Machine learning-enhanced aircraft landing scheduling under uncertainties
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 …
hours during extreme scenarios. Develo** an efficient landing scheduling method is one …
Review analysis of ride-sharing applications using machine learning approaches: Bangladesh perspective
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 …
result of the growth of the Internet. Passengers increasingly focus on digital reviews to help …
A novel intelligent approach for flight delay prediction
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 …
systems that may spread throughout the whole aviation network and cause multi-billion …
[HTML][HTML] Optimizing HCV disease prediction in Egypt: The hyOPTGB framework
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 …
highest rates of HCV in the world. The high prevalence is linked to several factors, including …