Serious games and gamification in healthcare: a meta-review
A serious game is a type of game that is designed for a primary purpose other than
entertainment. Instead, serious games are intended to achieve specific goals, such as …
entertainment. Instead, serious games are intended to achieve specific goals, such as …
Predicting crime and other uses of neural networks in police decision making
S Walczak - Frontiers in Psychology, 2021 - frontiersin.org
Neural networks are a machine learning method that excel in solving classification and
forecasting problems. They have also been shown to be a useful tool for working with big …
forecasting problems. They have also been shown to be a useful tool for working with big …
[HTML][HTML] Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review
Background: Artificial intelligence (AI)–driven serious games have been used in health care
to offer a customizable and immersive experience. Summarizing the features of the current …
to offer a customizable and immersive experience. Summarizing the features of the current …
Enhancing tuberculosis treatment adherence and motivation through gamified real-time mobile app utilization: a single-arm intervention study
Background Finding innovative methods to enhance Tuberculosis treatment adherence in
Malaysia is imperative, given the rising trend of non-adhere TB patients. Direct Observed …
Malaysia is imperative, given the rising trend of non-adhere TB patients. Direct Observed …
A machine learning ensemble approach to predicting factors affecting the intention and usage behavior towards online groceries applications in the Philippines
The emergence of e-commerce platforms, especially online grocery shopping, is heightened
by the COVID-19 pandemic. Filipino consumers started to adapt online due to the strict …
by the COVID-19 pandemic. Filipino consumers started to adapt online due to the strict …
Histopathology image segmentation using MobileNetV2 based U-net model
A Kanadath, JAA Jothi… - … Conference on Intelligent …, 2021 - ieeexplore.ieee.org
Histopathology image segmentation is a significant step in the early detection of diseases.
Compared to traditional segmentation methods, deep learning models provide better …
Compared to traditional segmentation methods, deep learning models provide better …
[Retracted] Forecasting Foreign Direct Investment Inflow to Egypt and Determinates: Using Machine Learning Algorithms and ARIMA Model
MF Abd El-Aal, A Algarni, A Fayomi… - Journal of Advanced …, 2021 - Wiley Online Library
This study aims to determine the primary determination of FDI inflow to Egypt using machine
learning algorithms and the ARIMA model and get an accurate prediction of FDI inflow to …
learning algorithms and the ARIMA model and get an accurate prediction of FDI inflow to …
Big Data classification: techniques and tools
An enormous volume of data, known as Big Data, of varied properties, is continuously being
generating from several sources. For efficient and consequential use of this huge amount of …
generating from several sources. For efficient and consequential use of this huge amount of …
[PDF][PDF] Serious games and Gamification in Healthcare: a Meta-review. Information. 2023; 14: 105
R Damaševičius, R Maskeliūnas, T Blažauskas - 2023 - eclass.hmu.gr
A serious game is a type of game that is designed for a primary purpose other than
entertainment. Instead, serious games are intended to achieve specific goals, such as …
entertainment. Instead, serious games are intended to achieve specific goals, such as …
[PDF][PDF] Forecasting of Transportation-related CO2 Emissions in Canada with Different Machine Learning Algorithms.
R Abdulmalik, G Srivastava - Adv. Artif. Intell. Mach. Learn., 2023 - oajaiml.com
The amount of carbon dioxide in the atmosphere has risen over recent years, with a growth
of over 40%. This study examines transportation-related carbon dioxide (CO2) emissions in …
of over 40%. This study examines transportation-related carbon dioxide (CO2) emissions in …