Method and evaluations of the effective gain of artificial intelligence models for reducing CO2 emissions
P Delanoë, D Tchuente, G Colin - Journal of environmental management, 2023 - Elsevier
Nowadays, there is an increasing use of digital technologies and Artificial Intelligence (AI)
such as Machine Learning (ML) models that leverage data to optimize the performances of …
such as Machine Learning (ML) models that leverage data to optimize the performances of …
The viability of supply chains with interpretable learning systems: The case of COVID-19 vaccine deliveries
S Zaoui, C Foguem, D Tchuente… - Global Journal of …, 2023 - Springer
The main objective of this research was to examine the instrumental role played by
interpretable learning systems, specifically artificial intelligence (AI) technologies, in …
interpretable learning systems, specifically artificial intelligence (AI) technologies, in …
[HTML][HTML] Spatiotemporal analysis of bike-share demand using DTW-based clustering and predictive analytics
This paper investigates bike-share activities and explores their relationships with
neighborhood features, advancing our current knowledge for integrating cycle facilities into …
neighborhood features, advancing our current knowledge for integrating cycle facilities into …
Patient adherence in healthcare operations: A narrative review
Patient nonadherence to healthcare providers' recommendations is a major obstacle to
desired health outcomes. It results in health deterioration and hospitalization, which might …
desired health outcomes. It results in health deterioration and hospitalization, which might …
Evaluating the impact of a linguistically and culturally tailored social media ad campaign on COVID-19 vaccine uptake among indigenous populations in Guatemala: a …
LA Miguel, E Lopez, K Sanders, NA Skinner… - BMJ open, 2022 - bmjopen.bmj.com
Objectives To evaluate the impact of culturally and linguistically tailored informational videos
delivered via social media campaigns on COVID-19 vaccine uptake in Indigenous Maya …
delivered via social media campaigns on COVID-19 vaccine uptake in Indigenous Maya …
The role of cryptocurrencies in predicting oil prices pre and during COVID-19 pandemic using machine learning
This study aims to explore the role of cryptocurrencies and the US dollar in predicting oil
prices pre and during COVID-19 pandemic. The study uses three machine learning models …
prices pre and during COVID-19 pandemic. The study uses three machine learning models …
Developing an evidence-based TISM: an application for the success of COVID-19 Vaccination Drive
The study illustrates an application of evidence data for performing Total Interpretive
Structural Modeling (TISM). TISM is widely used to analyze the critical success factors or …
Structural Modeling (TISM). TISM is widely used to analyze the critical success factors or …
Statin Twitter: Human and Automated Bot Contributions, 2010 to 2022
Background Many individuals eligible for statin therapy decline treatment, often due to fear
of adverse effects. Misinformation about statins is common and drives statin reluctance, but …
of adverse effects. Misinformation about statins is common and drives statin reluctance, but …
[PDF][PDF] Sentiment analysis on COVID-19 vaccine tweets using machine learning and deep learning algorithms
Language Processing) is to analyze a sentiment or opinion of the text considered. In this
research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 …
research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 …
Exploring drivers of eco-innovation in manufacturing firms' circular economy transition: an awareness, motivation, capability perspective
Considering the crucial role of eco-innovation in the circular economy (CE) transition, the
burgeoning literature from multiple disciplines explores factors that drive pro-CE eco …
burgeoning literature from multiple disciplines explores factors that drive pro-CE eco …