Semantic Web (SW) techniques, such as ontologies, are used in Information Systems (IS) to
cope with the growing need for sharing and reusing data and knowledge in various research …

The application of machine learning techniques in the field of tourism is experiencing a
remarkable growth, as they allow to propose efficient solutions to problems present in this …

Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

In this study, public opinion and emotions regarding different stages of the Covid-19
pandemic from the outbreak of the disease to the distribution of vaccines were analyzed to …

Early diagnosis is critical for the development and success of interventions, and
neuroimaging is one of the most promising areas for early detection of Alzheimer's disease …

Education for sustainable development (ESD) is a growing research field, particularly over
the last decade. Measuring the level of ESD that is currently embedded in curricula is useful …

Alzheimer's disease (AD) is the most generally known neurodegenerative disorder, leading
to a steady deterioration in cognitive ability. Deep learning models have shown outstanding …

Dementias that develop in older people test the limits of modern medicine. As far as
dementia in older people goes, Alzheimer's disease (AD) is by far the most prevalent form …

Online shop** for fashion products is a challenging process for consumers. Although
customers can facilitate purchasing, review content and helpful voting systems can be …

Purpose Grounded in the stakeholder theory and signaling theory, this study aims to
broaden the research agenda on environmental, social and governance (ESG) investing by …