Wildfires are becoming more frequent and intense on a global scale, raising concerns about
their acute and long-term effects on human health. We conducted a systematic review of the …

Artificial intelligence (AI) refers to the field of computer science theory and technology [1] that
is focused on creating intelligent machines capable of simulating human intelligence [2]. AI …

This study focuses on using Machine Learning methods to predict wildfires within
California's Central Valley. The specific areas within the Central Valley were Yosemite …

Objectives To facilitate the stratification of patients with osteoarthritis (OA) for new treatment
development and clinical trial recruitment, we created an automated machine learning …

This study presents an enhanced model for assessing bushfire risks in Victoria, Australia, by
integrating scale division, factor analysis, and geographic information system (GIS) …

Wildfires have significant impacts on global vegetation, wildlife, and humans. They destroy
plant communities and wildlife habitats and contribute to increased emissions of carbon …

Wildfires pose a serious threat to ecosystems and human safety, and with the backdrop of
global climate change, the prediction of forest fires has become increasingly important …

Forest fires, as severe natural disasters, pose significant threats to ecosystems and human
societies, and their spread is characterized by constant evolution over time and space. This …

Wildfires generate substantial smoke containing fine particulate matter (PM2. 5) that
adversely impacts health. This study develops machine learning models integrating pre …

Chronic Obstructive Pulmonary Disease (COPD) is a prevalent respiratory condition that
requires accurate assessment for effective management. The paper proposes a novel …