Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Abstract: This research aims to develop a model that utilizes technology to assess the level of financial hardship in companies in Indonesia. Over the period 2013 to 2023, 324 companies from various ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A new technical paper titled “Thermo-mechanical co-design of 2.5D flip-chip packages with silicon and glass interposers via ...
ABSTRACT: Accurate land cover classification is essential for environmental monitoring, urban planning, and resource management. Conventional classifiers trained on raw spectral bands are often ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...
Abstract: Heart disease remains one of the leading causes of death worldwide, making early prediction essential for treatment and prevention. This study applies machine learning techniques, ...
The IUCN Forest and Grasslands Team invites all interested International Model Forest Network (IMFN) partners, stakeholders, and community members to submit their stories for inclusion on the PANORAMA ...
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