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 ...
How much fresh water is in the United States? It's a tough question, since most of the water is underground, accessible at ...
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 ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback