Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.

Such introductory courses typically cover multiple branches of AI, such as the fundamentals of AI, machine learning, neural ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

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 sectors ...

Our AI prediction tool used multiple LLMs to generate a XRP price target for September 1 while incorporating momentum-based indicators.

In this study, we introduce a hierarchical Gaussian process regression machine learning method that integrates prior knowledge to predict Tg for PIs with small-sample data sets. We employ RDKit for ...

This research presents a hybrid framework combining machine learning and cryptographic techniques for privacy-preserving spam email classification. Logistic Regression (LR) and Support Vector Machines ...