Abstract: Data-driven nonlinear system modeling is essential for capturing complex dynamics in real-world applications. However, accurately modeling these systems often requires a significant amount ...

ST. PAUL, Minn., Aug. 26, 2025 /PRNewswire/ -- Today, Astrin Biosciences, the cancer intelligence company transforming detection and treatment via deep proteomics and AI, announced the appointment of ...

The handling of missing data in cognitive diagnostic assessment is an important issue. The Random Forest Threshold Imputation (RFTI) method proposed by You et al. in 2023 is specifically designed for ...

Introduction: Malignancies of the GI tract account for one-third of cancer-related deaths globally and more than 25% of all cancer diagnoses. The rising prevalence of GI tract malignancies and the ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...

This project uses a machine learning model based on the Random Forest algorithm to predict floods. The application is a web-based solution where users can interact with the model through a Node.js and ...

Abstract: The end ventilation structure of large nuclear generator is complex. The cooling medium will be affected by the disturbance effect, turbulence effect and local pressure change in the flow ...