Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

This new mathematical formula, the maximum agreement linear predictor or MALP, could help cutting-edge scientists reach even ...

Their study presents a new combination of computational tools that merges the Chinese Pangolin Optimizer (CPO) with the ...

Learners who wish to receive a certificate must register for the exam scheduled on April 17, 2026, which will be conducted in two sessions - 9:30 am to 12:30 pm and 2 pm to 5 pm ...

This project presents an R Shiny web application designed for comprehensive data analysis and regression modeling of adhesive bond damage tolerance data. The dashboard allows users to upload their CSV ...

Background Cancer survivors have an increased risk of heart failure, but this is balanced by the risk of death from other ...

Open-Source Hybrid Large Language Model Integrated System for Extraction of Breast Cancer Treatment Pathway From Free-Text Clinical Notes Federated learning (FL) enables multi-institutional predictive ...

Abstract: Global agriculture is facing major challenges such as food security, sustainable water management, and the preservation of natural resources. Water scarcity, exacerbated by climate change, ...

This eBook places the focus on the effective design of motion control solutions for industrial machinery. Learn about applications in Cartesian robots, or long-travel linear robots, where the ...