Discover how governments employ blockchain analytics to monitor and trace cryptocurrency transactions, enhancing transparency ...

Objectives This paper examines the differential impact of responsive parenting and nutrition interventions on early child ...

Background Azithromycin mass drug administration (MDA) to ages 1–59 months can reduce childhood mortality; however, more ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Discover how businesses and government agencies can use capital investment analysis to assess the potential of long-term ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Abstract: As wafer maps become increasingly complex and high-dimensional, conventional clustering methods often fail to uncover subtle but meaningful defect patterns critical for yield enhancement and ...

scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...

Abstract: Computational intelligence is increasingly applied to complex decision-making challenges, leveraging its data analysis prowess. Hybrid human–artificial intelligence models enhance the grasp ...

The final, formatted version of the article will be published soon. Abstract Objective To systematically evaluate cluster structure training (CS) and traditional training (TS) in enhancing athletes' ...