Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

Businesses base decisions on their current and future data. To steer a company in the right direction, leaders should maintain data integrity.

This paper explores the evolving landscape of data security in artificial intelligence (AI) environments and provides practical guidance aligned with the Cloud Security Alliance (CSA) AI Controls ...

Abstract: This study presents a novel data preprocessing framework to enhance pig behavior analysis using machine learning techniques. We address the critical issue of data leakage in time series data ...

We often hear that “Who remembers the one who comes second?” The term ‘secondary’ is often associated with something less important, isn’t it? But today I tell you the importance of secondary in today ...

Here we present example workflows to perform a large scale untargeted metabolomics LC-MS/MS data preprocessing for molecular networking analysis using GNPS. The data set is described in Nothias, L.F.

Abstract: This study is based on the application of a real-measured data preprocessing method using data augmentation techniques. In response to the scarcity of sample data in the fields of ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

ABSTRACT: This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...