Computational fluid dynamics (CFD) has been recognized as a great tool for simulation of complex fluid flow where the fluid flow in complex geometry can be simulated with great accuracy 1,2,3. The ...

Abstract: The extensive user engagement on YouTube leads to a flood of comments, creating challenges for content creators who aim to understand audience sentiment. Previous studies have mainly ...

In this paper, a modified version of Dwarf Mongoose Optimization Algorithm (DMO) for feature selection is proposed. DMO is a novel technique of the swarm intelligence algorithms which mimic the ...

Healthcare wearables allow researchers to develop various system approaches that recognize and understand the human emotional experience. Previous research has indicated that machine learning ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the price of a particular make and model of a used car based on its ...

Cellpypes uses the popular piping operator %>% to manually annotate cell types in single-cell RNA sequencing data. It can be applied to UMI data (e.g. 10x Genomics). All major cell types are annotated ...

Relationships are complicated. Individual features and the influence of other people can determine the fate of friendships. However, how rigorously can these effects be quantified? We have collected ...

🐥 Easy-to-use: a simple API is designed to be used with Python. It is easy to use and intuitive to set up to production. 🐎 Fast: the library uses a highly optimized approximate nearest neighbor ...

There has been recent immense interest in the use of machine learning techniques in the prediction and screening of atrial fibrillation, a common rhythm disorder present with significant clinical ...

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, ...