By editing the polymers of discarded plastics, chemists have found a way to generate new macromolecules with more valuable properties than those of the starting material. Upcycling may help remedy the ...

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

Happy Hare now provides a moonraker gcode preprocesser that parses uploaded gcode files prior to storage and can insert useful metadata that can then be passed into your START_PRINT macro to provide ...

This Research Topic is part of a series: Volume I. Conversion-ready feedstocks refer to industrial-scale feedstock resources with chemical and physical properties that meet the design specifications ...

Abstract: This work investigates the challenges of sentiment analysis for Moroccan Arabic dialect (MD), where the lack of dialect-specific preprocessing methods complicates natural language processing ...

Binjumah, W. (2025) A Conceptual Model for Improving Perovskite Solar Cells Efficiency Using Machine Learning. International ...

Votebeat is a nonprofit news organization reporting on voting access and election administration across the U.S. Sign up for ...

At first glance, machine learning might seem mysterious, but it’s built on a logical foundation. Let’s explore how each step ...