IEEE

Python Code Smell Detection Using Machine Learning

Abstract: Python is an increasingly popular programming language used in various software projects and domains. Code smells in Python significantly influences the maintainability, understandability, ...
IEEE

Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance

Abstract: High Entropy Alloys (HEAs) are widely recognized for their excellent microstructure and properties, enhancing their effectiveness in surface modification through coatings techniques. These ...
BioSpace

Formation Bio

Formation Bio is a tech-driven pharma company differentiated by radically more efficient drug development. Formation Bio has built a technology platform that optimizes all aspects of drug development, ...
C&EN

New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach

Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, Fujian 361021, People’s Republic of China Fujian Key Laboratory of ...
Nature

Pre-manufacturing prediction of jaggery color formation through soil and water parameters using machine learning

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...