Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be expensive and ...

The research, detailed in Scripta Materialia by senior author Ericmoore Jossou and colleagues, started as an effort to ...

Introduction to Algorithms, Fourth Edition — solutions to exercises and problems Overview The goal of this project is to provide solutions to all exercises and problems from Introduction to Algorithms ...

Introduction to Algorithms, Fourth Edition — solutions to exercises and problems Overview The goal of this project is to provide solutions to all exercises and problems from Introduction to Algorithms ...

Digital transformation is advancing rapidly in Latin America and the Caribbean, as noted in the Regional Human Development Report 2025, Under Pressure: Recalibrating the Future of Development, ...

This paper describes the adaptation of evolutionary algorithms (EAs) to the structural optimization of chemical engineering plants, using rigorous process simulation combined with realistic costing ...

My relatives didn’t get a vote when I added my genetic profile to a crime-fighting database.

Randomized algorithms, which are now ubiquitous because of their applications to cryptography; and Online algorithms, which are essential in fields as diverse as operating systems (caching, in ...