Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Two studies led by Johns Hopkins Kimmel Cancer Center, Ludwig Center, and Johns Hopkins Whiting School of Engineering researchers report on a powerful new method that significantly improves the ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...

A research team led by scientists from Qatar’s University of Doha for Science and Technology investigated the optimization of bifacial PV panels in a residential setting, focusing on maximizing ...

“These are just two examples of how structural demand estimation complies with increasingly stringent legal standards.” In patent damages calculations, an expert generally faces the task of comparing ...

ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...

In the search for more sustainable uses of cellulose, scientists have developed a production method for a nanofibrous cellulose matrix, which has the potential to replace non-renewable industrial even ...