Abstract: To improve the optimization effect of the crayfish optimization algorithm. This paper proposes a singer chaotic map and population evolution improved crayfish optimization algorithm (ICOA).

(THE CONVERSATION) Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to solve basic math problems – such as lining up numbers to ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: The main purpose of feature selection (FS) is to reduce the data dimension and reduce the classification error rate. Therefore, it can be regarded as a ...

Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database ...

A web-based Event Scheduling System that uses a Greedy Algorithm to schedule the maximum number of non-overlapping events across multiple venues. Built with Java (backend) and HTML/CSS/JS (frontend), ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Antimicrobial peptides (AMPs) have emerged as a promising alternative to conventional ...