LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.

XGBoost (eXtreme Gradient Boosting) has become one of the most popular and powerful machine learning libraries in the data science community. While many practitioners use XGBoost with its default ...

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 ...

DSA Visualizer is an interactive educational platform designed to help students and developers understand data structures and algorithms through visual learning. Each visualizer provides step-by-step ...

Abstract: In metropolitan areas, drivers share their vehicles with people who commute daily via carpooling. In this paper, we first defined a multiobjective carpool service problem with time windows ...

Abstract: Visual-based working condition recognition methods are pivotal in the froth flotation process. However, the high dimensionality of visual features generated by the feature extraction ...

There’s little doubt that some of the most important pillars of modern cryptography will tumble spectacularly once quantum computing, now in its infancy, matures sufficiently. Some experts say that ...

The significant obstacles faced by those suffering from spinal disc illnesses are beyond the average individual’s comprehension. Orthopedic problems happen frequently, not just among athletes but also ...

Web applications often include search functionalities to help users find relevant information or items quickly. By utilizing appropriate searching algorithms like Binary Search (applicable to sorted ...

Back pain is the leading cause of disability worldwide. Its emergence relates not only to the musculoskeletal degeneration biological substrate but also to psychosocial factors; emotional components ...

Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...