Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...
A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.
Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
This Visual Studio Code extension helps you navigate and organize your codebase based on functionality rather than just files. Using special comments to tag related code sections across multiple files ...
Abstract: This study utilizes decision tree and logistic regression models to explore the factors contributing to medical claim denials and identify areas for improvement. We adapt undersampling ...
Abstract: Inclusion in education is critical to achieving Sustainable Development Goal 4, which ensures equitable education for all. This study explores the application of decision tree algorithms to ...
Abstract: The rising rate of dropout and delayed graduation among the undergraduate students in the Chinese universities is a big challenge to institutions of higher learning. This paper will seek to ...
Abstract: With the development of mobile communication networks and 5G technology, along with the increasing number of global mobile device users, the accuracy and transmission stability of ...
A recently filed lawsuit claims the ratings assigned by A.I. screening software are similar to those of a credit agency and should be subject to the same laws. By Stacy Cowley For millions of ...
Abstract: This paper introduces a cooperative and decentralized collision avoidance algorithm (CoDe) for small-scale UAV swarms consisting of up to three UAVs. CoDe improves energy efficiency of UAVs ...
Abstract: This study aims to classify anxiety disorders in adolescents using three machine learning algorithms, namely naive bayes, C4.5, and K-Nearest Neighbor (K-NN). The data used was taken from ...