In this study, we explore a hybrid non-orthogonal multiple access and time division multiple access (NOMA-TDMA) approach designed to maximize sum throughput in a wireless powered Internet of Things ...

About 🔧 High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).

In our approach, each learner’s context information, as well as performance metrics, preferences and learning goals, are dynamic and fed into the GA. The algorithm genetically generates a random vote ...

animal-behavior-analysis is a Python repository to analyze animal behavior in an unsupervised fashion. It uses UMAP dimensionality reduction and watershed segmentation to classify preprocessed animal ...