This paper presents a comparison of seven well known meta-heuristic techniques to obtain optimal threshold for multilevel thresholding problem: wind driven optimization, grey wolf optimization, ...

Accordingly, a computationally-efficient arctangent regularization iterative thresholding (ARIT) algorithm for sparse approximation is proposed. Furthermore, we theoretically prove that under certain ...

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).