Little did I know my new job would now include intentionally misspelling words like “ut3rus,” “m3nstru@tion,” and “p3ri0d,” a ...

Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...

Estimation of Distribution Algorithms (EDAs) represent a class of population-based optimisation methods that replace traditional crossover and mutation operators with explicit probability modelling.

The authors note that, due to a production error, Figures 1–4 appeared in the incorrect order. Figure 1 should appear as Figure 2, Figure 2 should appear as Figure 3, Figure 3 should appear as Figure ...

In the event of an upstream grid fault, the Active Distribution Network (ADN) can switch to autonomous operation, coordinating controllable Distributed Generators (DGs) and Energy Storage Systems (ESS ...

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.

It’s hard to ignore the seismic shifts brought about by algorithm-driven content. Every time you scroll through your social media feed or check your favorite news app, algorithms are diligently at ...

Electricity affordability isn't a slogan; it's the scorecard. As distribution companies absorb electric vehicle (EV) load growth, aging assets, extreme weather and a decarbonizing grid, every ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...