Data clustering involves identifying latent similarities within a dataset and organizing them
into clusters or groups. The outcomes of various clustering algorithms differ as they are …

Nowadays, cybersecurity has grown into a more significant and difficult scientific issue. The
recog-nition of threats and attacks meant for knowledge and safety on the internet is growing …

Abstract Machine learning has profoundly transformed various industries, notably
revolutionizing the retail sector through diverse applications that significantly enhance …

The drug development process is a critical challenge in the pharmaceutical industry due to
its time-consuming nature and the need to discover new drug potentials to address various …

The primary goal of a power distribution system is to provide nominal voltages and power
with minimal losses to meet consumer demands under various load conditions. In the …

Ensuring cutting tools are in optimal condition is essential for achieving peak machining
performance, given their direct impact on both workpiece quality and process efficiency …

Metaheuristic algorithms are optimization methods that are inspired by real phenomena in
nature or the behavior of living beings, eg, animals, to be used for solving complex …

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The essential competitive advantages of aspect oriented programming (AOP) are that it
improves the maintainability and understandability of software applications by modularizing …

This paper explores the construction and practical application of Reduced Ordered Binary
Decision Diagrams (ROBDDs) and the NuSMV model checker. The study is divided into four …