The application of optimization theory and the algorithms that are generated from it has
increased along with science and technology's continued advancement. Numerous issues …

To address the shortcomings of traditional reliability theory in characterizing the stability of
deep underground structures, the advanced first order second moment of reliability was …

Data clustering is a fundamental technique in data mining, pivotal for various applications
such as statistical analysis and data compression. Traditional clustering algorithms often …

Purpose In order to overcome the limitation of external power supply and complex
maintenance of Magneto-Rheological (MR) damper, the MR damper with energy harvesting …

Hybrid robots featuring a 1T2R parallel mechanism as their primary structure play a crucial
role in on-site machining of large components. The end accuracy of these robots is a pivotal …

Within the domain of password security classification, the pursuit of practical and
dependable methodologies has prompted the examination of both biological and …

Data classification, a crucial practice in information management, involves categorizing data
based on its sensitivity to determine appropriate access levels and protection measures …

Abstract Android Malware Detection has become increasingly prevalent, with the highest
market share among all other mobile operating systems due to its open-source nature and …