INTERPRETABLE MACHINE LEARNING ANALYSIS OF STRESS CONCENTRATION IN MAGNESIUM: AN INSIGHT BEYOND THE BLACK BOX OF PREDICTIVE MODELING

Interpretable Machine Learning Analysis of Stress Concentration in Magnesium: An Insight beyond the Black Box of Predictive Modeling

In the present work, machine learning (ML) was employed to build a model, and through it, the microstructural features (parameters) affecting the stress concentration (SC) during plastic deformation of magnesium (Mg)-based materials are determined.As a descriptor for the SC, the kernel average misorientation (KAM) was used, and starting from the mi

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The essence of political parties as a tool of state administration

The social differentiation of society, its division into a huge number of social groups, each of which has specific economic, cultural and other interests, creates a need for representation and consideration of these interests in public administration courses.It is about establishing stable communication channels between society and the state.One o

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Hybridizing flower pollination algorithm with particle swarm optimization for enhancing the performance of IPv6 intrusion detection system

Internet Protocol version 6 (IPv6) is the most lintusakset recent iteration of IP, designed to accommodate hundreds of thousands of devices with unique IP addresses.IPv6 introduces new features, such as the Neighbor Discovery Protocol (NDP) and Address Auto-configuration Scheme.For its effective operation, IPv6 relies on several protocols, includin

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