LEVERAGING GENERATIVE ADVERSARIAL NETWORKS FOR DATA AUGMENTATION TO IMPROVE FAULT DETECTION IN WIND TURBINES WITH IMBALANCED DATA

Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data

In the realm of modern power systems, wind turbines (WTs) have gained significant environmental advantages, making them pivotal in the expanding landscape of wind power generation.The paramount task of ensuring the effective monitoring and fault classification of WTs is indispensable for the stability of wind farm systems.Nevertheless, a formidable

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Nexus fermions in topological symmorphic crystalline metals

Abstract Topological metals and semimetals (TMs) have recently drawn significant interest.These materials give rise to condensed matter realizations of many important concepts in high-energy physics, leading to wide-ranging protected properties in transport and spectroscopic experiments.It has been well-established that the known TMs can be classif

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Strengthening liability for unauthorised abandonment of a military unit or place of service in the light of current criminal law issues

The norm of criminal law in the part of crimes against the established procedure of military service, namely, unauthorized abandonment of a military unit or place of service, has been considered.The chronology of the formation of bushranger awning Article 407 of the Criminal Code of Ukraine has been characterized, the acquired changes, in particula

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