most citedCEEMDAN-Based Multiscale CNN for Wind Turbine Gearbox Fault Detection

3 citations

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3 papers

cs.CV2026

Hybrid Deep Feature Extraction and ML for Construction and Demolition Debris Classification

Obai Alashram, Nejad Alagha, Mahmoud AlKakuri +2

The construction industry produces significant volumes of debris, making effective sorting and classification critical for sustainable waste management and resource recovery. This…

cs.LG2026★ 3 cited

CEEMDAN-Based Multiscale CNN for Wind Turbine Gearbox Fault Detection

Nejad Alagha, Anis Salwa Mohd Khairuddin, Obada Al-Khatib +1

Wind turbines play a critical role in the shift toward sustainable energy generation. Their operation relies on multiple interconnected components, and a failure in any of these ca…

cs.LO2002

Sierpinski Gaskets for Logic Functions Representation

Denis V. Popel, Anita Dani

This paper introduces a new approach to represent logic functions in the form of Sierpinski Gaskets. The structure of the gasket allows to manipulate with the corresponding logic e…