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Predictive Maintenance: Leveraging Hybrid LSTM-CNN Architectures for Enhanced Performance

Predictive maintenance (PdM) is an essential pillar of Industry 4.0, aiming to reduce operational downtime, extend equipment life, and enhance cost efficiency. This thesis presents an in-depth study on the development, optimization, and evaluation of hybrid learning architecture CNN-LSTM models—for...

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Bibliographic Details
Main Author: El Sadeek, Kamal Mohamed
Format: Thesis
Published: AUC Knowledge Fountain 2025
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