FIBERGLASS AS A NOVEL BUILDING MATERIAL: A LIFE CYCLE ASSESSMENT OF A PILOT HOUSE


Hologram Noise Model for Data Augmentation and Deep Learning

This paper introduces a noise augmentation technique designed to enhance the robustness of state-of-the-art (SOTA) deep learning models against degraded image quality, a common challenge in long-term recording systems.Our method, demonstrated through the classification of Drawing digital holographic images, utilizes a novel approach to synthesize a

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