Article

Optimizing Mobile Dermatological Analysis via Synthetic Data and Hardware-Aware Neural Architecture Search

2026-03-20

Abstract excerpt

This paper presents a rigorous, mathematically grounded framework for deploying high-fidelity dermatological classification and biometric analysis directly on resource-constrained mobile hardware. Addressing the fundamental trilemma of data scarcity, computational latency, and privacy in mHealth applications, we introduce a novel hybrid learning pipeline. We formulate a robust approach utilizing Generative Adversa...

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Literature Corpus work: ffba8715-0043-5cf1-a62d-c324bcb7b865
DOI: 10.22541/au.177403188.87449455/v1

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