3 papers
cs.CV2026
NeoJaundice-AI: Smartphone-Based Neonatal Jaundice Detection Using Dual-Input Deep Learning and Synthetic Augmentation
Rahul Patel, Nirjala Jarpula
Neonatal jaundice (hyperbilirubinemia) is one of the most common conditions affecting newborns worldwide, with India alone recording roughly 15 million cases per year. Early detect…
cs.CV2026
AnemiaVision: Non-Invasive Anemia Detection via Smartphone Imagery Using EfficientNet-B3 with TrivialAugmentWide, Mixup Augmentation, and Persistent Patient History Management
Rahul Patel
Anemia affects over one billion people globally and remains severely under-diagnosed in low-resource regions where laboratory blood tests are inaccessible. This paper presents Anem…
cs.SE2026
The Last APK: Retiring Android SDK Development for Institutional Software Using Python-Django, HTMX, and a WebView Bridge
Rahul Patel
The assumption that mobile enterprise software requires native Android SDK development has persisted for over a decade, but for institutional deployments, this assumption is not me…