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A. Jaffar

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Sep 2026

FruScab-E3Net: A Deep Learning Ensemble Framework for Scab Disease Detection and Classification in Fruits

FruScab-E3Net, a Vision Transformer (ViT)-based method that employs a convolutional neural network (CNN), specifically a transfer learning model based on ResNet50, demonstrates better ability in capturing disease-relevant features for a reliable and rapid diagnosis of scab disease.

Tamoor Khan, Sheeraz Akram, A. Jaffar et al. · 0 citations
Open access 2026

RP-IoMT: A Robust and Provable Framework for Federated Learning Privacy-Preserving Intelligence in Healthcare IoMT

RP-IoMT is proposed, a robust and privacy-preserving FL framework that integrates secure multi-party computation (MPC), zero-knowledge proof-based gradient verification, and robust aggregation mechanisms to ensure both the correctness and integrity of model updates while maintaining strong privacy guarantees in adversa...

M. Ilyas, S. Bhatti, Ghazanfar Latif et al. · 0 citations

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