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Omneya Attallah

3 papers indexed

crossrefAI2026-07-24

A Compact Deep Learning Framework for Potato Leaf Disease Classification Across Controlled/Uncontrolled Environments

Omneya Attallah

Potato leaf disease poses a significant threat to global food security, causing substantial crop losses that jeopardise agricultural productivity and farmers’ livelihoods worldwide. Existing automated detection frameworks suffer from several persistent limitations, including over…

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crossrefMachine Learning and Knowledge Extraction2026-02-09

MERGE: Mammogram-Enhanced Representation via Wavelet-Guided CNNs for Computer-Aided Diagnosis of Breast Cancer

Omneya Attallah

The early and accurate identification of breast cancer is a significant healthcare issue, largely because the traditional machine learning approaches rely on handcrafted features that are unable to fully capture the spatial and textural complexity found in mammograms. Even with t…

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crossrefAI2025-04-14Cited by 10

Cross-Context Stress Detection: Evaluating Machine Learning Models on Heterogeneous Stress Scenarios Using EEG Signals

Omneya Attallah, Mona Mamdouh, Ahmad Al-Kabbany

Background/Objectives: This article addresses the challenge of stress detection across diverse contexts. Mental stress is a worldwide concern that substantially affects human health and productivity, rendering it a critical research challenge. Although numerous studies have inves…

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