5 Mar 2026Open access
An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extractionPublisher siteScientific Reports, Smart Agriculture and AI
Active, last published 2026
7
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285
Citations
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01 · About the work
What I study
research summary for Nermeen Gamal Rezk will appear here once their profile is updated.
02 · Reach
Publication output and reach
Nermeen's work has been cited 285 times across 7 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
04 · Where I am
Affiliations
Affiliation on published researchKafrelsheikh University, EgyptDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
14 works30 Jul 2025Open access4cites
An efficient IoT-based crop damage prediction framework in smart agricultural systemsPublisher siteScientific Reports, Smart Agriculture and AI
2 Jul 2025
Accurate multi-phase unsupervised and supervised approach to fault detection in power transmission networksPublisher siteNeural Computing and Applications, Power Systems Fault Detection
29 Mar 2025Open access10cites
Explainable AI for Chronic Kidney Disease Prediction in Medical IoT: Integrating GANs and Few-Shot LearningPublisher siteBioengineering, Artificial Intelligence in Healthcare
6 Mar 2025Open access9cites
Secure Hybrid Deep Learning for MRI-Based Brain Tumor Detection in Smart Medical IoT SystemsPublisher siteDiagnostics, Brain Tumor Detection and Classification
11 Dec 2024Open access1cites
Sustainable Air Quality Detection Using Sequential Forward Selection-Based ML AlgorithmsPublisher siteSustainability, Air Quality Monitoring and Forecasting
5 Dec 2024Open access12cites
EWAIS: An Ensemble Learning and Explainable AI Approach for Water Quality Classification Toward IoT-Enabled SystemsPublisher siteProcesses, Hydrological Forecasting Using AI
12 Oct 2024Open access27cites
XAI-Augmented Voting Ensemble Models for Heart Disease Prediction: A SHAP and LIME-Based ApproachPublisher siteBioengineering, Explainable Artificial Intelligence (XAI)
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