Get started
Author

Attia Ghafoor

Observed name: Ghafoor, Attia
ORCID: 0009-0000-3828-6479
Observed ORCID: 0009-0000-3828-6479
OpenAlex ID: A5137864359
Trustworthy Explainable AI for Lettuce Growth Stage Prediction Using Sensor Data in Smart Agriculture
2026 · Muhammad Majid, Attia Ghafoor, et al. · Preprints.org
Counterfactual Digital Twins via Trustworthy and Causality-Aware Machine Learning Approach for Stroke Risk Prediction
2026 · Attia Ghafoor · Preprints.org
XAI-LiverSHAPNet: Trustworthy Explainable Ensemble Machine Learning Framework for Liver Disease Risk Stratification
2026 · Attia Ghafoor · Preprints.org
Honey yield prediction and neonicotinoid risk assessment utilizing a machine learning framework in smart agriculture
2026 · Attia Ghafoor, Muhammad Majid, et al. · Scientific Reports
PDF
Explainable VGG16 transfer learning with SHAP and grad-CAM for wax moth pest and infestation detection in honeybee apiaries using imaging data
2026 · Attia Ghafoor, Muhammad Majid, et al. · Scientific Reports
PyriCane: A Large-Scale Benchmark Image Dataset for Smart Agriculture-Based Pyrilla Pest Object Detection, Infestation Identification, and Developmental Stage Classification in Sugarcane Crops
2026 · Majid, Muhammad, Ghafoor, Attia, et al. · Zenodo (CERN European Organization for Nuclear Research)
HoneyNet: A Public Dataset for Binary and Multi-Stage Classification of Wax Moth Pest Infestation in Honeybee Apiaries
2026 · Ghafoor, Attia, Majid, Muhammad, et al. · Zenodo (CERN European Organization for Nuclear Research)
Image-Centric Deep Learning Ensemble Approach for Automated Wax Moth Infestation Detection in Honey Bee Apiaries
2026 · Attia Ghafoor, Muhammad Majid, et al. · IEEE Access
Works count: 8
Citation count:
H-index:
I10-index:
Year
Topic
Type