Author

Ahmed Tageldin

Technical University of Munich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

D. AdlyiD· 1 shared Haitham S. MohammediD· 1 shared Hassan MostafaiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

D. AdlyORCID

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1 paper

Recent·Most cited

Applying Machine Learning Technology in the Prediction of Crop Infestation with Cotton Leafworm in Greenhouse

Ahmed Tageldin, D. Adly, Hassan Mostafa, Haitham S. Mohammed

This study uses machine learning to predict cotton leafworm infestation in greenhouses, finding XGBoost achieves 84% accuracy by analyzing environmental data.

bioRxiv · Sep 17, 2020 · PreprintBioinformatics