A hybrid deep learning and handcrafted feature approach for the prediction of protein structural class | Zendy

Rached Yagoubi | Zendy; Abdelouahab Moussaoui | Zendy; Mohamed Yagoubi | Zendy

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A hybrid deep learning and handcrafted feature approach for the prediction of protein structural class

Author(s) -

Rached Yagoubi,

Abdelouahab Moussaoui,

Mohamed Yagoubi

Publication year - 2022

Publication title -

computer science journal of moldova

Language(s) - English

Resource type - Journals

eISSN - 2587-4330

pISSN - 1561-4042

DOI - 10.56415/csjm.v30.06

Subject(s) - artificial intelligence , jackknife resampling , computer science , deep learning , classifier (uml) , machine learning , benchmark (surveying) , artificial neural network , similarity (geometry) , class (philosophy) , pattern recognition (psychology) , deep neural networks , feature (linguistics) , field (mathematics) , protein structure prediction , protein structure , mathematics , linguistics , statistics , philosophy , physics , geodesy , nuclear magnetic resonance , estimator , pure mathematics , image (mathematics) , geography

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