Search Results for author: Winifred Ijomah

Found 2 papers, 0 papers with code

Nondestructive Testing of Composite Fibre Materials with Hyperspectral Imaging : Evaluative Studies in the EU H2020 FibreEUse Project

no code implementations4 Nov 2021 Yijun Yan, Jinchang Ren, Huan Zhao, James F. C. Windmill, Winifred Ijomah, Jesper de Wit, Justus von Freeden

Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture and chemical composition.

Activation Functions: Comparison of trends in Practice and Research for Deep Learning

no code implementations8 Nov 2018 Chigozie Nwankpa, Winifred Ijomah, Anthony Gachagan, Stephen Marshall

Deep neural networks have been successfully used in diverse emerging domains to solve real world complex problems with may more deep learning(DL) architectures, being developed to date.

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