Deep learning and higher degree F-transforms: interpretable kernels before and after learning

V Molek, I Perfilieva - International Journal of Computational Intelligence …, 2020 - Springer
One of the current trends in the deep neural network technology consists in allowing a man–
machine interaction and providing an explanation of network design and learning principles …

A density invariant approach to clustering

M Kashyap, M Bhattacharya - Neural Computing and Applications, 2017 - Springer
Organizing data into sensible groups is called as 'data clustering.'It is an open research
problem in various scientific fields. Neither a universal solution nor an absolute strategy for …

A face recognition algorithm based on convolutional neural network

T Ding, Y Huang - Revista Argentina de Clínica Psicológica, 2020 - search.proquest.com
In recent years, face recognition has emerged as a popular technique for human
recognition. The convolutional neural network (CNN) is a desirable tool for face recognition …

Forecasting operation times by using artificial intelligence

B Özcan, PY Kumru, A Fığlalı - International Advanced Researches …, 2018 - dergipark.org.tr
Due to increased competition, companies must reduce delivery and costs on time and
provide the desired product characteristics. This study was carried out in a firm that …