Muhammed Fahri Ünlerşen

CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection

Muhammet Fatih Aslan, Muhammed Fahri Ünlerşen, Kadir Sabancı et al. · Applied Soft Computing · 2020 · 350 citations · Full text

Viral Diagnostics, Covid-19 Pandemic, Immunology +6

A CNN-SVM study based on selected deep features for grapevine leaves classification

Murat Köklü, Muhammed Fahri Ünlerşen, İlker Ali Özkan et al. · Measurement · 2021 · 174 citations · Full text

Deep Features, Support Vector Machine, Convolutional Neural Network +8

A convolutional neural network<scp>‐based</scp> comparative study for pepper seed classification: Analysis of selected deep features with <scp>support vector machine</scp>

Kadir Sabancı, Muhammet Fatih Aslan, Ewa Ropelewska et al. · Journal of Food Process Engineering · 2021 · 72 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +20

CNN–SVM hybrid model for varietal classification of wheat based on bulk samples

Muhammed Fahri Ünlerşen, Mesut Ersin Sönmez, Muhammet Fatih Aslan et al. · European Food Research and Technology · 2022 · 46 citations · Full text

A Novel Convolutional-Recurrent Hybrid Network for Sunn Pest–Damaged Wheat Grain Detection

Kadir Sabancı, Muhammet Fatih Aslan, Ewa Ropelewska et al. · Food Analytical Methods · 2022 · 44 citations · Full text