Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms MM Ozguven, K Adem Physica A: statistical mechanics and its applications 535, 122537, 2019 | 299 | 2019 |
Classification and diagnosis of cervical cancer with softmax classification with stacked autoencoder K Adem, S Kilicarslan, O Comert Expert Systems with Applications 115, 557-564, 2019 | 198* | 2019 |
Exudate Detection for Diabetic Retinopathy with Circular Hough Transformation and Convolutional Neural Networks K Adem Expert Systems with Applications 114, 289-295, 2018 | 136 | 2018 |
Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network S Kilicarslan, K Adem, M Celik Medical hypotheses 137, 109577, 2020 | 102 | 2020 |
DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS MK Yöntem, K Adem, T İlhan, S Kılıçarslan Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi 9 (1), 259-273, 2019 | 64 | 2019 |
A sugar beet leaf disease classification method based on image processing and deep learning K Adem, MM Ozguven, Z Altas Multimedia Tools and Applications 82 (8), 12577-12594, 2023 | 50 | 2023 |
Diagnosis of breast cancer with Stacked autoencoder and Subspace kNN K Adem Physica A: Statistical Mechanics and its Applications 551, 124591, 2020 | 49 | 2020 |
An overview of the activation functions used in deep learning algorithms S KILIÇARSLAN, K Adem, M Çelik Journal of New Results in Science 10 (3), 75-88, 2021 | 47 | 2021 |
Detection of hemorrhage in retinal images using linear classifiers and iterative thresholding approaches based on firefly and particle swarm optimization algorithms K Adem, M Hekim, S Demir Turkish Journal of Electrical Engineering and Computer Sciences 27 (1), 499-515, 2019 | 40 | 2019 |
Impact of activation functions and number of layers on detection of exudates using circular Hough transform and convolutional neural networks K Adem Expert Systems with Applications 203, 117583, 2022 | 32 | 2022 |
Defect detection of seals in multilayer aseptic packages using deep learning K Adem, C Közkurt Turkish Journal of Electrical Engineering and Computer Sciences 27 (6), 4220 …, 2019 | 30 | 2019 |
Detection and classification of microcalcifications in mammograms images using difference filter and Yolov4 deep learning model AA Yurdusev, K Adem, M Hekim Biomedical Signal Processing and Control 80, 104360, 2023 | 28 | 2023 |
aive Bayes Yönteminde Olasılık Çarpanlarının Etkileri The Effects of Probability Factors in aive Bayes Method U Orhan, K Adem Ionosphere 351, 34, 2012 | 23* | 2012 |
Performance Analysis of Optimization Algorithms on Stacked Autoencoder K ADEM, S KILIÇARSLAN 2019 3rd International Symposium on Multidisciplinary Studies and Innovative …, 2019 | 22 | 2019 |
A hybrid model based on the convolutional neural network model and artificial bee colony or particle swarm optimization-based iterative thresholding for the detection of … M Hekim, O Cömert, K Adem Turkish Journal of Electrical Engineering and Computer Sciences 28 (1), 61-79, 2020 | 21 | 2020 |
COVID-19 Diagnosis Prediction in Emergency Care Patients using Convolutional Neural Network K ADEM, S KILIÇARSLAN Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi 2021 (2 …, 2021 | 20 | 2021 |
Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network EK Yılmaz, K Adem, S Kılıçarslan, HA Aydın European Food Research and Technology 249 (6), 1655-1667, 2023 | 16 | 2023 |
Faster R-CNN Kullanarak Elmalarda Çürük Tespiti O Cömert, M Hekim, K Adem Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi 11 (1), 335-341, 2019 | 16* | 2019 |
Least squares approach to locally weighted naive Bayes method U Orhan, K Adem, O Comert Journal of New Results in Science 1 (1), 71-80, 2012 | 14 | 2012 |
Prediction of Gold Prices Using Artificial Neural Networks K Adem, O Comert, N Zengin, M Hekim Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi 9 (3), 83-89, 2017 | 13 | 2017 |