Yazar "Çalışkan, Abdullah" için listeleme
-
Application of Deep Neural Networks for Disease Diagnosis Through Medical Data Sets
Baştürk, Alper; Badem, Hasan; Çalışkan, Abdullah; Yüksel, Mehmet Emin (Springer Science and Business Media Deutschland GmbH, 2019)In this chapter, a novel classification methodology for medical disease diagnosis is proposed. The proposed classification operator comprises a stacked autoencoder network cascaded with a softmax layer. The classifier is ... -
Derin sinir ağlarıyla elektroensefalografi sinyalleri sınıflandırılarak yenidoğanlarda epilepsi tanı yöntemi geliştirilmesi
Rencuzoğulları, Süleyman (İskenderun Teknik Üniversitesi / Lisansüstü Eğitim Enstitüsü / Elektrik-Elektronik Mühendisliği Ana Bilim Dalı, 2021)Bu tez, yenidoğanlarda nöbet tespit etme sorununu ele almaktadır. Bu tez çalışmasında Alexnet, resnet18, googlenet, densenet ve resnet50 dahil olmak üzere önceden eğitilmiş derin evrişim sinir ağlarını (p-DCNN) mantıklı ... -
Determination of window size and sliding interval for EMG signals by using genetic algorithm
Çalışkan, Abdullah; Badem, Hasan; Çil, Zeynel Abidin (Institute of Electrical and Electronics Engineers Inc., 2019)The selection of window size and sliding interval are one of the important problems encountered in Electromyography (EMG) signal processing. However, there exist a few methods to determine the window size and sliding ... -
Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques
Çiloğlu, Fatma Uysal; Çalışkan, Abdullah; Sarıdağ, Ayşe Mine; Kılıç, İbrahim Halil; Tokmakçı, Mahmut; Kahraman, Mehmet; Aydın, Ömer (Nature Research, 2021)Over the past year, the world's attention has focused on combating COVID-19 disease, but the other threat waiting at the door-antimicrobial resistance should not be forgotten. Although making the diagnosis rapidly and ... -
EMG Sinyalleri İçin Hibrid Öznitelik Çıkarma Yöntemi Geliştirilmesi
Çalışkan, Abdullah (Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 2019)Bu çalışmada EMG sinyalleri kullanılarak 14 farklı parmak hareketi önerilen yeni bir öznitelik çıkarma yöntemiyle sınıflandırılmıştır. EMG sinyallerinden parmak hareketlerinin tespiti / sınıflandırılması, ön işleme, özellik ... -
A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization
Badem, Hasan; Baştürk, Alper; Çalışkan, Abdullah; Yüksel, Mehmet Emin (Elsevier Science, 2018)In this paper, a new optimization method, which is developed especially for optimization of functions with a large number of local minima, is presented. The proposed method is a hybrid optimization algorithm which employs ... -
Parkinson Hastalığı Teşhisi için Yapay Arı Kolonisi Temelli Öznitelik Seçimi
Badem, Hasan; Türkuşağı, Duran; Çalışkan, Abdullah; Çil, Zeynel Abidin (Institute of Electrical and Electronics Engineers Inc., 2019)Parkinson's disease can be diagnosed by the speech signals. In general, the data obtained by feature extraction algorithms from the speech signals are used in any classification algorithm. Some of the extracted features ... -
Performance enhancement of energy extraction capability for fuel cell implementations with improved Cuckoo search algorithm
İnci, Mustafa; Çalışkan, Abdullah (Pergamon-Elsevier Science, 2020)This paper addresses an improved optimization method to enhance the energy extraction capability of fuel cell implementations. In this study, the proposed method called Dynamic Cuckoo Search Algorithm (DCSA) is tested in ... -
Prediction of Leakage from an Axial Piston Pump Slipper with Circular Dimples Using Deep Neural Networks
Özmen, Özkan; Sinanoğlu, Cem; Çalışkan, Abdullah; Badem, Hasan (Springer, 2020)Oil leakage between the slipper and swash plate of an axial piston pump has a significant effect on the efficiency of the pump. Therefore, it is extremely important that any leakage can be predicted. This study investigates ... -
Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination
Çalışkan, Abdullah; Çil, Zeynel Abidin; Badem, Hasan; Karaboğa, Derviş (Institute of Electrical and Electronics Engineers Inc., 2020)Salt and pepper (SAP) noise elimination is a crucial step for further image processing and pattern recognition applications. The main aim of this article is to propose a novel SAP noise elimination method which employs a ... -
Transfer learning to detect neonatal seizure from electroencephalography signals
Çalışkan, Abdullah; Rencuzoğulları, Süleyman (Springer, 2021)This paper offers a solution to the problem of detecting neonatal seizures via a transfer learning technique that judiciously reconstructs pre-trained deep convolution neural networks (p-DCNN), including alexnet, resnet18, ...
