Araştırma Çıktıları | Scopus İndeksli Yayınlar Koleksiyonu by İSTE Author "Altan, Gökhan"
Now showing items 1-11 of 11
-
Chronic obstructive pulmonary disease severity analysis using deep learning on multi-channel lung sounds
Altan, Gökhan; Kutlu, Yakup; Gökçen, Ahmet (Türkiye Klinikleri, 2020)Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases which cannot be treated but can be kept under control in certain stages. COPD has five severities, including at-risk, mild, moderate, severe, ... -
A deep learning architecture for identification of breast cancer on mammography by learning various representations of cancerous mass
Altan, Gökhan (Springer, 2021)Deep Learning (DL) is a high capable machine learning algorithm with the detailed analysis abilities on images. Although DL models achieve very high classification performances, the applications are trending on using and ... -
Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
Altan, Gökhan; Kutlu, Yakup; Allahverdi, Novruz (Institute of Electrical and Electronics Engineers Inc., 2020)Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it ... -
Deep learning with 3D-second order difference plot on respiratory sounds
Altan, Gökhan; Kutlu, Yakup; Pekmezci, Adnan Özhan; Nural, Serkan (Elsevier, 2018)The second order difference plot (SODP) is a nonlinear signal analysis method that visualizes two consecutive data points for many types of biomedical signals. The proposed method is based on analysing quantization of ... -
Deep Learning with ConvNet Predicts Imagery Tasks Through EEG
Altan, Gökhan; Yayık, Apdullah; Kutlu, Yakup (Springer, 2021)Deep learning with convolutional neural networks (ConvNets) has dramatically improved the learning capabilities of computer vision applications just through considering raw data without any prior feature extraction. Nowadays, ... -
DeepOCT: An explainable deep learning architecture to analyze macular edema on OCT images
Altan, Gökhan (Elsevier, 2022)Macular edema (ME) is one of the most common retinal diseases that occur as a result of the detachment of the retinal layers on the macula. This study provides computer-aided identification of ME for even small pathologies ... -
ECG based human identification using Second Order Difference Plots
Altan, Gökhan; Kutlu, Yakup; Yeniad, Mustafa (Elsevier, 2019)Background and objective: ECG is one of the biometric signals that has been studied in peer-reviewed over past years. The developments on the signal analysis methods show that the studies on the ECG would continue unabatedly. ... -
A fully distributed energy-aware multi-level clustering and routing for WSN-based IoT
Turgut, İpek Abasıkeleş; Altan, Gökhan (Wiley, 2021)One of the major problems in wireless sensor networks (WSNs) is that resource-constrained sensor nodes consume their limited batteries quickly due to long-distance data communications. The communication distance of the ... -
A Multistage Deep Learning Algorithm for Detecting Arrhythmia
Altan, Gökhan; Allahverdi, Novruz; Kutlu, Yakup (Institute of Electrical and Electronics Engineers, 2018)Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a multi-stage ... -
A novel fractional operator application for neural networks using proportional Caputo derivative
Altan, Gökhan; Alkan, Sertan; Baleanu, Dumitru (Springer, 2022)In machine learning models, one of the most popular models is artificial neural networks. The activation function is one of the important parameters of neural networks. In this paper, the sigmoid function is used as an ... -
SecureDeepNet-IoT: A deep learning application for invasion detection in industrial Internet of Things sensing systems
Altan, Gökhan (Wiley, 2021)Deep learning (DL) is a special field of artificial intelligence that has increased its use in various fields and has proved its effectiveness in classification. The feasibility of using many hidden layers and many neurons ...
