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Classification Of Plant Communities Along Postfire Succession In Pinus Brutia (Turkish Red Pine) Stands In Antalya (Turkey), Ali̇ Kavgaci, Urban Silc, Sai̇me Başaran, Aleksander Marinsek, Mehmet Ali̇ Başaran, Petra Kosir, Nesli̇han Balpinar, Münevver Arslan, Özge Ergüler, Andraz Carni
Classification Of Plant Communities Along Postfire Succession In Pinus Brutia (Turkish Red Pine) Stands In Antalya (Turkey), Ali̇ Kavgaci, Urban Silc, Sai̇me Başaran, Aleksander Marinsek, Mehmet Ali̇ Başaran, Petra Kosir, Nesli̇han Balpinar, Münevver Arslan, Özge Ergüler, Andraz Carni
Turkish Journal of Botany
The paper deals with the classification of plant communities that appear along postfire succession of Pinus brutia forests (Turkish red pine). The research took place in the Antalya region in the southern part of Turkey. Samplings were performed in nine areas, with different periods after fire: 1, 2, 3, 4, 7, 12, 20, 40 years, and a mature forest with an estimated age of 60 years. Numerical classification and ordination analysis were used to determine the communities and to understand the temporal changes. The vegetation classification showed that separate plant communities can be distinguished along the succession line. It was …
A Review Of Pediatric Pulmonary Hypertension With New Guidelines, Serdar Kula, Ayhan Pektaş
A Review Of Pediatric Pulmonary Hypertension With New Guidelines, Serdar Kula, Ayhan Pektaş
Turkish Journal of Medical Sciences
This study aims to review pediatric pulmonary hypertension (PH) by comparing the guidelines of the European Society of Cardiology (ESC)/European Respiratory Society (ERS), the American Heart Association (AHA)/American Thoracic Society (ATS), and the European Pediatric Pulmonary Vascular Disease Network (EPPVDN). All three sets of guidelines define PH as having a mean pulmonary artery pressure of ≥25 mmHg and accept the validity of the World Health Organization (WHO) classification system. Every child with a high index of suspicion for PH should undergo an initial work-up of chest X-rays, electrocardiography, and echocardiography. The AHA/ATS guidelines emphasize the necessity of cardiac catheterization and …
Classification Of Eeg Signals Of Familiar And Unfamiliar Face Stimuli Exploiting Most Discriminative Channels, Abdurrahman Özbeyaz, Sami̇ Arica
Classification Of Eeg Signals Of Familiar And Unfamiliar Face Stimuli Exploiting Most Discriminative Channels, Abdurrahman Özbeyaz, Sami̇ Arica
Turkish Journal of Electrical Engineering and Computer Sciences
The objective of the study is to classify electroencephalogram signals recorded in a familiar and unfamiliar face recognition experiment. Frontal views of familiar and unfamiliar face images were shown to 10 volunteers in different sessions. In contrast to previous studies, no marker button was used during the experiment. Participants had to decide whether the displayed face was familiar or unfamiliar at the instant of stimulus presentation. The signals were analyzed in the preprocessing, channel selection, feature extraction, and classification stages. The novel two-feature extraction and eight-channel selection methods were applied to the analyses. Sixteen classification results were compared and the …
K-Nn-Based Classification Of Sleep Apnea Types Using Ecg, Oğuz Han Ti̇muş, Emi̇ne Doğru Bolat
K-Nn-Based Classification Of Sleep Apnea Types Using Ecg, Oğuz Han Ti̇muş, Emi̇ne Doğru Bolat
Turkish Journal of Electrical Engineering and Computer Sciences
Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder that yields cardiovascular diseases, excessive daytime sleepiness, and poor quality of life if not treated. Classification of OSAS from electrocardiograms (ECGs) is a noninvasive method and much more affordable than traditional methods. This study proposes a pattern recognition system for automated apnea diagnosis based on heart rate variability (HRV) and ECG-derived respiratory signals. The k-nearest neighbor (k-NN) classifier has been used to develop the models for classifying the sleep apnea types. For comparison purposes, classification models based on multilayer perceptron, support vector machines, and C4.5 decision tree (C4.5 DT) have …
Multiclass Semantic Segmentation Of Faces Using Crfs, Khalil Khan, Nasir Ahmad, Khalil Ullah, Irfanud Din
Multiclass Semantic Segmentation Of Faces Using Crfs, Khalil Khan, Nasir Ahmad, Khalil Ullah, Irfanud Din
Turkish Journal of Electrical Engineering and Computer Sciences
Multiclass semantic image segmentation is widely used in a variety of computer vision tasks, such as object segmentation and complex scene understanding. As it decomposes an image into semantically relevant regions, it can be applied in segmentation of face images. In this paper, an algorithm based on multiclass semantic segmentation of faces is proposed using conditional random fields. In the proposed model, each node corresponds to a superpixel, while the neighboring superpixels are connected to nodes through edges. Unlike previous approaches, which rely on three or four classes, the label set is extended here to six classes, i.e. hair, eyes, …
Dtreesim: A New Approach To Compute Decision Tree Similarity Using Re-Mining, Gözde Bakirli, Derya Bi̇rant
Dtreesim: A New Approach To Compute Decision Tree Similarity Using Re-Mining, Gözde Bakirli, Derya Bi̇rant
Turkish Journal of Electrical Engineering and Computer Sciences
A number of recent studies have used a decision tree approach as a data mining technique; some of them needed to evaluate the similarity of decision trees to compare the knowledge reflected in different trees or datasets. There have been multiple perspectives and multiple calculation techniques to measure the similarity of two decision trees, such as using a simple formula or an entropy measure. The main objective of this study is to compute the similarity of decision trees using data mining techniques. This study proposes DTreeSim, a new approach that applies multiple data mining techniques (classification, sequential pattern mining, and …