Yazar "Aydin, Zafer" için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
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Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
Yengec-Tasdemir, Sena Busra; Aydin, Zafer; Akay, Ebru; Dogan, Serkan; Yilmaz, Bulent (ELSEVIER IRELAND, 2023)Background and Objective: Early detection of colon adenomatous polyps is critically important because correct detection of it significantly reduces the potential of developing colon cancers in the future. The key challenge ... -
Knowledge based response correction method for design of reconfigurable N-shaped microstrip patch antenna using inverse ANNs
Aoad, Ashrf; Simsek, Murat; Aydin, Zafer (WILEY, 2017)Artificial neural networks (ANNs) have been often used for engineering design problems. In this work, an inverse model of a reconfigurable N-shaped microstrip patch antenna which is formed by ANN is considered to find ... -
New modeling of reconfigurable microstrip antenna using hybrid structure of simulation driven and knowledge based artificial neural networks
Aoad, Ashrf; Aydin, Zafer (PAMUKKALE UNIV, CAMPUS INCILIPINAR, DENIZLI, 20020, TURKEY, 2020)Knowledge-based modeling has a critical role to embed existing knowledge to improve modeling performance. Since reconfigurable antenna can provide more operational frequencies than the classical antennas, a knowledge-based ... -
A noise-aware feature selection approach for classification
Sabzekar, Mostafa (SPRINGERONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES, 2021)A noise-aware version of support vector machines is utilized for feature selection in this paper. Combining this method and sequential backward search (SBS), a new algorithm for removing irrelevant features is proposed. ... -
A Novel Feature Design and Stacking Approach for Non-Technical Electricity Loss Detection
Aydin, Zafer; Gungor, Vehbi Cagri (Institute of Electrical and Electronics Engineers Inc., 2018)Non-technical electricity losses continue to jeopardize economic and social well-being of many countries. In this work, we develop machine learning classifiers that can identify anomalous electricity consumption in Turkey. ... -
NSEM: Novel Stacked Ensemble Method for Sentiment Analysis
Emre Isik, Yunus; Gormez, Yasin; Kaynar, Oguz; Aydin, Zafer (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Today, people often share their ideas, opinions and feelings through forums, social media sites, blogs and similar platforms. For this reason, access to these data has become very easy. Increase in the number of shares ... -
Open Source Slurm Computer Cluster System Design and a Sample Application
Azginoglu, Nuh; Atasever, Mehmet Umt; Aydin, Zafer; Celik, Mete; Erbay, Hasan (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Cluster computing combines the resources of multiple computers as they act like a single high-performance computer. In this study, a computer cluster consisting of Lustre distributed file system with one cluster server ... -
Short Term Electricity Load Forecasting: A Case Study of Electric Utility Market in Turkey
Yasin, Muhammed; Goze, Tolga; Ozcan, Ihsan; Gungor, Vehbi Cagri; Aydin, Zafer (IEEE, 2015)With the recent developments in energy sector, the pricing of electricity is now governed by the spot market where a variety of market mechanisms are effective. After the new legislation of market liberalization in Turkey, ... -
Template Scoring Methods for Protein Torsion Angle Prediction
Aydin, Zafer; Baker, David; Noble, William Stafford; Fred, A; Gamboa, H; Elias, D (SPRINGER, 2015)Prediction of backbone torsion angles provides important constraints about the 3D structure of a protein and is receiving a growing interest in the structure prediction community. In this paper, we introduce a three-stage ...