Search Results - "Ucan, Osman N."

Evaluation of face recognition techniques using PCA, wavelets and SVM by Gumus, Ergun, Kilic, Niyazi, Sertbas, Ahmet, Ucan, Osman N.

“…In this study, we present an evaluation of using various methods for face recognition. As feature extracting techniques we benefit from wavelet decomposition…”
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Application of cellular neural network (CNN) to the prediction of missing air pollutant data by Şahin, Ülkü Alver, Bayat, Cuma, Uçan, Osman N.

“…For air-quality assessments in most major urban centers, air pollutants are monitored using continuous samplers. Sometimes data are not collected due to…”
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Real-Time Fuel Truck Detection Algorithm Based on Deep Convolutional Neural Network by Alsanad, Hamid R., Ucan, Osman N., Ilyas, Muhammad, Khan, Atta Ur Rehman, Bayat, Oguz

“…This paper presents a new approach by training and improving a convolutional neural network (CNN) based on You Only Look Once version 2 (YOLOv2) to efficiently…”
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Nodule detection in a lung region that's segmented with using genetic cellular neural networks and 3D template matching with fuzzy rule based thresholding by Ozekes, Serhat, Osman, Onur, Ucan, Osman N

“…The purpose of this study was to develop a new method for automated lung nodule detection in serial section CT images with using the characteristics of the 3D…”
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A grasshopper optimizer approach for feature selection and optimizing SVM parameters utilizing real biomedical data sets by Ibrahim, Hadeel Tariq, Mazher, Wamidh Jalil, Ucan, Osman N., Bayat, Oguz

“…Support vector machines (SVM) are one of the important techniques used to solve classifications problems efficiently. Setting support vector machine kernel…”
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Multiple DGs for Reducing Total Power Losses in Radial Distribution Systems Using Hybrid WOA-SSA Algorithm by Alzaidi, Khalid Mohammed Saffer, Ucan, Osman N., Bayat, Oguz

“…Distributed generators (DGs) are currently extensively used to reduce power losses and voltage deviations in distribution networks. The optimal location and…”
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Social Touch Gesture Recognition Using Convolutional Neural Network by Ucan, Osman N., Al-Azawi, Saad, Bayat, Oguz, Albawi, Saad

“…Recently, social touch gesture recognition has been considered an important topic for touch modality, which can lead to highly efficient and realistic…”
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YOLO-V3 based real-time drone detection algorithm by Alsanad, Hamid R., Sadik, Amin Z, Ucan, Osman N., Ilyas, Muhammad, Bayat, Oguz

“…Drones are currently being used in a wide range of useful tasks that are too dangerous or/and expensive to be performed by humans. However, this is…”
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Mammographical mass detection and classification using Local Seed Region Growing–Spherical Wavelet Transform (LSRG–SWT) hybrid scheme by Görgel, Pelin, Sertbas, Ahmet, Ucan, Osman N

“…Abstract The purpose of this study is to implement accurate methods of detection and classification of benign and malignant breast masses in mammograms. Our…”
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Retraction Note: Hybrid deep learning model for automatic fake news detection by Hanshal, Othman A., Ucan, Osman N., Sanjalawe, Yousef K.

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Increasing Energy Efficiency in Wireless Sensor Networks Using GA-ANFIS to Choose a Cluster Head and Assess Routing and Weighted Trusts to Demodulate Attacker Nodes by Al Hayali, Shaymaa, Rahebi, Javad, Ucan, Osman N., Bayat, Oguz

“…Demodulating harmful nodes and diminishing the energy waste in sensor nodes can prolong the lifespan of wireless sensor networks (WSNs). In this study, a…”
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RETRACTED ARTICLE: Hybrid deep learning model for automatic fake news detection by Hanshal, Othman A., Ucan, Osman N., Sanjalawe, Yousef K.

“…With the fast advancement in digital news, fake news has already caused grave threats to the public’s actual judgment and credibility, in specific, with the…”
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Concatenation of polar codes with three‐dimensional parity check (3D‐PC) codes to improve error performance over fading channels by Jasim, Ibrahim Beram, Bayat, Oguz, Ucan, Osman N.

“…Summary In this paper, we concatenated of three‐dimensional parity check (3D‐PC) block and polar codes for improving error correction performance and bit error…”
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A Wavelet-Based Mammographic Image Denoising and Enhancement with Homomorphic Filtering by Gorgel, Pelin, Sertbas, Ahmet, Ucan, Osman N.

“…Breast cancer continues to be a significant public health problem in the world. The diagnosing mammography method is the most effective technology for early…”
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Hybrid Efficient Genetic Algorithm for Big Data Feature Selection Problems by Mohammed, Tareq Abed, Bayat, Oguz, Uçan, Osman N., Alhayali, Shaymaa

“…Due to the huge amount of data being generating from different sources, the analyzing and extracting of useful information from these data becomes a very…”
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An Efficient and Reliable Routing Method for Hybrid Mobile Ad Hoc Networks Using Deep Reinforcement Learning by Alkadhmi, Murtadha M. A., Ilyas, Muhammad, Uçan, Osman N.

“…With the reliance of humans on mobile smart devices that have wireless communication, modules have significantly increased in recent years. Using these devices…”
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Evaluation of ultra‐wideband in vivo radio channel and its effects on system performance by Ilyas, Muhammad, Ucan, Osman N., Bayat, Oguz, Nasir, Ali Arshad, Imran, Muhammad Ali, Alomainy, Akram, Abbasi, Qammer H.

“…This paper presents bit‐error‐rate (BER) performance analysis and improvement using equalizers for an in vivo radio channel at ultra‐wideband frequencies (3.1…”
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Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG) by Duru, Adil Deniz, Bayat, Oğuz, Uçan, Osman N., Mohamed, Ahmed M. A.

“…An electroencephalogram (EEG) is a significant source of diagnosing brain issues. It is also a mediator between the external world and the brain, especially in…”
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Performance of multilevel-turbo codes with blind/non-blind equalization over WSSUS multipath channels by N. Ucan, Osman, Buyukatak, Kenan, Gose, Ersin, Osman, Onur, Odabasioglu, Niyazi

“…In this paper, in order to improve error performance, we introduce a new type of turbo codes, called ‘multilevel‐turbo codes (ML‐TC)’ and we evaluate their…”
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Diagnosis of Renal Failure Disease Using Adaptive Neuro-Fuzzy Inference System by Akgundogdu, Abdurrahim, Kurt, Serkan, Kilic, Niyazi, Ucan, Osman N., Akalin, Nilgun

“…Adaptive Neuro-Fuzzy Inference System (ANFIS) is one of the useful and powerful neural network approaches for the solution of function approximation and…”
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