• Multi-image Crowd Counting Using Multi-column Convolutional Neural Network 

  Kurnaz, Oğuzhan; Hanilçi, Cemal (Springer, 2022)

  Crowd density estimation is an important task for security applications. It is a regression problem consisting of feature extraction and estimation steps. In this study, we propose to use a modified version of previously ...

• FAULT DIAGNOSIS WITH DEEP LEARNING FOR STANDARD AND ASYMMETRIC INVOLUTE SPUR GEARS 

  Karpat, Fatih; Dirik, Ahmet Emir; Kalay, Onur Can; Yüce, Celalettin; Doğan, Oğuz; Korcuklu, Burak (American Society of Mechanical Engineers (ASME), 2021)

  Gears are critical power transmission elements used in various industries. However, varying working speeds and sudden load changes may cause root cracks, pitting, or missing tooth failures. The asymmetric tooth profile ...

• Multi-objective optimisation for indentation rate, nugget diameter and tensile load in resistance spot welding using Taguchi-based grey relational analysis 

  Yüce, Celalettin (Inderscience Publishers, 2021)

  In this study, a multi-objective optimisation method based on grey relational analysis with weighted responses is conducted to optimise the RSW parameters of electrode force, welding current, and welding time. Three ...

• Horizontal attention convolution layer for stereo matching 

  Emlek A.; Peker, Murat (Institute of Electrical and Electronics Engineers Inc., 2021)

  Obtaining a disparity map with stereo matching is one of the most important research topics in areas such as image processing and computer vision. Disparity maps are frequently used by autonomous systems that need depth ...

• Experimental study on fatigue performance of resistance spot-welded sheet metals 

  Ertaş, Ahmet Hanifi; Akbulut M. (Springer Science and Business Media Deutschland GmbH, 2021)

  Resistance spot welding is used as a reliable joining process in many engineering applications because of its effectiveness, automation capability, and low cost. The spot-welded sheet metals, on the other hand, are prone ...

• Emotion recognition using time-frequency ridges of EEG signals based on multivariate synchrosqueezing transform 

  Mert, Ahmet; Celik H.H. (De Gruyter Open Ltd, 2021)

  The feasibility of using time-frequency (TF) ridges estimation is investigated on multi-channel electroencephalogram (EEG) signals for emotional recognition. Without decreasing accuracy rate of the valence/arousal recognition, ...

• Convolutional neural networks based rolling bearing fault classification under variable operating conditions 

  Karpat F.; Kalay O.C.; Dirik A.E.; Dogan O.; Korcuklu B.; Yüce, Celalettin (Institute of Electrical and Electronics Engineers Inc., 2021)

  Rolling bearings are key machine elements used in various fields such as automotive, machinery, aviation, and wind turbines. Over time, faults may occur in bearings due to variable operating speeds and loads, contamination, ...

• A comparative 3d finite element computational study of stress distribution and stress transfer in small-diameter conical dental implants 

  Kalay O.C.; Karaman H.; Karpat F.; Doğan O.; Yüce, Celalettin (Strojarski Facultet, 2021)

  The implant design is one of the main factors in implant stability because it affects the contact area between the bone and the implant surface and the stress-strain distribution at the bone-implant interface. In this ...

• VİDEOLARIN ENF TABANLI ADLİ KANIT ANALİZİNE IŞIK KAYNAĞI ETKİSİ 

  Vatansever, Saffet; Dirik, Ahmet Emir (2017)

  Video dosyalarının Elektrik Şebeke Frekansı (Electric Network Frequency - ENF) temelli adli kanıt analizi tekniği, çoklu ortam dosyalarının kayıt zamanını doğrulamada ve dosyalarda yapılan sahteciliği tespit etmede son ...

• Değişken Kuvvetli EMG Sinyallerinin Çok Değişkenli Görgül Kip Ayrışımı ile Analizi ve Sınıflandırılması 

  Onay, Fatih; Mert, Ahmet (2020)

  Elektromiyografi (EMG) sinyalleri, insan-makine etkileşimli akıllı el protezlerinin kontrolünde önemli bir rol oynamaktadır. Kas aktivesinin bir sonucu olarak ortaya çıkan EMG sinyalleri, yapılan aktiviteye dair özel ...

• A new high-performance current-mode fuzzy membership function circuit and its application 

  Temel, Turgay (2015)

  A new current-mode fuzzy-membership function circuit is proposed. The circuit has a very compact and simple architecture based on the simultaneous use of winner- and loser-take-all topologies. The circuit has also the ...

• Real-time Implementation of Image Based PLC Control for a Robotic Platform 

  Ayten, K. K.; Kurnaz, Oğuzhan (2019)

  In this study, image based real-time control of a linear robotic platform was performed. This robotic platform is used to determine the location of the mushroom and to direct the linear platform to the detected position ...

• Türkçe için ardışık şartlı rastgele alanlarla bağlılık ayrıştırma 

  Bilgin, Metin; Amasyalı, Mehmet Fatih (2017)

  Sekans etiketleme bir giriş dizisine karşılık bir çıkış dizisinin üretimidir. Giriş ve çıkış dizisinin içeriklerinegöre doğal dil işlemenin birçok konusu (varlık isim tanıma, makine çevirisi, morfolojik analiz, cümleleri ...

• İnsan-robot etkileşiminin biyomimetik yaklaşımla sağlanması 

  Gelen, Gökhan; Özcan, Sinan (2019)

  Bu çalışmada, insan kol ve el hareketlerinin taklit edilmesiyle insanrobot etkileşimini sağlayan biyomimetik bir yaklaşım sunulmuştur. İnsan kol hareketleriyle robotun aynı doğrultuda hareket etmesi sağlanmış ve el hareketleri ...

• Real-time vision-based grasping randomly placed object by low-cost robotic arm using surf algorithm 

  Beyhan, Ayberk; Adar, Nurettin Gökhan (IOP Publishing Ltd, 2020)

  Vision-Based Manipulation is popular and still have open issues in robotics. The camera is a very important part of this method to obtain desired data with image processing techniques. In this study, the Dynamic position-based ...

• Mechatronic System Design of A Smart Mobile Warehouse Robot for Automated Storage/Retrieval Systems 

  Ozbaran, C.; Dilibal, S.; Sungur, Görkem (Institute of Electrical and Electronics Engineers Inc., 2020)

  Smart mobile warehouse robots are widely used in varied industries for increasing the digitalization of the storage and retrieval systems and decreasing the number of workers in warehouses. In this study, the mechatronic ...

• Effects of drive side pressure angle on gear fatigue crack propagation life for spur gears with symmetric and asymmetric teeth 

  Karpat, F.; Dogan, O.; Yilmaz, T.; Yüce, Celalettin; Kalay, O.C.; Karpat, E.; Kopmaz, O. (American Society of Mechanical Engineers (ASME), 2019)

  Today gears are one of the most crucial machine elements in the industry. They are used in every area of the industry. Due to the high performances of the gears, they are also used in aerospace and wind applications. In ...

• Effects of rim thickness and drive side pressure angle on gear tooth root stress and fatigue crack propagation life 

  Doğan, O.; Yüce, Celalettin; Karpat, F. (Elsevier Ltd, 2021)

  Gears are the most significant machine elements in power transmission systems. They are used in almost every area of the industry, such as small watches to wind turbines. During the power transmission, gears are subjected ...

• Design of an Event Based Multi Processors Communication System 

  Kart, M.; Gul, E.; Türe, Murat (Institute of Electrical and Electronics Engineers Inc., 2017)

  This paper presents an event based model multi-processor system that can handle events from hundreds ofterminals. The overall system acts as a single system as if it iscontrolled by a single processor. A communication ...

• Multi-Image Crowd Density Estimation using Multi Column Deep Neural Network 

  Kurnaz, Oğuzhan; Hanilçi, Cemal (Institute of Electrical and Electronics Engineers Inc., 2020)

  Crowd density estimation is a challenging problem for security applications which is a regression task consisting of feature extraction and regression steps. In this paper, multicolumn deep neural networks (MDNN) is proposed ...

View more