Yazar "RTEÜ, Mühendislik ve Mimarlık Fakültesi, Bilgisayar Mühendisliği Bölümü" için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
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Accuracy improvement in Ag:a-Si memristive synaptic device-based neural network through Adadelta learning method on handwritten-digit recognition
Yılmaz, Yıldıran (Springer, 2023)Traditional computing architecture (Von Neumann) that requires data transfer between the off-chip memory and processor consumes a large amount of energy when running machine learning (ML) models. Memristive synaptic devices ... -
An analysis on the relation between users' online social networks addiction and users security concerns
Kaya, Gülsüm Akkuzu; Sanders, Ben (Scitepress, 2021)Use of online social network platforms has increased over last decades. There are various activities that users can do on those platforms such as, making friends, enjoying time, making business, and education. Given ... -
ANOVA method reveals key factors influencing geopolymer strength: A comprehensive evaluation of input variables
Yılmaz, Yıldıran; Çakmak, Talip; Kurt, Zafer (IEEE, 2023)In this study, we present an ANOVA (Analysis of Variance) method conducted on a geopolymer dataset. The analysis focuses on evaluating the impact of various input variables, including OB, GW, FA, S, M, M/B, AGE, HEAT, SiO2, ... -
Avuç içi görüntüleri kullanarak gerçek zamanlı nabız sayımı
Gangal, Orhan Barış; Öztürk, Mehmet (Ieee, 2018)In this study, real-time pulse counting was performed using palm images obtained from a standard webcam. the signals obtained from the real-time palm images taken from the webcam were subjected to various signal processing ... -
Bilgisayar ve öğretim teknolojileri eğitimi bölümü öğrencilerinin öğretim tasarımı yeterliklerinin incelenmesi
Yalçın, Yasin; Ursavaş, Ömer Faruk (2021)Bilgisayar ve Öğretim Teknolojileri Eğitimi (BÖTE) bölümü mezunlarının öğretim tasarımı yeterliklerini de içine alan geniş bir yelpazede görevleri yerine getirmeleri beklenmektedir. Ancak BÖTE öğretim programı içerisinde ... -
Büyük Choi Williams zaman-frekans öznitelik seti kullanarak EKG aritmi tespiti
Akdeniz, Fulya; Kayıkcıoğu, Temel (Ieee, 2017)Early detection and monitoring of heart diseases increase human quality of life and this can prevent negative consequences. It is even more important because it can prevent sudden deaths. in today's technology, these ... -
CAPEN: Cryptographic accumulator based privacy preserving exposure notification
Özçelik, İlker (IEEE, 2021)Contact tracing has a significant contribution in preventing the rapid spread of infectious diseases. During the COVID-19 pandemic, local authorities, researchers and the tech industry focused on developing digital contact ... -
Classification of new titles by two stage latent dirichlet allocation
Güven, Zekeriya Anıl; Diri, Banu; Çakaloğlu, Tolgahan (Ieee, 2018)With the rapid development of the Internet, thousands of different news reports from different channels are presented to us. So much news, particularly in the media sector, is an important question to be categorized and ... -
Classification of Turkishtweet emotions by n- stage latent dirichlet allocation
Güven, Zekeriya Anıl; Diri, Banu; Çakaloğlu, Tolgahan (Institute of Electrical and Electronics Engineers Inc., 2018)The classification of the emotions contained in the social media is of great importance in terms of its use in related fields such as media as well as developing technology. The Latent Dirichlet Allocation (LDA), a topic ... -
Climate control of an smart greenhouse based on android
Alpay, Özlem; Erdem, Ebubekir (Ieee, 2018)Smart systems are systems used by new technologies that facilitate human life. Smart greenhouses have an important place in smart agriculture application. in this study, the amount of energy and water consumed for controlling ... -
Comparative analysis of energy costs of asymmetric vs symmetric encryption-based security applications
Halak, Basel; Yılmazi Yıldıran; Shiu, Daniel (IEEE, 2022)Public key algorithms are heavily used in many digital applications including key establishment schemes, secure messaging apps, and digital signature schemes in cryptocurrencies. Recent developments in the field of quantum ... -
Correlation value determined to increase Salmonella prediction success of deep neural network for agricultural waters
Buyrukoğlu, Selim; Yılmaz, Yıldıran; Topalcengiz, Zeynal (Springer, 2022)The use of computer-based tools has been becoming popular in the field of produce safety. Various algorithms have been applied to predict the population and presence of indicator microorganisms and pathogens in agricultural ... -
Cusum - Entropy: An efficient method for DDoS attack detection
Özçelik, İlker; Brooks, Richard R. (Ieee, 2016)Computers and Internet have evolved into necessary tools for our professional, personal and social lives. As a result of growing dependence, the availability of these systems has become a concern. This concern increases ... -
Development and evaluation of ensemble learning models for detection of distributed denial-of-service attacks in ınternet of things
Yılmaz, Yıldıran; Buyrukoğlu, Selim (Hitit University, 2022)Internet of Things that process tremendous confidential data have difficulty performing traditional security algorithms, thus their security is at risk. The security tasks to be added to these devices should be able to ... -
Distributed denial of service (DDoS): A history
Brooks, Richard R.; Yu, Lu; Özçelik, İlker; Oakley, Jon); Tusing, Nathan (IEEE, 2022)Distributed denial of service (DDoS) attacks remain a persistent nuisance on the Internet. They exploit the fact that the Internet lacks centralized access control. Since this vulnerability was a core design decision of ... -
ESAR: Enhanced secure authentication and revocation scheme for vehicular ad hoc networks
Çoruh, Uğur; Bayat, Oğuz (Elsevier, 2022)Vehicle Ad Hoc Network (VANET) systems that use Public Key Infrastructure (PKI) experience significant delays when checking Certificate Revocation Lists (CRLs) and performing key pair-based asymmetric cryptographic operations. ... -
Fuzzy rule based classification system from vehicle-to-grid data
Kaya, Gülsüm Akkuzu; Badwan, Abdul (IEEE, 2021)Vehicle-to-Grid (V2G) system is becoming a very popular concept since it has various benefits such as reducing energy consumption, being environmental friendly, bi-directional charging, and load balancing. Although, it ... -
Human-animal recognition in camera trap images
Şimşek, Emrah; Özyer, Barış; Bayındır, Levent; Özyer, Gülşah Tümüklü (Ieee, 2018)Camera trap is an image sensor that is widely used in monitoring biodiversity, identifying and tracking species in natural life. in this study, we investigate human-animal distinction in image dataset obtained from camera ... -
Hybrid machine learning model coupled with school closure for forecasting covıd-19 cases in the most affected countries
Yılmaz, Yıldıran; Buyrukoğlu, Selim (2021)Coronavirus disease (Covid-19) caused millions of confirmed cases and deaths worldwide since first appeared in China. Forecasting methods are essential to take precautions early and control the spread of this rapidly ... -
Increasing the performance of a hospital department with budget allocation model and machine learning assisted by simulation
Alim, Muzaffer; Yılmaz, Yıldıran; Boz, Esra (Taylor & Francis Inc., 2024)The COVID-19 pandemic highlighted the critical need for efficient resource management in healthcare. In this study, the internal medicine outpatient clinic in a hospital is modelled by simulation method. Appropriate ...