• An Examination of Shopping Styles Comparison of Impulse and Hedonistic Buying Behavior 

  Remzi ALTUNIŞIK; Levent ÇALLI; Nilgün SARIKAYA (Yaşar University, 2006-06-17)

  In today 's modern life shopping is an activity not only directed towards satisfying human needs, but also, it's considered as a mean to spending free time and a way to escape from stress of life. In particular, shopping ...
• Online Alışverişte Görsel Unsurlar ve Eğlence'nin e-Sadakat ve e-Memnuniyet Üzerinde Etkisine Yönelik Ampirik Bir Çalışma 

  Remzi ALTUNIŞIK; Levent ÇALLI (2010-05-30)

  Modem pazarlama düşüncesinin merkezinde yer alan bir kavram olarak memnuniyet ve onun en önemli çıktısı sadakat, kavramların temellerinin oluşturulduğu ilk dönemlerde duygusal motifler göz ardı edilerek sadece bilişsel bir ...
• Selection of Social Media Sites for Advertising: Literature Review and a Model Proposal 

  Levent ÇALLI (2016-12-09)

  The rapid increase and spread of Social Network Sites (SNSs) have initiated new opportunities for marketing practice, especially for promotion activities. Numerous companies use various type of advertising and take advantage ...
• A priority-based queuing model approach using destination parameters for real-time applications on IPv6 networks 

  Sadettin Demir; Özçelik, İbrahim (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2020)

  In the early days of the Internet architecture, the most important aim is to transmit data over packet switched networks. The traditional Internet architecture used in these networks lacks quality of service. However, ...
• GPU-Based Dynamic Solar Potential Estimation Tool Using 3D Plans 

  Kaynak, Sümeyye; Kaynak, Baran; Özmen, Ahmet (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)

  Estimations of the solar potential from the building design files may affect placement considerations in favor of more sunlight reception that reduces the energy costs and saves the environment. In this study, a GPU based ...
• Service-based IoT architecture for vehicular communication (Under Review) 

  Ovaz Akpınar, Kevser (2020)
• Daily basis mid-term demand forecast of city natural gas using univariate statistical techniques 

  Akpınar, Mustafa; Yumuşak, Nejat (GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2020)

  City distribution companies or companies with high consumption are required to report monthly consumption demand forecasts for the year ahead and year based daily consumption demand forecasts in natural gas sector. This ...
• Anomaly-Based Intrusion Detection From Network Flow Features Using Variational Autoencoder 

  Sultan Zavrak; İskefiyeli, Murat (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)

  The rapid increase in network traffic has recently led to the importance of flow-based intrusion detection systems processing a small amount of traffic data. Furthermore, anomaly-based methods, which can identify unknown ...
• Methodology to determine the device-level periodicity for anomaly detection in EtherCAT-based industrial control networks (Under Review) 

  Ovaz Akpınar, Kevser (2020)
• Deep learning-based face analysis system for monitoring customer interest 

  Gozde Yolcu; Öztel, İsmail; Çakar, Serap; Öz, Cemil; Filiz Bunyak (SPRINGER HEIDELBERG, 2020)

  In marketing research, one of the most exciting, innovative, and promising trends is quantification of customer interest. This paper presents a deep learning-based system for monitoring customer behavior specifically for ...
• Classification of alcohols obtained by QCM sensors with different characteristics using ABC based neural network 

  M. Fatih Adak; Peter Lieberzeit; Purim Jarujamrus; Yumuşak, Nejat (ELSEVIER - DIVISION REED ELSEVIER INDIA PVT LTD, 2020)

  Alcohols with different structures are used frequently in hygiene products and cosmetics. It is desirable to classify these alcohols to evaluate their potential harmful effects using less costly methods. In this study, ...
• Cloud Manufacturing Architecture Based on Public Blockchain Technology 

  Kaynak, Baran; Kaynak, Sümeyye; Uygun, Özer (IEEE, 2020)

  With Industry 4.0, IT infrastructure has started to be used more effectively in the manufacturing sector. Cyber physical systems, IoT, cloud manufacturing, big data are some of the technologies that make up the concept of ...
• Long noncoding RNA ERICD interacts with ARID3A via E2F1 and regulates migration and proliferation of osteosarcoma cells 

  Kaifee Arman; Khandakar A. S. M. Saadat; Yusuf Z. Igci; Esra Bozgeyik; Masa-Aki Ikeda; Ecir A. Cakmak; Arslan, Ahmet (WILEY, 2020)

  Long noncoding RNA (lncRNA) dysregulation is known to be taking part in majority of cancers, including osteosarcoma. In one of our previous studies, we showed that lncRNA MEG3 is being regulated by microRNA-664a (miR-664a) ...
• Crowd sensing aware disaster framework design with IoT technologies 

  Kerem Kucuk; Bayılmış, Cüneyt; Ahmet Furkan Sonmez; Kaçar, Sezgin (SPRINGER HEIDELBERG, 2020)

  When a disaster occurs, a huge amount of inconsistent victim or damage information data is received by many different sources. Disaster management systems achieve the completion of a significantly vital task, which is to ...
• Cloud Manufacturing Architecture Based on Public Blockchain Technology 

  Kaynak, Baran; Kaynak, Sümeyye; Uygun, Özer (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)

  With Industry 4.0, IT infrastructure has started to be used more effectively in the manufacturing sector. Cyber physical systems, IoT, cloud manufacturing, big data are some of the technologies that make up the concept of ...
• Fuzzy Logic and Image Compression Based Energy Efficient Application Layer Algorithm for Wireless Multimedia Sensor Networks 

  Arafat Senturk; Resul Kara; Özçelik, İbrahim (COMSIS CONSORTIUM, 2020)

  Wireless Sensor Networks (WSN) are the networks that can realize data processing and computation skills of sensor nodes over the wireless channel and they have several communication devices. Wireless Multimedia Sensor ...
• A 3-stage fuzzy-decision tree model for traffic signal optimization in urban city via a SDN based VANET architecture 

  Balta, Musa; Özçelik, İbrahim (ELSEVIER, 2020)

  One of the main challenges for developed cities is vehicle traffic and its management. Because of physical structures and cross roads of urban intersections, traffic flows may cause time delay, congestion, traffic accidents ...
• Designing real-time IoT system course: Prototyping with cloud platforms, laboratory experiments and term project 

  Kerem Kucuk; Bayılmış, Cüneyt; Dawson Ladislaus Msongaleli (SAGE PUBLICATIONS LTD, 2019)

  The Internet of things (IoT) is the next technological revolution that includes many industries and applications. IoT can offer solutions for many problems. However, it requires many skills from different disciplines that ...
• Theoretical studies on molecular structure and vibrational spectra of 8-hydroxyquinolinium picrate (vol 79, pg 1425, 2011) 

  Başoğlu, Adil; Avcı, Davut; Atalay, Yusuf; Çelik, Fatih; T. Sahinbas (PERGAMON-ELSEVIER SCIENCE LTD, 2019)
• Forecasting Uganda's Net Electricity Consumption Using a Hybrid PSO-ABC Algorithm 

  Abdal Kasule; Ayan, Kürşat (SPRINGER HEIDELBERG, 2019)

  Long-term electricity consumption forecasting is used by decision makers to make decisions regarding system expansion planning. Over the past decade, research on electricity consumption forecasting has reported results as ...

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