Search Results - "Karabey Aksakallı, Işıl"

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  1. 1

    Micro‐IDE: A tool platform for generating efficient deployment alternatives based on microservices by Karabey Aksakallı, Işıl, Çelik, Turgay, Can, Ahmet Burak, Tekinerdoğan, Bedir

    Published in Software, practice & experience (01-07-2022)
    “…Microservice architecture (MSA) is a paradigm to design and develop scalable distributed applications using loosely coupled, highly cohesive components that…”
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    Journal Article
  2. 2

    Text classification-based petition recognition and routing system: a Turkish case study by Sancar, Yasin, Karabey Aksakallı, Işıl, Karacalı, Tevhit

    “…Large-scale enterprises include many units and various electronic petitions are manually submitted to the relevant units by authorized staff. However, this…”
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    Journal Article
  3. 3

    Exploring the Effect of Image Enhancement Techniques with Deep Neural Networks on Direct Urinary System X‐Ray (DUSX) Images for Automated Kidney Stone Detection by Kilic, Ugur, Karabey Aksakalli, Isil, Tumuklu Ozyer, Gulsah, Aksakalli, Tugay, Ozyer, Baris, Adanur, Senol

    “…In diagnosing kidney stone disease, clinical specialists often apply medical imaging techniques such as CT, X‐Ray and US. Among these imaging techniques, X‐Ray…”
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    Journal Article
  4. 4

    Deployment and communication patterns in microservice architectures: A systematic literature review by Karabey Aksakalli, Işıl, Çelik, Turgay, Can, Ahmet Burak, Teki̇nerdoğan, Bedir

    Published in The Journal of systems and software (01-10-2021)
    “…Microservice is an architectural style that separates large systems into small functional units to provide better modularity. A key challenge of microservice…”
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    Journal Article
  5. 5

    Görme yetersizliği olan bireyler için derin öğrenme tabanlı ürün sınıflandırma sistemi by Keskin, Fatma Betül, Bayğın, Nursena, Karabey Aksakallı, Işıl, Çomaklı Sökmen, Özlem

    “…Görme yetersizliğine sahip bireylerin hayatını kolaylaştırmak ve diğer bireylere bağımlılıklarını en aza indirmek amacıyla market raflarının ve ürünlerin…”
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    Journal Article
  6. 6

    Systematic Approach for Generation of Feasible Deployment Alternatives for Microservices by Aksakalli, Isil Karabey, Celik, Turgay, Can, Ahmet Burak, Tekinerdogan, Bedir

    Published in IEEE access (2021)
    “…Microservice architectures rely on the development of modular and independent software units, which typically address a single task and communicate with other…”
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    Journal Article
  7. 7

    A Model-Driven Architecture for Automated Deployment of Microservices by Aksakalli, Isil Karabey, Celik, Turgay, Can, Ahmet Burak, Tekinerdogan, Bedir

    Published in Applied sciences (01-10-2021)
    “…Microservice architecture consists of a collection of loosely coupled, self-contained services that can be deployed independently. Given the limited capacity…”
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    Journal Article
  8. 8

    Deep Learning Based Lesion Detection on Dental Panoramic Radiographs by Demir, Kubra, Aksakalli, Isil Karabey, Baygin, Nursena, Sokmen, Ozlem Comakli

    “…With the development of technology, one of the new breakthroughs in the health field has been dental lesion detection. Dental lesion occurs with tissue changes…”
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    Conference Proceeding
  9. 9
  10. 10

    Exploring the Effect of Image Enhancement Techniques with Deep Neural Networks on Direct Urinary System (DUSX) Images for Automated Kidney Stone Detection by Kilic, Ugur, Karabey Aksakalli, Isil, Tumuklu Ozyer, Gulsah, Aksakalli, Tugay, Ozyer, Baris, Adanur, Senol

    “…In diagnosing kidney stone disease, clinical specialists often apply medical imaging techniques such as CT and US. Among these imaging techniques, is…”
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    Journal Article
  11. 11

    Prediction of spontaneous distal ureteral stone passage using artificial intelligence by Aksakalli, Tugay, Aksakalli, Isil Karabey, Cinislioglu, Ahmet Emre, Utlu, Adem, Demirdogen, Saban Oguz, Celik, Feyzullah, Karabulut, Ibrahim

    Published in International urology and nephrology (01-07-2024)
    “…Purpose Identifying factors predicting the spontaneous passage of distal ureteral stones and evaluating the effectiveness of artificial intelligence in…”
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    Journal Article
  12. 12

    Deep Learning Based Mobile Platform for Predicting Passenger Congestion in Public Transportation by Kavanoz, Abdulkerim, Kosak, Halil Ibrahim, Aksakalli, Isil Karabey, Bayindir, Levent

    “…Population growth in Turkey has led to significant congestion in transportation systems. This congestion results in delays for individuals using public…”
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    Conference Proceeding