ISSN: 1300-7009
e-ISSN: 2147-5881
Founded: 1995
Period: Bimonthly
Publisher: Pamukkale University
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Welcome to the Turkish JournalPark web page of Pamukkale University Journal of Engineering Sciences.

Pamukkale University Journal of Engineering Sciences was first started to publish in 1995 under the name of “Journal of Engineering Sciences” (ISSN: 1300-7009). In 2009, name of the journal was changed as "Pamukkale University Journal of Engineering Sciences" which is still used. The journal was published 3 printed issues per year until 2013 and after 2013 this value is increased to 6 online issues per year as e-Journal (ISSN: 2147-5881). In 2014, the publication schedule was updated again to provide subject consistency and started to publish 7 issues per year.


All manuscript submission and evaluation processes are performed online at http://pajes.pau.edu.tr/eng/

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As of 2018 (V:24 – I:1) Pamukkale University Journal of Engineering Sciences (PAJES - Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi) has been nominated to be indexed and abstracted by Emerging Sources Citation Index, which is an indexing service provided by  Clarivate Analytics. We are pleased to inform you that we are grateful to your preference for priceless contribution to science with publishing your research in Pamukkale University Journal of Engineering Sciences (PAJES).

2021 - Volume: 27 Issue: 5

Research Article

1. An effective method to use centralized Q-learning in multi-robot task allocation

Research Article

3. Yük hücresi temelli iki tekerlekli denge robotunun PID kontrolör kullanarak gerçek zamanlı kontrolü

Research Article

4. Resource sharing and scheduling in device-to-device communication underlying cellular network

Research Article

5. Image quality assessment based on manifold distortion

Research Article

6. Wheat kernels classification using visible-near infrared camera based on deep learning

Review

7. Technology in nursing education: Augmented reality

Research Article

8. Plant identification with convolutional neural networks and transfer learning

Research Article

9. Düşük maliyetli EEG başlıklarının kullanıcı deneyimi değerlendirmesi

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