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Recent Submissions

  • النظام القانوني لبراءات الاختراع في التشريع القطري : دراسة تحليلية لأحكام براءة الاختراع في القانون القطري الجديد 

    زين الدين, صلاح; الطراونة, مصلح أحمد ( مجلس النشر العلمي - جامعة الكويت , 2010 , Article)
    تنصب هذه الدراسة ، على بيان النظام القانوني للاختراع في قانون براءات الاختراع القطري الجديد رقم 30 لسنة 2006 م" الأمر الذي اقتضى بحث مفهوم الاختراع والبراءة ، والشروط الموضوعيه والشكلية للاختراع . وكذلك حقوق صاحب البراءة ...
  • A Firewall Policy Anomaly Detection Framework for Reliable Network Security 

    Togay, Cengiz; Kasif, Ahmet; Catal, Cagatay; Tekinerdogan, Bedir ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
    One of the key challenges in computer networks is network security. For securing the network, various solutions have been proposed, including network security protocols and firewalls. In the case of so-called packet-filtering ...
  • A decision support system for automating document retrieval and citation screening 

    van Dinter, Raymon; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2021 , Article)
    The systematic literature review (SLR) process includes several steps to collect secondary data and analyze it to answer research questions. In this context, the document retrieval and primary study selection steps are ...
  • Obstacles and features of health information systems: A systematic literature review 

    Tummers, J.; Tekinerdogan, B.; Tobi, H.; Catal, C.; Schalk, B. ( Elsevier , 2021 , Article Review)
    Background: Currently many healthcare systems are supported by an increasing set of Health Information Sys-tems (HISs), which assist the activities for multiple stakeholders. The literature on HISs is, however, fragmented ...
  • Energy load forecasting using a dual-stage attention-based recurrent neural network 

    Ozcan, Alper; Catal, Cagatay; Kasif, Ahmet ( MDPI , 2021 , Article)
    Providing a stable, low-price, and safe supply of energy to end-users is a challenging task. The energy service providers are affected by several events such as weather, volatility, and special events. As such, the prediction ...
  • Designing a reference architecture for health information systems 

    Tummers, Joep; Tobi, Hilde; Catal, Cagatay; Tekinerdogan, Bedir ( BioMed Central Ltd , 2021 , Article)
    Background: Healthcare relies on health information systems (HISs) to support the care and receive reimbursement for the care provided. Healthcare providers experience many problems with their HISs due to improper architecture ...
  • A feature-based approach for guiding the selection of Internet of Things cybersecurity standards using text mining 

    van der Schaaf, Koen; Tekinerdogan, Bedir; Catal, Cagatay ( John Wiley and Sons Ltd , 2021 , Article)
    Cybersecurity is critical in realizing Internet of Things (IoT) applications and many different standards have been introduced specifically for this purpose. However, selecting relevant standards is not trivial and requires ...
  • A Multi-Channel Convolutional Neural Network approach to automate the citation screening process 

    van Dinter, Raymon; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2021 , Article)
    The systematic literature review (SLR) process is separated into several steps to increase rigor and reproducibility. The selection of primary studies (i.e., citation screening) is an important step in the SLR process. The ...
  • Predictive maintenance using digital twins: A systematic literature review 

    van Dinter, Raymon; Tekinerdogan, Bedir; Catal, Cagatay ( Elsevier , 2022 , Article Review)
    Context: Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine ...
  • Automation of systematic literature reviews: A systematic literature review 

    van Dinter, Raymon; Tekinerdogan, Bedir; Catal, Cagatay ( Elsevier , 2021 , Article Review)
    Context: Systematic Literature Review (SLR) studies aim to identify relevant primary papers, extract the required data, analyze, and synthesize results to gain further and broader insight into the investigated domain. ...
  • Smart warehouses: Rationale, challenges and solution directions 

    van Geest, Maarten; Tekinerdogan, Bedir; Catal, Cagatay ( MDPI , 2022 , Article Review)
    Smart warehouses aim to increase the overall service quality, productivity, and efficiency of the warehouse while minimizing costs and failures. In recent years, several studies have proposed and discussed different types ...
  • ADS-B Attack Classification using Machine Learning Techniques 

    Kacem, Thabet; Kaya, Aydin; Seydi Keceli, Ali; Catal, Cagatay; Wijsekera, Duminda; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
    Automatic Dependent Surveillance Broadcast (ADS-B) is one of the most prominent protocols in Air Traffic Control (ATC). Its key advantages derive from using GPS as a location provider, resulting in better location accuracy ...
  • Deep learning-based multi-task prediction system for plant disease and species detection 

    Keceli, Ali Seydi; Kaya, Aydin; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2022 , Article)
    The manual prediction of plant species and plant diseases is expensive, time-consuming, and requires expertise that is not always available. Automated approaches, including machine learning and deep learning, are increasingly ...
  • Product failure detection for production lines using a data-driven model 

    Kang, Ziqiu; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2022 , Article)
    For a healthy production line, it is essential to ensure a low failure rate of products. Product quality in production lines can be inspected using several techniques at the end of a production process, including a manual ...
  • A hybrid DNN-LSTM model for detecting phishing URLs 

    Ozcan, Alper; Catal, Cagatay; Donmez, Emrah; Senturk, Behcet ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
    Phishing is an attack targeting to imitate the official websites of corporations such as banks, e-commerce, financial institutions, and governmental institutions. Phishing websites aim to access and retrieve users' important ...
  • Hybrid Deep Learning-based Models for Crop Yield Prediction 

    Oikonomidis, Alexandros; Catal, Cagatay; Kassahun, Ayalew ( Taylor and Francis Ltd. , 2022 , Article)
    Predicting crop yield is a complex task since it depends on multiple factors. Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must ...
  • Data analytics platforms for agricultural systems: A systematic literature review 

    Nyoman Kutha Krisnawijaya, Ngakan; Tekinerdogan, Bedir; Catal, Cagatay; Tol, Rik van der ( Elsevier , 2022 , Article Review)
    With the rapid developments in ICT, the current agriculture businesses have become increasingly data-driven and are supported by advanced data analytics techniques. In this context, several studies have investigated the ...
  • Deep learning for crop yield prediction: a systematic literature review 

    Oikonomidis, Alexandros; Catal, Cagatay; Kassahun, Ayalew ( Taylor and Francis Ltd. , 2022 , Article Review)
    Deep Learning has been applied for the crop yield prediction problem, however, there is a lack of systematic analysis of the studies. Therefore, this study aims to provide an overview of the state-of-the-art application ...
  • Precision nutrition: A systematic literature review 

    Kirk, Daniel; Catal, Cagatay; Tekinerdogan, Bedir ( Elsevier , 2021 , Article Review)
    Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a ...
  • A Real-Time CNN-Based Lightweight Mobile Masked Face Recognition System 

    Kocacinar, Busra; Tas, Bilal; Akbulut, Fatma Patlar; Catal, Cagatay; Mishra, Deepti ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
    Due to the global spread of the Covid-19 virus and its variants, new needs and problems have emerged during the pandemic that deeply affects our lives. Wearing masks as the most effective measure to prevent the spread and ...

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