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Recent Submissions

  • 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 ...
  • 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 ...
  • 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 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Systematic reviews in sentiment analysis: a tertiary study 

    Ligthart, Alexander; Catal, Cagatay; Tekinerdogan, Bedir ( Springer Science and Business Media B.V. , 2021 , Article)
    With advanced digitalisation, we can observe a massive increase of user-generated content on the web that provides opinions of people on different subjects. Sentiment analysis is the computational study of analysing people's ...
  • 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 ...
  • Remaining useful life (Rul) prediction of equipment in production lines using artificial neural networks 

    Kang, Ziqiu; Catal, Cagatay; Tekinerdogan, Bedir ( MDPI , 2021 , Article)
    Predictive maintenance of production lines is important to early detect possible defects and thus identify and apply the required maintenance activities to avoid possible breakdowns. An important concern in predictive ...
  • Dairy Farm Management Information Systems 

    Kassahun, Ayalew; Bloo, Robbin; Catal, Cagatay; Mishra, Alok ( MDPI , 2022 , Article)
    Nowadays, different types of farm management information systems (FMIS) are being used in practice in several sectors of farming, such as dairy, arable, fruits, vegetables, and meat farming. The goal of this research is ...
  • 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 ...
  • 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 ...
  • Techniques for calculating software product metrics threshold values: A systematic mapping study 

    Mishra, Alok; Shatnawi, Raed; Catal, Cagatay; Akbulut, Akhan ( MDPI , 2021 , Article)
    Several aspects of software product quality can be assessed and measured using product metrics. Without software metric threshold values, it is difficult to evaluate different aspects of quality. To this end, the interest ...

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