• 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 ...
    • 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 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 ...
    • 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 ...
    • Analysis of cyber security knowledge gaps based on cyber security body of knowledge 

      Catal, Cagatay; Ozcan, Alper; Donmez, Emrah; Kasif, Ahmet ( Springer , 2022 , Article)
      Due to the increasing number of cyber incidents and overwhelming skills shortage, it is required to evaluate the knowledge gap between cyber security education and industrial needs. As such, the objective of this study is ...
    • Applications of deep learning for mobile malware detection: A systematic literature review 

      Catal, Cagatay; Giray, Görkem; Tekinerdogan, Bedir ( Springer Science and Business Media Deutschland GmbH , 2022 , Article Review)
      For detecting and resolving the various types of malware, novel techniques are proposed, among which deep learning algorithms play a crucial role. Although there has been a lot of research on the development of DL-based ...
    • Applications of deep learning for phishing detection: a systematic literature review 

      Catal, Cagatay; Giray, Görkem; Tekinerdogan, Bedir; Kumar, Sandeep; Shukla, Suyash ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      Phishing attacks aim to steal confidential information using sophisticated methods, techniques, and tools such as phishing through content injection, social engineering, online social networks, and mobile applications. To ...
    • 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. ...
    • 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 ...
    • 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 ...
    • Deep Learning-Based Defect Prediction for Mobile Applications 

      Jorayeva, Manzura; Akbulut, Akhan; Catal, Cagatay; Mishra, Alok ( MDPI , 2022 , Article)
      Smartphones have enabled the widespread use of mobile applications. However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience. To avoid this, the defects ...
    • 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 ...
    • 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 ...
    • Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review 

      Ehsan, Adeel; Catal, Cagatay; Mishra, Alok ( MDPI , 2022 , Article Review)
      Smartphone adaptation in society has been progressing at a very high speed. Having the ability to run on a vast variety of devices, much of the user base possesses an Android phone. Its popularity and flexibility have ...
    • 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 ...
    • Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review 

      Alkhateeb, Ahmed; Catal, Cagatay; Kar, Gorkem; Mishra, Alok ( MDPI , 2022 , Article Review)
      In recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for ...
    • 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 ...
    • Identification of phantom movements with an ensemble learning approach 

      Akbulut, Akhan; Gungor, Feray; Tarakci, Ela; Aydin, Muhammed Ali; Zaim, Abdul Halim; ... more authors ( Elsevier , 2022 , Article)
      Phantom limb pain after amputation is a debilitating condition that negatively affects activities of daily life and the quality of life of amputees. Most amputees are able to control the movement of the missing limb, which ...