Browsing by Author "Tekinerdogan, Bedir"
Now showing items 1-18 of 18
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A decision support system for automating document retrieval and citation screening
( 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
( 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
( 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 Multi-Channel Convolutional Neural Network approach to automate the citation screening process
( 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 ... -
Applications of deep learning for mobile malware detection: A systematic literature review
( 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
( 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
( 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. ... -
Data analytics platforms for agricultural systems: A systematic literature review
( 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-based multi-task prediction system for plant disease and species detection
( 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
( 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 ... -
Precision nutrition: A systematic literature review
( 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 ... -
Predicting Plasma Vitamin C Using Machine Learning
( Taylor and Francis Ltd. , 2022 , Article)Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. In many cases, being able to predict ... -
Predictive maintenance using digital twins: A systematic literature review
( 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 ... -
Product failure detection for production lines using a data-driven model
( 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 ... -
Remaining useful life (Rul) prediction of equipment in production lines using artificial neural networks
( 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 ... -
Smart warehouses: Rationale, challenges and solution directions
( 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 ... -
Systematic reviews in sentiment analysis: a tertiary study
( 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 ... -
The automation of the development of classification models and improvement of model quality using feature engineering techniques
( Elsevier , 2023 , Article)Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. In this article, we propose a ...
