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A Firewall Policy Anomaly Detection Framework for Reliable Network Security
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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 ...
Deep learning-based multi-task prediction system for plant disease and species detection
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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
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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 Multi-Channel Convolutional Neural Network approach to automate the citation screening process
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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 ...
Predicting Plasma Vitamin C Using Machine Learning
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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 ...
The automation of the development of classification models and improvement of model quality using feature engineering techniques
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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 ...
A feature-based approach for guiding the selection of Internet of Things cybersecurity standards using text mining
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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 decision support system for automating document retrieval and citation screening
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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 ...
Designing a reference architecture for health information systems
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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 ...
Remaining useful life (Rul) prediction of equipment in production lines using artificial neural networks
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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 ...