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ADS-B Attack Classification using Machine Learning Techniques
(
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 ...
Image-based body mass prediction of heifers using deep neural networks
(
Academic Press
, 2021 , Article)
Manual weighing of heifers is time-consuming, labour-intensive, expensive, and can be dangerous and risky for both humans and animals because it requires the animal to be stationary. To overcome this problem, automated ...
A hybrid DNN-LSTM model for detecting phishing URLs
(
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 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 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 ...
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 ...
Energy load forecasting using a dual-stage attention-based recurrent neural network
(
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 ...
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 ...
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. ...
Malware detection based on graph attention networks for intelligent transportation systems
(
MDPI
, 2021 , Article)
Intelligent Transportation Systems (ITS) aim to make transportation smarter, safer, reliable, and environmentally friendly without detrimentally affecting the service quality. ITS can face security issues due to their ...