Computer Science & Engineering: Recent submissions
Now showing items 881-900 of 2402
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Signed Network Embedding with Dynamic Metric Learning
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Network embedding is an important method to learn low-dimensional vector representations of nodes in networks, which has wide-ranging applications in network analysis such as link prediction. Most existing network embedding ... -
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 ... -
Obstacles and features of health information systems: A systematic literature review
( 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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
Techniques for calculating software product metrics threshold values: A systematic mapping study
( 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 ... -
Dairy Farm Management Information Systems
( 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 ... -
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 ... -
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 ... -
A Real-Time CNN-Based Lightweight Mobile Masked Face Recognition System
( 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 ... -
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 ... -
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 ...
