College of Engineering: Recent submissions
Now showing items 3141-3160 of 8739
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Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review
( MDPI , 2022 , Article Review)Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be ... -
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 ... -
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 for crop yield prediction: a systematic literature review
( 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 ... -
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 ... -
Hybrid Deep Learning-based Models for Crop Yield Prediction
( 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 ... -
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 ... -
ADS-B Attack Classification using Machine Learning Techniques
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference)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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...
