College of Engineering: Recent submissions
Now showing items 2781-2800 of 8384
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
RESTful API Testing Methodologies: Rationale, Challenges, and Solution Directions
( MDPI , 2022 , Article Review)Service-oriented architecture has evolved to be the backbone for large-scale integration between different applications and platforms. This concept has led to today's reality of cloud services. Many of the major business ... -
Deep Learning-Based Defect Prediction for Mobile Applications
( MDPI , 2022 , Article)Smartphones have enabled the widespread use of mobile applications. However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience. To avoid this, the defects ... -
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 ... -
Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review
( MDPI , 2022 , Article Review)Smartphone adaptation in society has been progressing at a very high speed. Having the ability to run on a vast variety of devices, much of the user base possesses an Android phone. Its popularity and flexibility have ... -
Design of a data management reference architecture for sustainable agriculture
( MDPI , 2021 , Article)Effective and efficient data management is crucial for smart farming and precision agri-culture. To realize operational efficiency, full automation, and high productivity in agricultural systems, different kinds of data ... -
Software security management in critical infrastructures: a systematic literature review
( Turkiye Klinikleri , 2022 , Article Review)Critical infrastructure (CI) is an integrated set of systems and assets that are essential to ensure the functioning of a nation, including its economy, the public's health and/or safety. Hence, protecting critical ... -
Computer vision-based weight estimation of livestock: a systematic literature review
( Taylor and Francis Ltd. , 2022 , Article Review)Body weight measurement of animals is often labor-intensive for farmers and stressful for animals. To this end, several methods have been researched and implemented to automate this process. In this study, we performed a ... -
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 ...
