Browsing by Author "Catal, Cagatay"
Now showing items 21-34 of 34
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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 ... -
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 ... -
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 ... -
Metamorphic relation automation: Rationale, challenges, and solution directions
( John Wiley and Sons Ltd , 2022 , Article Review)Metamorphic testing addresses the issue of the oracle problem by comparing results transformation from multiple test executions. The relationship that governs the output transformation is called metamorphic relation. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Stress Detection Using Experience Sampling: A Systematic Mapping Study
( MDPI , 2022 , Article)Stress has been designated the "Health Epidemic of the 21st Century" by the World Health Organization and negatively affects the quality of individuals' lives by detracting most body systems. In today's world, different ... -
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 ... -
The automation of the development of classification models and improvement of model quality using feature engineering techniques
( 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 ...
