Konu "Machine learning" için Mühendislik Fakültesi listeleme
Toplam kayıt 11, listelenen: 1-11
-
Classification of new titles by two stage latent dirichlet allocation
(Ieee, 2018)With the rapid development of the Internet, thousands of different news reports from different channels are presented to us. So much news, particularly in the media sector, is an important question to be categorized and ... -
A data-driven predictive maintenance model to estimate RUL in a multi-rotor UAS
(Sage Publications, 2023)Unmanned Aircraft Systems (UAS) has become widespread over the last decade in various commercial or personal applications such as entertainment, transportation, search and rescue. However, this emerging growth has led to ... -
Increasing the performance of a hospital department with budget allocation model and machine learning assisted by simulation
(Taylor & Francis Inc., 2024)The COVID-19 pandemic highlighted the critical need for efficient resource management in healthcare. In this study, the internal medicine outpatient clinic in a hospital is modelled by simulation method. Appropriate ... -
Machine learning based feature optimization and early detection system in heart diseases
(IEEE, 2023)In today's world, humanity faces a myriad of challenges, many of which pose significant threats to our well-being. Chief among these challenges are health-related issues. Among these health problems, heart diseases stand ... -
Machine learning driven optimization and parameter selection of multi-surface HTS Maglev
(Elsevier, 2024)This research aims to tackle the challenges posed by precise force measurement for high temperature superconducting (HTS) Maglev systems, including mechanical constraints, step motor limitations, and sensor resolutions. ... -
Machine learning models to estimate the elastic modulus of weathered magmatic rocks
(Springer, 2021)In recent years, several soft computing models have been proposed to estimate the elastic modulus of magmatic rocks. However, there are lacks in models that consider the different weathering degrees in determining the ... -
A method to classify steel plate faults based on ensemble learning
(2022)With the industrial revolution 4.0, machine learning methods are widely used in all aspects of manufacturing to perform quality prediction, fault diagnosis, or maintenance. In the steel industry, it is important to ... -
Neuro-inspired hardware solutions for high-performance computing: A TiO2-based nano-synaptic device approach with backpropagation
(Elsevier, 2024)Computer-based machine learning algorithms that produce impressive performance results are computationally demanding and thus subject to high energy consumption during training and testing. Therefore, compact neuro-inspired ... -
A novel framework for strength prediction of geopolymer mortar: Renovative precursor effect
(Elsevier, 2023)Concrete is the most used building material today as it has many advantages due to its structure. Geopolymer composites could potentially replace concrete in the future due to the demands of the construction industry. The ... -
Predicting mechanical properties in geopolymer mortars, including novel precursor combinations, through XGBoost method
(Springer, 2024)Concrete is the most widely used material in the building industry due to its affordability, durability, and strength. However, considering carbon emissions, it is believed that concrete will be replaced by geopolymers in ... -
Stacked ensemble modeling for improved tuberculosis treatment outcome prediction in pediatric cases
(Wiley, 2024)The promising results of ML (machine learning) methods in various disciplines have led to the frequent use of these methods in health fields such as disease diagnosis, personalized medicine, medical image-based diagnosis, ...