Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 321-340 / 450
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Predictability and the modern maritime environment
(2023)With the continuously increasing competition in the shipping industry, it is of utmost importance that each part of the vessel performs safely and efficiently. This thesis targets the main engines as delivered by MAN Energy ... -
Predicting 3D asset popularity using regression analysis
(2024)Ohjelmointirajapinnasta kerätyn datan avulla opinnäytetyö pyrkii selvittämään niitä kvantitatiivisia parametrejä, joilla voidaan ennustaa ja selittää tiettyjen 3D-mallien suosiota. Näiden parametrien ja piirteiden tunnistaminen ... -
Predicting budget adequacy: a case study for Kieku data
(2023)Machine learning (ML) has gained popularity in the recent years due to increasing availability in computing power and tools such as ChatGPT. This created more interest in ML and companies started to invest in the related ... -
Predicting customer purchase intent with machine learning
(2024)Targeted marketing can be enhanced by predicting customer purchase intent. One approach to achieving accurate predictions is by training a Machine Learning model for the problem. The objective of this thesis was to ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Predicting fine particulate matter levels in Finnish buildings
(2019)Fine particulate matter (PM 2.5 ) is considered one of the most harmful air pollutants. While a large proportion of the particles is originating from outdoor sources, people are mostly exposed while indoors. Predicting ... -
Predicting Mortality of Intensive Care Patients with Machine Learning Using Electronic Health Record and Non-Invasive Signals
(2021)This study proposes a novel approach for applying the Electronic Health Record (EHR) data and biomedical signals to predict patient mortality in the Intensive Care Unit (ICU) using machine learning and deep learning models. ... -
Predicting Rett Syndrome : By leveraging Genetic variation and Phenotypic characteristics
(2024)This thesis is motivated by personal experience with the author's own child, who is affected by Rett syndrome. Rett syndrome is a rare and complex neurological genetic disorder. It is typically observed in girls from birth ... -
Predicting the Duration of User Stories, Machine learning for agile planning
(2020)Effective effort estimation in project planning is vital, because it helps organizations to build product plans which they can stick to, have shorter turn-around time and better cost discipline. In this thesis, a series ... -
Predicting the Performance of Football Teams in the Italian Serie A League Using Neural Networks and Machine Learning Methods through Historical Data Analysis
(2024)The aim of this thesis is designing several prediction models based on machine learning algorithms and neural networks methods to predict the performance of football teams, their final ranking and the champion of Serie A ... -
Predicting the status of flights using data analysis and machine learning
(2023)As the travel industry grows, so do the demanding aspects of air transport. The accuracy of flight status is critical to the travelling experience of passengers, the scheduling of airlines and the cost of airport operations. ... -
Prediction of outdoor thermal comfort changes and uncovering mitigation strategies based on machine learning algorithm : a decision support tool for climate-sensitive design : a case study of Glasgow, UK
(2022)Cities are becoming increasingly warm as a result of climate change and increasing population (Dimoudi et al., 2013). It forewarns severe weather and climate catastrophes happening considerably sooner than initially ... -
Prediction of spot prices in Nord Pool's Day-ahead market using machine and deep learning
(Springer, 2020)Aim of this paper is to describe and compare the machine learning and deep learning based forecasting models that predict Spot prices in Nord Pool’s Day-ahead market in Finland with open-source software. The liberalization ... -
Predictive Analytics in Healthcare : utilising big data for disease prevention and treatment
(2024)The objective of this thesis was to research the use of predictive analytics in healthcare, specifically focusing on the utilisation of big data for disease prevention and treatment. This thesis highlights the significant ... -
Predictive maintenance for life science industry
(2024)This thesis addresses the application of predictive maintenance techniques in the context of continuous monitoring systems within the Life Science industry. The business challenge revolves around optimizing system reliability ... -
Predictive Maintenance Model of Rotating Machinery Using AI
(2024)The primary objective of this thesis is to formulate a predictive maintenance framework capable of effectively monitoring and analysing the operational status of diverse rotating machinery. This framework is designed to ... -
Predictive modelling for low-quality data
(2020)The major objective of this paper is to examine possible solutions that can be potentially beneficial in dealing with noise and insufficiency of data in the domain of predictive modelling, and to perform regression analysis ... -
Predictive Modelling to Calculate the Need for Office Space
(2024)Remote work or hybrid work after the pandemic is the new default in people's workplaces and many have been making good home offices themselves. This is why increasingly many offices are empty most of the time. This kind ... -
Prescriptive Analytics in Healthcare:Advanced Decision Making for Optimal Treatment
(2024)This thesis explored the potential of prescriptive analytics to revolutionize healthcare decision-making. It began by highlighting the limitations of traditional, one-size-fits-all treatment approaches and the growing ... -
Pretrained Neural Networks in HSC Chemistry Sim
(2024)Many researchers are familiar with the Python programming language and can create machine learning models using popular third-party tools such as TensorFlow and PyTorch. Unfortunately, the use of these models in HSC Sim ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Quantifying the effect of anthropogenic and climate parameters on urban heat island using machine learning
(2022)The intensity of UHI in today's developed areas indicates the extent of environmental modification. Replacing natural surfaces with artificial materials has been the main difference between rural and urban areas. Therefore, ...

















