Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 421-440 / 450
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Unsupervised Machine Learning Anomaly Detection for Multivariate Time-Series Data in Wind Turbine Converters
(2020)Because wind power is one the main clean energy sources, the demand for wind generated energy has been rapidly increasing all over the world. As wind turbine converter is one of the key components in wind turbine, it is ... -
Unveiling the future: how Sri Lanka's banking sector is leveraging AI-powered applications for enhancing customer experience
(2024)This study is done with the purpose of identifying and improving the use of AI-Powered applications to enhance customer experience in the Sri Lankan banking sector. This study aims to make recommendations to improve the ... -
Use of Artificial Intelligence in Construction
(2023)Artificial Intelligence (AI) has been involved in the construction industry research since 1974, and it has gained exponential growth in research interest starting in the 21st century. Artificial Intelligence is divided ... -
Use of artificial intelligence in nursing
(2023)The purpose of the thesis is to explore the concepts of Artificial Intelligence (AI), its application, advantages, challenges, possible measures of integrating AI into nursing practice as well as the ethical considerations. ... -
Use of supervised machine learning algorithms for predictions of values theoretically
(2022)The work has discussed the use of machine learning algorithms in the development of automated models such that they will be able to provide a great deal of assistance to humans and remove the dependency on the human being. ... -
User experience on speech recognition in serious games : case study: ExerGo
(2021)The thesis aimed to investigate the advantages and disadvantages of implementing speech recognition in a serious game. Moreover, it purposed to measure factors that could affect the user experience while users were playing ... -
Using a Chatbot to Increase Tourists’ Engagement
(2020)Technological innovations like Artificial intelligence (AI) are increasing efficiency every day across many industrial sectors. Few industries can compare to how much Artificial Intelligence (AI) has improved the tourism ... -
Using Artificial Intelligence (AI) to Manage Buyer Persona in E-commerce based on Kotler & Keller’s 2016 Model of Consumer Behaviour: Studying Consumer behaviour in E-commerce through Archival Research based on Secondary Data in form of Relevant Publications.
(2024)Consumer behaviour has long been an interesting area of research, particularly in the rapidly evolving e- commerce environment, where technological advancements have created new opportunities and challenges. Understanding ... -
Using Artificial Intelligence to positively impact the beer brewing process
(2021)The beer brewing industry has always been a creative and innovative one, with new beers being introduced to the market each year. Even though the COVID-19 pandemic crisis has truly tested the hospitality industry e.g. ... -
Using custom data quality maturity tool for improving data quality in an organization
(2023)Data is money, and bad data is loss of money. Nowadays, huge amount of data is created, and the amount of data is expected to increase in the future. This data is used for traditional reporting and decision making, but ... -
Using machine learning to find optimal beam groups
(2023)The object of the thesis was to use machine learning to find optimal radio beams that work together without interfering each other. Stochastic hill climbing and genetic algorithm were used to find optimal beam groups from ... -
Using Machine Learning to Predict On-Time Delivery
(2022)The objective of this study is to create a ML algorithm to predict the On-Time Delivery (OTD) for Wärtsilä Global Logistics (WGLS). WGLS uses OTD to measure service efficiency and improve customer satisfaction. However, ... -
Using machine learning to predict purchase potential from customer data
(2022)This thesis was commissioned by an accounting firm company which sells consultancy services for their customers. The company wanted to gain an understanding of which customer attributes affected the purchase decisions, how ... -
Using market and news data to predict price movement of stocks
(2019)Until recently, investing use to be the domain of human experts. However, many domains where it was thought that artificial intelligence could not compete with human experts turned out that the assumption was wrong. ... -
Utility of artificial intelligence in diabetes self-management, a narrative literature review
(2022)This thesis looks at the utility of Artificial Intelligence (AI) for diabetes self-management and in particular, for diet and physical activity management. The research method used is a narrative literature review through ... -
Utilization of Predictive Analytics for Metsä Tissue’s Forecasting Process
(2022)In this research-oriented bachelor's thesis, the results of predictive analytics in Metsä Tissue's forecasting process were examined from several perspectives. The aim of this study was to outline whether predictive analytics ... -
Utilizing Artificial Intelligence in Software Testing
(2019)Artificial Intelligence has become more and more important part of computer science and IT business. Anyhow, it has not been used in the software testing widely. At the same time the demand for using the test automation ... -
Utilizing Google’s Machine Learning Kit in Developing Android Application
(2024)In recent years, machine learning technology can be found in almost every of area of life. As the need for machine learning integration into mobile application has become increasingly relevant, a question arises: Do ... -
Utilizing Large Language Models as No-code Interface in a Software Development Toolkit
(2023)Large language models and their applications, such as ChatGPT and Bing AI, have gained much hype and visibility in media in past months (winter 2022–2023). Big companies like Microsoft, OpenAI, Meta and now Google have ... -
Utilizing Open-Source AI to Navigate and Interpret Technical Documents : leveraging RAG models for enhanced analysis and solutions in product documentation
(2024)This thesis investigates the application of Retrieval-Augmented Generation (RAG) systems for the analysis of extensive technical product manuals, particularly in the context of VEO, a company specializing in electrification ...



















