Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 261-280 / 450
-
Large Language Models and business applications in an R&D environment
(2024)The subject of this Thesis is usage of Generative AI and in particular Large Language Models (LLMs) within the R&D department of Mirka Power Tools. The research problem is to explore if R&D departments can improve productivity ... -
Large-scale Deep Learning by Distributed Training
(2019)This thesis is done as part of a service development task of distributed deep learning on the CSC provided infrastructure. The aim is to improve the readiness to provide a service for AI researchers who wish to scale out ... -
Laser-induced breakdown spectroscopy spectra analysis with deep learning
(2022)As the prices of equipment suitable for laser-induced breakdown spectroscopy (LIBS) have come down, more research and applications are being implemented with LIBS. One of the improvements that could be made in LIBS is the ... -
Layout Aware Textmaps: an approach to preserve two-dimensional textual structure of expense documents on machine learning based information extraction
(2023)Automatic information extraction from scanned receipts and invoices is a task that is both widely researched and adopted in various businesses. With an ever-increasing demand on improving performance of business processes, ... -
Learning by Playing: A Stock Market Simulation Game With Deep Reinforcement Learning-powered NPCs
(2024)The research explored Deep Reinforcement Learning (DRL) to enhance educational simulation games for business education, focusing on the stock market. The key challenge was integrating real-world data into an engaging ... -
Lecture summarizer: a tool for personalized learning and assessment
(2024)This thesis’s endeavour ventured into the development of a semi-automatic, artificial note-taker. Customer’s proposition was the summarization of attended academic lectures, due to their inability to mark down information ... -
Leveraging large language model for enhanced business analytics on AWS
(2024)In collaboration with one firm involved in the fast fashion world, the current research formed part of an exploratory research project. The project looked at how advanced cloud computing services and Large Language Models ... -
Listing Segmentation - A Research on Airbnb's Listing in Amsterdam
(2024)This thesis explores the transformative impact of Airbnb, a pioneer in the digital platform econ- omy, on the travel and lodging industry. This analysis focuses on Airbnb's activities in Amster- dam, investigating the ... -
Machine Learning Adoption : The Interplay of Cost, Time, and Systems Integration
(2024)The logistics sector, which has evolved from strategic military operations, is now shifting to a data-driven environment where the integration of digital and physical is crucial to remain competitive in the intricate sector ... -
Machine Learning aided Linux Kernel Code Analysis
(2024)Jokainen koodimuutos, jota ehdotetaan Linux-käyttöjärjestelmäytimeen, testataan monilla eri automaattisilla testeillä. Tästä huolimatta jokainen muutos on vaatinut ihmisten tekemän katselmoinnin. Johtuen rajallisesta ... -
Machine Learning and Artificial Intelligence in Data Visualization
(2023)The purpose of this thesis was to create an add-on for the LightningChart JS library to work with machine learning models. The thesis is aimed to be understandable for people unfamiliar with machine learning, while also ... -
Machine learning and mobile development
(2020)Viime vuosikymmenen aikana koneoppimisen suosio on kasvanut räjähdysmäisesti. Mahdollisia käyttötarkoituksia koneoppimiselle tutkitaan jatkuvasti monella eri tieteenalalla ja tämän vuoksi koneoppimista hyödyntävän ... -
Machine Learning Applied in Demand Forecasting and Supply Planning
(2024)Effective demand forecasting and supply planning are crucial elements in supply chain management. Inaccurate demand information in the supply chain often leads to suboptimal decision-making, resulting in inventory imbalances ... -
Machine Learning Approach to Classifying Finnish News Articles
(2020)This study investigates the possibility of classifying Finnish news articles with the methods of machine learning. The work aims to both save time otherwise spent in performing the task manually, and to improve the quality ... -
Machine Learning Based Home Automation
(2024)The integration of machine learning algorithms into home automation systems represents a significant advancement in modern living. This research explores how machine learning can enhance user experience and optimize energy ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Machine learning for assessing chloride resistance of concrete
(2022)Predicting the chloride resistance property of concrete accurately is critical in structural engineering. This thesis project adopts a state-of-the-art machine learning algorithm, XGBoost, to predict the chloride migration ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Machine Learning for Efficacy Improvements in Automated Decision-Making in Financial Trading: using SigTech platform
(2022)Machine Learning (ML) for finance is a fruitful approach to detect patterns in data. However, when it comes to predicting financial markets based on financial data with a low signal-to-noise ratio, it has been shown to be ... -
Machine Learning for Small Data : A Comprehensive Study with the Case of Sovereign Debt Default Forecasting
(2024)This study explores the application of machine learning to forecast sovereign debt default likelihood. Challenges include a limited sample size of 8175 country-year observations across 180 countries from 1970 to 2019, high ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Machine Learning in Depth: How People Perceive their Future with Thinking Computer Systems
(2019)Machine Learning and Artificial Intelligence have undoubtedly been the buzzwords in the field of technology and science. Though they have been around for some for approximately 70 years, it has been gaining more widespread ... -
Machine Learning in Personalization
(2023)Personalization has become an increasingly important aspect of human-computer interaction in recent years as it enables the adaption and customization of products and services to suit the unique needs and preferences of ...
















