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A Case Study on Transitioning from Relational Data models to Graph Data models in an Industrial Context
(2023)In this research, the graph data model challenges the well-known relational data model. The relational model, used by the relational data base, uses tables to present data and data relationships. The graph data model, used ... -
Anomaly detection in engine vibration data
(2022)This thesis attempted to detect and predict anomalies in marine vessel engines autonomously. Detecting anomalies and predicting future ones in engines could save considerable amounts of time and money; this is due to the ...Kokoteksti on luettavissa vain Kirjatornissa ja Academill-kirjastossa. -
Anonymization of production data to create functioning and useful test environment data
(2023)This thesis will investigate different methods to anonymize production data to inject it or parts of it into the test environment. The different methods will be analyzed from different perspectives and some of them will ... -
Applicability of TinyML for maintenance predictability
(2023)With the vast amount of data collected today and in the future, it is possible to see that there is plenty that can be done with the data with the help of Machine Learning. Both on more conventional computers with operating ... -
Applying soft computing for effort estimation in agile software projects - Literature review
(2022)Effort estimation is a challenging and essential part of any software development project. For this reason, the subject has been extensively researched and several techniques have been developed to facilitate the work. For ... -
Are there flaws in freight emission reporting, and is the information credible and comparable? : A qualitative case study on Finnish-listed industrial- and retail companies
(2023)The growing demand for greater transparency from stakeholders regarding corporate actions has led companies to disclose their non-financial data by demonstrating their actions in a non-financial report. This data is used ... -
Big data in consumer marine environment - real-time streaming and long-term storage
(2023)The relevance of Internet of Things (IoT) and big data are ever growing as we continue to digitize the world we live in. The space of consumer leisure boating has not yet followed these trends as well as many other industries. ... -
Blockchain-based Traceability of the Use of Oceanography Datasets
(2023)This project, conducted in partnership with ICTS SOCIB (Balearic Islands Coastal Observing and Forecasting System), investigates the potential of blockchain technology to enhance traceability in the management of oceanographic ... -
Comparing Transaction Management Methods in Microservice Architecture
(2023)Microservice architectures promise frequent and low-risk deployments, high scalability and flexible technologies. Microservices are independently deployed units of software modeled around a business domain, collectively ... -
Creation of an Operational Desing Document for the Autonomous Shipping Industry
(2023)The advancement of Artificial Intelligence technologies has paved the way for the increasing use of autonomous systems in various fields, including air, land, and sea. Maritime is an important domain for applying autonomous ... -
Custom collaboration of data visualization and dashboard optimization; data simplicity and accessibility
(2021)Data visualization is incredibly useful for people to know data graphically. The new data visualization must come up with better ways to process, analyze and visualize a large amount of complicated data. Visualization is ... -
Data Governance Practices in Higher Education Institutions : Opportunities and Challenges
(2023)Higher Education Institutions (HEIs) collect data from their internal operations, external databases, and research activities on a daily basis. Previous studies indicated most HEIs were facing difficulties to unlock (i.e., ... -
Definitiva gallringsplaner och analys av splitplotförsök
(2022)I den här pro gradu-avhandlingen behandlas teorin för statistisk datainsamling samt dataanalys. Inom ramen för datainsamling presenteras både blockade försöksplaner,huvudsakligen splitplotplaner, och en familj av ... -
Designing Data Structure Schemas for Dynamic Web Content Creation – A Case Study
(2023)When producing content to be used online for e-commerce purposes, organisations are often faced with challenges around efficiency, scalability, and reusability. A strenuous process is carried out, where designers or content ...Kokoteksti on luettavissa vain Kirjatornissa ja Academill-kirjastossa. -
Developing a User-Centric Data Labelling Tool for Sentiment Analysis : A Comparative Study of Explainable AI and Non-Explainable AI
(2023)Sentiment analysis, especially within platforms abundant in user-contributed content such as social media, has gained paramount importance. However, given the intricate nuances of human emotions, the 'human-in-the-loop' ... -
Efficient Data Management and Orchestration Across Diverse Data Streams in 5G Networks with Incorporation of Unique Encryption Solution
(2023)Kokoteksti on luettavissa vain Kirjatornissa ja Academill-kirjastossa. -
Evaluating Performance of Generative Models for Time Series Synthesis
(2023)Motivated by successes in the image generation domain, this thesis presents a novel Hybrid VQ-VAE (H-VQ-VAE) approach for generating realistic synthetic time series data with categorical features. The primary motivation ... -
Evaluation of the implementation of a novel pharmacogenetics panel test in the Helsinki and Uusimaa Hospital District (HUS)
(2023)Interindividual differences in how we respond to drugs can make it difficult to fully achieve rational pharmacotherapy. Genetic variation, together with other factors, dictates the dose response and the profile of adverse ...Kokoteksti on luettavissa vain Kirjatornissa ja Academill-kirjastossa. -
Exploratory Studies LAIA@UIB : Al Models for the Detection of Fraudulent Payments
(2023)This thesis investigates the use of AI models for detecting fraudulent payments in electronic payment systems. The main challenges in the development of such models are the lack of labeled data, the need to balance minimizing ...