Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 81-100 / 450
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Automatic Route Planning and Calculation based on S-100 for Autonomous Vessels Navigation
(2022)Automatic Route Planning and Distance Calculation can be further developed by using the same factors as used in Route Planning by a Navigator while using the new Hydrographic S-100 Standards. These can be used to make this ... -
Automation and optimization of renewable domestic energy production and storage using electric vehicles
(2023)Due to global energy challenges marked by soaring costs and supply uncertainties, this thesis explores alternative approaches to domestic energy conservation, emphasizing the transformative potential of Electric Vehicles ... -
Behaviour Recognition in an Elevator Using Kinect Sensor
(2021)Increasing population and urbanization has led to widespread use of elevators in buildings. There is always a concern associated with the safe usage of elevators. Manual video monitoring is often slow and ineffective when ... -
Benefits from AI in Project-Based Learning and Business Development
Laurea julkaisut / Laurea publications (Laurea-ammattikorkeakoulu, 2024)Benefits from AI in Project-Based Learning and Business Development” publication shares insights with the use of artificial intelligence (AI) in Laurea University of Applied Science´s real-life company study projects. This ... -
Berry Density Estimation With Deep Learning: estimating Density of Bilberry and Lingonberry Harvest with Object Detection
(2022)Currently, yield estimation of berry harvest is done manually by calculating berries in a predefined area. Manual counting is labour intensive and thus, the data created lacks scope. This thesis studied the method to ... -
Big Data Using Cloud Computing in Our Life and Technology
(2023)Big data is a huge volume of collected data that can build the cloud and give access in a reliable way to everyone to utilize and process the collected data. Cloud computing is now one main part of almost every organization’s ... -
Brain image classification using deep convolutional neural networks and transfer learning
(2023)The goal of this thesis research is to automate brain image classification by using Deep Convolutional Neural Networks and Transfer Learning. It aims to improve classification accuracy to help in medical diagnosis and ... -
Breaking Barriers to Computer Accessibility: A Wireless Mouse System for People with Hand Disabilities
(2023)This thesis proposes a wireless mouse system designed to enhance computer accessibility for individuals with pointer device use restrictions. The system combines an accelerometer and optical sensor technologies with an ... -
Building a Roadmap for Striking Collaboration in Medical R&D for an IT Solution
(2021)The objective of this thesis was to build a roadmap for striking collaboration in medical R&D for an IT solution. This thesis started with analyzing the previous experiences in medical R&D collaboration projects done at ... -
Building Topic Modelling on Theses Abstracts Data : Thesis Supervisors Finder for Students
(2021)This thesis focuses on topic modeling on theses data from Finnish Universities of Applied Sciences students collected from Theseus. The main objective of this thesis is to extract valuable information and create useful ... -
Business analytics and data science in business strategy - Case Nokia & Alteryx
(2021)Tässä opinnäytetyössä käyn läpi menetelmiä datatieteen periaatteiden ja analytiikan hyödyntämiseksi liiketoiminnassa. Työssä tutkitaan onnistuneiden analytiikkahankkeiden arvioinnin menetelmiä, menestyksen tekijöitä ja ... -
BUSINESS PLAN TO DEVELOP SMART LENDING IN CONSUMER FINANCE COMPANIES IN VIETNAM
(2020)The thesis is developed with the main research question of how to develop a smart lend- ing system for consumer finance companies in Vietnam?”. Currently, consumer lending in Vietnam has been blooming recently. The next ... -
CANINE HEARTRATE MEASUREMENT - Sensor technologies and data analysis
(2021)Animal welfare and sports market is fast-growing market. However, existing canine heart rate measurement solutions on the market do not deliver on their promises; they are difficult to use, and results are unreliable. The ... -
Capacity Monitoring Using Object Detection Algorithms
(2021)Due to the COVID-19/coronavirus pandemic, which started December 2019, in China, many governments around the global have imposed restrict lockdowns across the global along with mask mandates to slow down the spread of the ... -
Car Park application behavior analysis
(2022)The objective of this study is to do data analytics for finding user behavior and then use artificial intelligence to predict the impact of a new feature or a better UI/UX for the customers. To understand which gives more ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Car sales analysis in the Nordic Countries
(2023)Sales forecasting is an essential component of business intelligence and, artificial intelligence and predictive analytics are now essential tools for companies to predict market trends and forecast sales volumes. In ... -
Categorising audio with K-Means: an extensible system for content-based music exploration
(2023)Categorisation is a fundamental part of human organisation of information. Due to the abundance of data in the present day, it is increasingly tedious to manually organise large libraries of any sort of items. In the context ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
ChatGPT’s code suggestion accuracy evaluation
(2024)Generative AI is becoming increasingly prominent in the field of software development. For developers, AI-powered programming tools are essential. While many studies have been published on generative AI tools, such as their ... -
Classification of invasive species in Finland with deep learning
(2021)In this project, an application was developed in order to classify whether a plant is lupine, hogweeds or impatiens, based on the image of the plant. These plants are considered as invasive species in Finland. The first ... -
Classifying news articles based on user needs using transfer learning and deep neural networks: a multi-class approach combining BERT with non-textual features
(2023)This thesis describes the procedure for developing a machine learning model that can categorise news articles based on audience insight experts' assessments of user needs. This study aims to determine if it's possible to ...

















