Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 141-160 / 450
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Detecting Arm Movements from EEG-signal with Machine Learning
(2023)The integration of brain-computer interface (BCI) in human-computer interaction has started in a new time full of innovation and possibilities. BCI has overcome the limitations of traditional input devices and has provided ... -
Detecting ASCs Differing in Performance
(2023)Containerized trade has grown steadily for decades. Increasing trade volumes required highly productive and advanced port cranes. The focus shifted towards autonomous ASCs that performed most of the activities without ... -
Detecting In-Game Toxicity via Bullet Hole Patterns Using Image Recognition
(2024)The purpose of this thesis was to develop a system capable of detecting toxic messages conveyed through bullet hole patterns in first-person shooter games, with a focus on Counter-Strike 2. The thesis sought to address ... -
Detecting Software License Violations
(2021)User monitoring in a web service is used for numerous purposes. Monitoring can be used for detecting user preferences and habits. Deviations from expected behavior can be detected by observing actions that a user has taken. ... -
Detection of Anomalies in Electric Vehicle Charging Sessions Data
(2024)Anomalies, or outliers, in data are deviations from expected patterns and can result from errors, rare events, system glitches, or fraudulent activities. Understanding anomalies is crucial across industries, as they can ... -
Developing a help centre with a retrieval-augmented conversational AI system
(2024)Tämä opinnäytetyö pyrki parantamaan käyttäjätukea toimeksiantajan arkistointiohjelmistossa kehittämällä sivuston, joka tarjoaa olennaiset ohjelmisto-ohjeet. Sivusto auttaa käyttäjiä ratkaisemaan yleisiä ongelmia itsenäisesti ... -
Developing A Machine Learning-Powered Web Application To Enhance Heart Disease Prediction And Diagnosis
(2023)Modern people tend to live busy lives and do not have time to check their health. That is why the number of serious diseases has risen recently, and heart disease is one of them. The thesis aims to create a web application ... -
Developing a Video Summarizing Tool using Machine Learning
(2022)In recent years, video has become a highly significant form of visual data, and the explosion of short video platforms like TikTok, Instagram, and Facebook has led people to prefer to consume short content than watching a ... -
Developing an AI-Powered Referee System for Boxing: Integrating Sensor Data and Machine Learning for Punch Recognition
(2024)The goal of this project was to develop a video assistant referee system for boxing that leverages Artificial Intelligence to recognize landed punches through video feed, sound, and touch. This thesis presents research ... -
Developing an Algorithmic Trading Bot
(2021)The idea of cloud computing was conceived a few decades ago but only until recently has it received considerable notice from the global developer communities, particularly when made remarkably more approachable and affordable ... -
Developing an efficient attack detection model for an industrial control system using CNN-based approaches : attack detection using PS-CNN
(2023)Industrial Control Systems (ICS) critical infrastructures, including thermal plants, water treatment plants, nuclear plants, oil refineries, and gas pipelines, rely on uninterrupted operations. With the transformation of ... -
Developing LLM-powered Applications Using Modern Frameworks
(2024)Tekoälyn (AI) kehitys on viime vuosina ollut erittäin nopeaa. Teoreettisen tutkimuksen edistysaskeleet, sekä merkittävä kasvu laskentatehossa ovat mahdollistaneet yhä kehittyneempien ja monimutkaisempien tekoälymallien ... -
Developing measurement set-up for assessing cognitive workload with consumer-based EEG-device
(2022)A research study was conducted to find out if and how it might be possible to assess increased cognitive workload using a consumer-based EEG-device. Earlier research has established that it is possible to assess cognitive ... -
Developing Training Data for Sandpaper Defect Detection with a Labeling Platform
(2023)This paper investigates a number of factors that influence the maximal utilization of training data in a detection effort of sandpaper defects: 1) the selection of defects and compilation of labeling instructions, 2) the ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Development of Cost-Efficient and Accurate Tactile Sensing Wristband for Real-Time Static Gesture Recognition
(2020)There has been a tremendous increase in the use of gestures in human-computer interaction technology, where the most common approach is vision-based systems. However, a tactile sensing device around the wrist can give more ... -
Development of Predictive Maintenance Model for Induction Motor
(2021)The aim of this project was to create a model to predict the remaining useful life of induction motor with minor investment available in the plant. The project helps to broaden electronics student’s horizons of automation ... -
DEXPI and Its Applications in P&ID Drawing
(2023)Työn aiheena oli tutkia DEXPI:n (Digital Exchange of Process Information) eri käyttökohteita sekä mahdollisuuksia PI-piirrossa ja sitä, miten niitä voidaan hyödyntää tulevaisuudessa eri sovelluksissa. Tämä opinnäytetyö ... -
Diabetes Mellitus Prediction with Classification Algorithms Using Weka
(2024)Early diabetes identification is crucial for controlling chronic illnesses. This study uses WEKA to compare the performance of four classification algorithms (Multilayer Perceptron, Logistic Regression, Random Forest, and ... -
Digitalisation in Management Accounting
(2019)Management accounting (MA) is changing in various ways already and will continue to do so in the foreseeable future as a result of the ongoing digitalisation. To ensure a firm’s competitiveness these developments should ... -
Discovering the benefits of payments data visualization in business banking
(2024)It is said that a picture is worth a thousand words, so the value of data visualization must be significantly higher. At its best, data visualization guides business decision-making when supported by accurate and reliable ...


















