Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 301-320 / 450
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Neural Networks and Their Internal Processes: From the ground up
(2022)The aim of this thesis is to explain and practically show the operation of different types of neural networks. The thesis will prove that they all have the same primary idea at the core but have different goals, methods, ... -
Next generation of NPC dialogue: creating responsive NPCs (Non-Player Characters) with Retrieval-Augmented Generation and real-time player data
(2024)Suurten kielimallien (LLM), Retrieval-Augmented Generation (RAG) -tekniikan ja reaaliaikaisten pelaajatapahtumien integrointia ei-pelaajahahmojen (NPC) kehittämisessä videopeleissä tutkittiin parantaakseen dialogien ... -
Object Detection With Nvidia Jetson Nano
(2022)Object detection on embedded devices is becoming increasingly more popular in industrial use, as well as in individual use. Object detection can be used in many useful ways, such as security devices, quality assurance ... -
Occupational skills extraction with FinBERT
(2020)Job search market is highly competitive even in a small country such as Finland. Oikotie Työpaikat is a platform, where recruiters post jobs, candidates search and apply for open positions. In order to stay among the leaders ... -
One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer
(Association for computing machinery, 2021)Computer vision and machine learning can be used to automate various tasks in cancer diagnostic and detection. If an attacker can manipulate the automated processing, the results can be devastating and in the worst case ... -
Online Scent Classification by Ion-Mobility Spectrometry Sequences
(Frontiers Media S.A., 2019) -
Open-source dog breed identification using CNN: explanation of the development & underlying technological specifications
(2023)This thesis aims to develop a deep learning model that uses the Fast.ai library and transfer learning to create a convolutional neural network model. The model will identify dog breeds in digital images and evaluate the ... -
Operational State Recognition of a Rotating Machine Based on Measured Mechanical Vibration Data
(2021)Digital twin is a relatively new concept. Also, it lacks a formal definition and can be applied in virtually any field of technology. Considering digital twins of rotating machines, and especially the in-service phase of ... -
Optimisation of the fraud detection algorithm and the timeliness of data collection by the TNA application
(2024)VAT fraud is provoking a huge loss in public budget and VAT carrousel fraud is one of these fraud at European level, fraudsters should be tracked before disappearing. So Eurofisc a network of experts that exchange data ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Optimising Aircraft Maintenance Operations through Cloud-Based Predictive Maintenance and Analytics
(2024)The thesis was completed to overcome from a problem that was faced by Sri Lankan Air Force aircrafts used in United Nations missions in Central Africa. The main issue that the air force facing was the lack of proper methods ... -
Optimizing energy consumption and production with energy management system
(2024)Merus Power is participating in Energy ECS project to create secure and smart energy solutions for mobility in the future. The project has six use cases and Merus Power is leading in UC 3 for smart mobility with Emobility ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
People’s perception and expectation of AI capabilities (Analyzed with KNIME analytics platform)
(2020)Nowadays, Artificial Intelligence (AI) has become one of the most popular terms. We hear and discuss it almost everywhere. In the news, technology articles, businesses, and we regularly discuss its current and future ... -
Performance Analysis of Classification Algorithms for Dry Bean Prediction
(2024)This thesis studies the efficacy of machine learning in dry bean classification. The Random Forest (RF), Optimized Forest (OF), and Logistic Model Tree (LMT) algorithms were evaluated using an openly accessible dataset ... -
Performance Comparison of One-Class Classifiers in Faulty Sanding Machine Detection Using Sound
(2023)Nowadays, product quality is a paramount concern in the modern machine manufacturing industry. Millions of dollars are being spent by modern machine manufacturing industries to maintain product quality. This expenditure ... -
Personalized web based application for movie recommendations
(2019)Since a few years, the Machine Learning becomes more and more important. It is used everywhere, especially in recommender systems and personnalized marketing. Big companies of movies streaming build those systems in order ... -
Pneumonia Classification Model by Convolutional Neural Network
(2022)The purpose of this thesis is to train a model to recognize and classify X-ray images of pneumonia patients from those of normal people by approaches of convolutional neural networks in computer vision. This thesis introduces ... -
Pneumonia Detection and Diagnosis Formation in Chest X-ray Scans Using Localized Miniature Residual Convolution Neural Networks and GPT Integration
(2024)Chest radiography is one of the most preliminary forms of radiological investigation used globally. As such, it accounts for the gateway to detecting a plethora of pulmonary anomalies, the early diagnosis of which serves ... -
Possibilities in AI in customer care in the software business
(2024)Tekoälyn (AI) nopea kehitys tarjoaa uusia mahdollisuuksia tukipalvelun optimointiin. Tämän opinnäytetyön tavoitteena on analysoida AI:n potentiaalia asiakaspalvelutyöntekijöiden resurssien vapauttamiseksi ja asiakastyytyväisyyden ... -
Practical Method for Understanding Resilience and Quality of Data Integrity in Embedded Systems
(2019)Background for this work is to understand practical solutions to manage security threats imposed on data integrity in systems where automated decisions are taken. The task was to study, implement and establish a proposal ... -
Predict patient deterioration in hospital's general ward
(2020)Increasing amount of patient monitoring data is available in hospitals in an electronic format. Patient data is mostly available from hospital departments which provide intensive treatment, but wireless and wearable sensors ...

















