Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 281-300 / 450
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Machine Learning Methods in Image Recognition
(2024)In recent years, computer vision technology has played an important role in the field of wildlife monitoring. Machine learning technique can help to detect animals in the images collected in the field, so as to better ... -
Machine learning methods vs. traditional methods in forecasting loss reserves
(2021)The purpose and topic of the study is to investigate can machine learning methods provide better estimations of loss reserves compared to traditional chain-ladder method. The aim is to provide the commissioning organisation ... -
Machine Learning Modelling for HVAC Systems
(2021)Vuores is a school building with the HVAC system deployed as part of its building automation system. Indoor conditions are maintained by ventilation and heating systems, which consume a major part of the total energy ... -
Machine Learning/Artificial Intelligence Techniques and Applications in the Domain of Data Science
(2023)Digitalization has revolutionized data science, allowing researchers and organizations to extract meaning from complex data sets and uncover actionable insights with the use of Artificial intelligence and machine learning. ... -
Machine Vision for Sorting
(2024)The integration of robots and machine vision in manufacturing has significantly advanced automation, reducing labour costs and improving productivity and safety. This thesis investigates the effectiveness of three object ... -
Malicious web content detection
(2024)A "malicious web page" poses a significant threat to internet security by containing harmful content capable of exploiting client-side computer systems. Cybercriminals leverage these pages for various nefarious activities ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Malware Detection Using Machine Learning
(2024)In our increasingly digital world, the threat of malware is a growing concern for all internet users. Traditional methods of detecting malware are becoming less effective as cyber threats become more sophisticated, ... -
Managing adversarial networks via a web interface
(2019)Recently generative adversarial networks are becoming the main focus area of machine learning. It was first introduced by Ian Goodfellow in 2014. The structure of GAN consists of two neural networks, which are constantly ... -
Methods for Managed Deployment of User Behavior Analytics to SIEM product
(2021)To keep up with the challenges of modern threat environment, organizations have had to rethink their cyber defensive strategies. Traditional perimeter-based defenses are unable to meet the challenge provided by modern ... -
Methods of Artificial Intelligence Creativity
(2021)The objective of this thesis was to study the concept and methods of artificial intelligence creativity. The methodology consisted of several steps. Firstly, the basic structure of artificial neural networks was examined ... -
Microscope automation : machine vision to support in-cell signal detection
(2022)Automation has become increasingly important in our life. With automation, we can achieve a reduction in cost, time, mistakes, and a multitude of other aspects that hinder the workflow in production. The objective of ... -
Mobile real-time object detection with Flutter
(2021)Tietokonenäön käyttö on kasvanut huomattavasti matkapuhelimissa. Tietokonenäön tärkein osa, hahmontunnistus, perustuu syviin oppimismalleihin. Nämä mallit ovat perinteisesti vaatineet tehokkaita grafiikkaprosessoriyksiköitä ... -
Model fooling attacks against medical imaging: a short survey
(ProCon, 2020)This study aims to find a list of methods to fool artificial neural networks used in medical imaging. We collected a short list of publications related to machine learning model fooling to see if these methods have been ... -
Moral and ethical side of using of AI in modern life
(2022)This thesis explores AI development topic in terms of its regulations by different countries and people’s opinions on it. During work not only scientific questions were raised, but even philosophical ones. The work begins ... -
Multi-target regression with spatially distributed data: prediction of coordinates based on Finnish street addresses
(2024)Automations are increasingly used in decision making processes, reducing the need for manual work and improving throughput times for business processes. As not all components of the data are always initially available for ... -
Natural Language Processing and chat-bot implementation
(2019)In recent years Artificial Intelligence (AI) research and development has become more and more popular, and solutions which use AI are becoming more ubiquitous. One of the problems AI deals with is Natural Language Processing ... -
Net sales prediction : azure machine learning
(2024)This Master’s Thesis is a project-based thesis about Sales Prediction using Microsoft Azure Machine learning models for a telecommunication and technology company in Finland. The company has been following a semi-manual ... -
Network detection and reaction : case study: proof of concept for Vectra implementation
(2021)Network threats today are very critical issues in every industry where there are digital services. All systems use ICT services. As a result, network attacks target every device connected to the network. This thesis provides ... -
Neural Network Eye Tracking:Determining Nine-Grid Regions & Application
(2023)As technology advances, the development of mobile platforms has nearly reached saturation. AR/MR (Augmented or Mixed Reality) eyewear is anticipated to be the new type of product leading technological advancements in the ... -
Neural Networks and Their Internal Processes: From the ground up
(2022)The theses’ aim is to explain and practically show the operation of different types of neural networks. Thesis will prove that they all have the same main idea at the core but have different goals, methods and components. ...

















