Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 361-380 / 450
-
Robotics and Automation in Finance and Accounting at Company X
(2022)This thesis reflects the topics of ‘robotics’ and ‘automatisation’, searching the true develop-ment of the area today used in finance and giving some insight to the next steps within the robotic industry. It explains the ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Role of Artificial Intelligence aided Inspection Methods for Sustainable Periodic Maintenance and Renovation of Renewable Energy Systems Project
(2024)This thesis explores the integration of Artificial Intelligence (AI) to enhance the performance, maintenance, and sustainability of renewable energy projects. The primary objectives are to identify AI methods and techniques ... -
RPA & AI in Accounting Systems – Inbuilt or Not? Deployment Issues
(2022)This research-based Bachelor’s thesis discusses the role of robotic process automation (RPA) and artificial intelligence (AI) in accounting systems. The primary objective of the study was to examine the automation solutions ... -
Sale Prediction Using Machine Learning Algorithms
(2023)This thesis is to investigate the sales prediction accuracy by trial and error from different machine learning models and study the accuracy of these models. We perform predictions based on machine learning techniques on ... -
Sale Prediction Using Machine Learning Algorithms
(2023)This thesis is to investigate the sales prediction accuracy by trial and error from different machine learning models and study the accuracy of these models. We perform predictions based on machine learning techniques on ... -
Sales and Project Support AI
(2024)In a world where technology breakthroughs change industry outlines, this thesis delves into the precise integration of Artificial Intelligence (AI) into sales and project support domains. With a strong emphasis on open-source ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Semi-automated workflow for multi-scale analysis of heatwaves : A case study of Lyon, France
(2021)Globally, the frequency, severity, and length of heatwaves have intensified and are expected to increase. While many methods for estimating heatwave risk and mapping methodologies have been developed, a comprehensive, ... -
Semi-Autonomous Drones in Wildfire Detection: a proof of concept
(2023)The scope of this thesis was to create a proof of concept solution of a semi-autonomous drone swarm that can detect and monitor wildfires. This thesis was ordered by the VTT Technical Research Centre of Finland as a part ... -
Sensor Fusion with Python for Machine Learning and Data Modelling
(2022)Wearable sensors are becoming more common and the market for health monitoring type of consumer tech devices is growing fast. The aim of this project was to discover if a proof-of-concept type of machine learning data ... -
Sentiment analysis of climate change using Twitter API and machine learning
(2020)Climate change, also called global warming, is one of the most frequently discussed topics nowadays. Also, there has been a tremendous growth in the research for sentiment analysis on social network by using natural language ... -
Sentiment analysis of consumer tweets and reviews of Finnish retail companies
(2024)The focus of this work has been on the defining of the approach through which sentiment analysis has been performed over the retail market of the Finnish. The reason behind the performing of the work is to understand the ... -
Sentiment analysis of English Text using Raspberry Pi
(2020)IoT devices have been used in most of the areas in daily life these days. IoT devices are the same devices used for single or multipurpose works in the home, offices, factories, industries, machinery. The data collected ... -
Sentiment Analysis of Social Media Posts During Crisis Situations
(2022)Social media platforms are becoming one of important tools for connecting people, with millions of users and an unbelievable amount of content, it's becoming big data store for automated analysis. During recent crises, ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
Sound Machine Learning for Failure Event Prediction
(2019)The objective of this thesis was to develop a system, which can interpret live audio data monitoring industrial processes to predict an upcoming failure event of the operative parts. The customer was particularly interested ... -
Spatial Recognition with Robotics using Autonomous database for spatial studio based on A.I and Machine Learning
(2021)This is a project-based research document based on using modern tools of technology to bring better safety, navigation, and overall ship orientation by recognition of space around to help the future autonomous shipping ... -
Stroke prediction using machine learning techniques
(2023)People today are affected by a wide range of diseases as an impact of the current state of the environment and human lifestyle choices. Early detection and prediction of such diseases are necessary to prevent them from ... -
Student retention analysis
(2024)For colleges and universities, student attrition comes with substantial finan-cial and reputational cost. This study aimed to analyse the different factors contributing for the student dropout and to develop a predictive ... -
Study of the effectiveness of chatbots in customer service on e-commerce websites
(2023)Efficient customer service solutions are needed to improve virtual interactions as electronic commerce grows exponentially. AI and NLP-powered chatbots are a potential alternative. This research compares chatbots against ... -
Study on customer behavior analysis using machine learning
(2021)Machine Learning and Artificial Intelligence have become an important part of many businesses. Digital Marketing has also benefited from modern Machine Learning techniques. The objective of this thesis was to draw for ... -
Supervised Machine Learning : Accuracy Comparison of Different Algorithms on Sample Data
(2021)The purpose of the final year project was to discuss the theoretical concepts of the analytical features of supervised machine learning. The concepts were illustrated with sample data selected from the open-source platform. ...
















