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Reinforcement Learning for Financial Portfolio Management: A study of Neural Networks for Reinforcement Learning on currency exchange market
(2021)
Portfolio management is the process of continually reallocating funds into financial instruments, aiming to maximize the return. This paper presents a Reinforcement Learning framework where an agent interacts with the ...
Data-Driven Modelling of Gas Turbine Engines
(2021)
This study investigates and compares linear and nonlinear data-driven models of a gas turbine engine. These linear models consist of Ridge, Lasso, and Multi-Task Elastic-Net models, which are set up based on linear ...
Risk management in corporates; can digitalization help improve risk management in cash management?
(2019)
The purpose of this study was to investigate if digital solutions help reducing risks related to cash management. The main theories included cash management, risk management and digitalization in finance. The study was ...
Exploring Success Factors in Chatbot Implementation Projects
(2019)
Chatbots are digital agents which can be used to automatize an organization’s customer interactions and internal business processes. This conversational software is powered by artificial intelligence and utilizes natural ...
Machine Learning methods for classification of Acid Sulfate soils in Virolahti
(2020)
Acid Sulfate (AS) soils are among the most dangerous soils naturally occurring soils. This is due to the several ecological damages that they can generate. In Europe, the highest concentration of this type of soils is ...
Edge MLOps framework for AIoT applications
(2020)
Recent years witnessed a boom in IoT devices resulting in big data and demand for low latency communication giving rise to a demand for 5G Networks. This shift in the infrastructure is enabling real-time decision making ...
Examination of air pollutant concentrations in Smart City Helsinki using data exploration and deep learning methods
(2021)
Air quality has become a major concern for most of the cities around Europe due to rapid urbanization and industrialization. Smart City is an initiative to solve such problems by integrating information and communication ...
How can financial institutions more efficiently prevent credit-card fraud and AML using AI and machine learning technologies?
(2021)
As society and payments are getting increasingly digitized and most of financial transactions are done by credit-card or wire-transfer, the focus on financial crime, fraud and Anti-Money Laundering is becoming a focus point ...
Enhancing Customer feedback processing with Machine Learning in Microsoft Azure
(2022)
Text Classification and Natural Language Processing (NLP) is developing fast, and all the applications are rapidly evolving, GPT-3 emerged in the field just last year and there are some open-source options in the field, ...
Intelligent Automation in Journalism: Are newsrooms ready to let machines write our news?
(2022)
The advancements in readily available structured data, artificial intelligence and automation tools have led to newsrooms exploring the possibility of creating news articles automatically. Sports, finance, politics and ...