"big data" - Selaus asiasanan mukaan Opinnäytetyöt (Avoin kokoelma)
Viitteet 1-10 / 10
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Artificiell intelligens, Big Data och IoT-teknologier inom intern logistik - Utmaningar
(2023)Då tekniska utvecklingen inom logistiken går mot ökad automation, har det uppstått utmaningar kring detta. Syftet med detta är att identifiera utmaningar relaterade till AI, Big Data och IoT specifikt inom intern logistik. ... -
Click-through Rate Prediction In Practice: A study of a click-through rate prediction system
(2019)Digital advertising is a huge business with tough competition. One of the ways to be more effective in the business is to serve better chosen ads to each user. One way to improve the ad selection is to predict the ... -
Data management process for fast-growing companies
(2021)This thesis aims to describe how fast-growing companies can benefit from working with the data management process. This Thesis will as well aim to describe how the fast-growing companies currently work with the Data ... -
DataOps for Product Information Management: A study of adoption readiness
(2022)Data Operations (DataOps) is currently being introduced in software-intensive companies, but there are not many companies that have fully adopted DataOps. DataOps is a process-oriented methodology that is people-driven ... -
Experimental evaluation of ship detection using U-Net with various backbone networks
(2022)The growth in global trade has led to the growth in global ship traffic. Maritime security, safety and tracking has become more critical. Organizations and governments globally are developing applications to improve maritime ... -
Large-scale Deep Learning by Distributed Training
(2019)This thesis is done as part of a service development task of distributed deep learning on the CSC provided infrastructure. The aim is to improve the readiness to provide a service for AI researchers who wish to scale out ... -
Predicting fine particulate matter levels in Finnish buildings
(2019)Fine particulate matter (PM 2.5 ) is considered one of the most harmful air pollutants. While a large proportion of the particles is originating from outdoor sources, people are mostly exposed while indoors. Predicting ... -
Predicting Mortality of Intensive Care Patients with Machine Learning Using Electronic Health Record and Non-Invasive Signals
(2021)This study proposes a novel approach for applying the Electronic Health Record (EHR) data and biomedical signals to predict patient mortality in the Intensive Care Unit (ICU) using machine learning and deep learning models. ... -
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 ... -
Usage pattern and mental health analysis on Finnish speaking Twitter users
(2022)Social media has been seen under negative light as it is correlated to mental health problems. However, it was also acknowledge as an alternative way to collect data and conduct studies and services on mental health. This ...









