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Optimizing the Critical Rendering Path for Decreased Website Loading Time
(Åbo Akademi, 2020)
Reducing Cognitive Load for a Data-Intensive Web Application User
(Åbo Akademi, 2020)
ABSTRACT
Users experience certain levels of cognitive load when interacting with data-intensive web applications. The overload of a user’s cognitive workload leads to poor user experience (UX), inability to make timely ...
Email classification with limited labeled data
(Åbo Akademi, 2020)
In this thesis I evaluate different ways of classifying email messages in the absence of a large number of pre-classified training messages. When using machine learning to classify incoming emails, this lack of pre-labeled ...
NVMe-Based Caching In Video-Delivery CDNs
(Åbo Akademi, 2020)
In HTTP-based video-delivery CDNs (content delivery networks), a critical component
is caching servers that serve clients with content obtained from an origin server.
These caches store the content they obtain in RAM or ...
Evaluation of React Native and Flutter for cross-platform mobile application development
(Åbo Akademi, 2020)
There is an increasing demand for mobile applications requiring software companies to deliver high-quality products at a fast pace while maintaining reasonable costs. Moreover, an application is often created for multiple ...
The process of changing out expandable elements in a large-scale web application
(2020)
The Nordic insurance company IF is taking on a new company-wide image which will define its new visual identity. Given the large amount of work, the My Pages team which is responsible for the Nordic self-service portal in ...
INCORPORATING SECURITY IN SERVICE LEVEL AGREEMENTS
(Åbo Akademi, 2020)
Given that the information and the physical worlds are merging, threats to integrity,
confidentiality, and availability of information on cyber-physical systems, cloud computing,
and other information technology (IT) ...
Environmental damage assessment based on satellite imagery using machine learning
(Åbo Akademi, 2020)
The aim of this thesis is to provide a source of information about damage assessment in forestry using deep learning. A large source of environmental information is provided by satellites imagery. Orbital devices are ...
Applying Test-driven Development in Evaluating Student Projects
(Åbo Akademi, 2020)
Grading software projects submitted by students can become a heavy and time-consuming task, which for many students, can result in delayed feedback provided to them. Additionally, one would like to allow students to evaluate ...
Classification of Heavy Metal Subgenres with Machine Learning
(Åbo Akademi, 2020)
The music industry is undergoing an extensive transformation as a result of growth in streaming data and various AI technologies, which allow for more sophisticated marketing and sales methods. Since consumption patterns ...