Hae

The ongoing evolution of computational sciences is helping to address the growing data analytical needs in applications. For instance, in biosciences, recent advances in measurement technologies have resulted in large ...

Workforce scheduling in organizations often consists of three major phases: workload prediction, shift generation, and staff rostering. Workload prediction involves using historical behaviour of e.g. customers to predict ...

As a complex biological process, there are various health issues that are related to pregnancy. Prenatal care, a type of preventative healthcare at different points in gestation is comprised of management, treatment, and ...

The amount of data being gathered has increased tremendously as many aspects of our lives are becoming increasingly digital. Data alone is not useful, because the ultimate goal is to use the data to obtain new insights and ...

This thesis deals with two application sectors where Machine Learning (ML) approaches have a central role. The first one is the maritime environment, where one of the tasks is to create the Situational Awareness (SA) model, ...

Single-cell RNA-sequencing (scRNA-seq) is a cutting-edge technology that enables to quantify the transcriptome, the set of expressed RNA transcripts, of a group of cells at the single-cell level. It represents a significant ...

This thesis discusses the utilization of natural user interfaces in the design of virtual reality mechanics. The mechanics are inspected from the perspective of interaction fidelity of virtual interactions, usability, cyber ...

In the digital transformation era, inclusive innovations have become increasingly crucial with their exclusive role in bridging the socioeconomic gaps in emerging economies. This research study examines the role of Information ...

The increasing deployment of artificial intelligence (AI) models in high-stakes domains such as medical diagnostics and renewable energy has exposed persistent limitations in their generalizability and reproducibility ...

Dynamical systems are tools for modeling many real-world phenomena. However, one crucial but often overlooked aspect of such models is memory effects, where past conditions infuence future dynamics. Traditional models that ...