The research topic of this PhD concerns the production of intelligent adaptive behaviour from the embodied perspective. The intelligence seen in biological organisms arises as an emergent property of a complex system ...

I dette forskningsprosjektet sammenlignes Bayesian knowledge tracing (BKT) med en ny versjon av algoritmen, hvor innsikt fra multi-modal data (MMD) om studenters kognitive, affektive og atferdsmessige tilstander benyttes. ...

Metaheuristic optimization has received a lot of attention over the last couple of decades. Some optimization problems are just too computationally heavy to solve with traditional search techniques, especially when there ...

Dynamiske miljøer og flere objektiver er gjentagende problemer i den virkelige verden. Det er ikke gjort grundig forskning på en kombinasjon av disse problemene. I oppgaven blir det lagt frem en modell som kombinerer den ...

In this paper, we describe underlying concepts related to the problem of jacket design as well as previous research on jacket design optimization. Motivated by the complexity of the problem, including the multiple objectives ...

Considering the increasing complexity and scale of HPC architecture and software, the performance modeling of parallel applications on large-scale HPC platforms has become increasingly important. It plays an important role ...

A high prediction accuracy of optical printer models is a prerequisite for accurately reproducing visual attributes (color, gloss, translucency) in multimaterial 3D printing. Recently, deep-learning-based models have been ...

The traditional defect detection algorithms based on image registration, image contrast and other image processing algorithms are only limited to a single defect. Though deep-learning-based object detection algorithms can ...

Local search is a well-established mode of Web search engines today. For most developed countries, a huge amount of data is directly available on the Web and can be extracted and processed by search engines. In many ...