Faculty of Engineering and Science: Nye registreringer
Viser treff 1541-1560 av 3400
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A multilevel statistical toolkit to study animal social networks : the Animal network toolkit Software (Ants) R package
(Journal article; Peer reviewed, 2020) -
Protected areas buffer against harvest selection and rebuild phenotypic complexity
(Journal article; Peer reviewed, 2020) -
Gene flow relates to evolutionary divergence among populations at the range margin
(Journal article; Peer reviewed, 2020) -
Online Machine Learning for Graph Topology Identification from Multiple Time Series
(Doctoral Dissertations at the University of Agder; no. 298, Doctoral thesis, 2020)High dimensional time series data are observed in many complex systems. In networked data, some of the time series are influenced by other time series. Identifying these relations encoded in a graph structure or topology ... -
Learning Automata-Based Object Partitioning with Pre-Specified Cardinalities
(Master thesis, 2020)The Object Migrating Automata (OMA) has been used as a powerful AI-based tool to resolve real-life partitioning problems. Apart from its original version, variants and enhancements that invoke the pursuit concept ... -
3D Convolution Neural Networks for Medical Imaging; Classification and Segmentation : A Doctor’s Third Eye
(Master thesis, 2020)In this thesis, we studied and developed 3D classification and segmentation models for medical imaging. The classification is done for Alzheimer’s Disease and segmentation is for brain tumor sub-regions. For the medical ... -
User-centred Design of a Mobile Application for Chronic Pain Management
(Journal article; Peer reviewed, 2020)Chronic pain patients constitute a large and heterogeneous patient group and it is important to build tools and methods that can identify efficient treatment options for each individual patient. It is estimated that 20-30% ... -
An Evaluation of Telemedicine Systems in Patient-centred Care Teams
(Journal article; Peer reviewed, 2020) -
Supporting Effective Online Learning Groups for eLearning Systems
(Doctoral Dissertations at the University of Agder; no. 286, Doctoral thesis, 2020)Learning in groups has been advocated to increase learning based on the social constructivist learning theory. ICT has been preferred to bridge the gap between distance learning students for possibilities to enhance the ... -
Predicting Electrical Power Consumption on Yearly Events for Substations: Algorithm Design and Performance Evaluations
(Master thesis, 2020)Accurate prediction of electricity usage is critical for grid companies in or-der to ensure reliable power supply for their customers. Many factors in-fluence usage patterns, but generally they consist of yearly-, ... -
An Encoder-Decoder based Deep Learning Approach for Anonymization of Visual Surveillance Media with Preservation of Utility
(Master thesis, 2020)The field of computer vision has seen significant progress recently fol-lowing innovations in deep learning neural networks. Activity can be identified from surveillance cameras. Automatic detection of unwanted incidents ... -
Playing endgame chess with the Tsetlin Machine
(Master thesis, 2020)The report is about training an Artificial Intelligence(AI) that is able to play out endgames, using the existing solved endgame of chess to train the Tsetlin Machine on. This report describes the methods used to ... -
TsetlinGo : Solving the game of Go with Tsetlin Machine
(Master thesis, 2020)The Tsetlin Machine have already shown great promise on pattern recognition and text categorization. The board game GO is a highly complex game, and the Tsetlin Machine have not yet been tested extensively on strategic ... -
A Deep Learning-based approach for Fault Detection of Power Lines
(Master thesis, 2020)A transmission network is the most crucial part of modern infrastructure. However, it requires an extensive amount of power line inspection each year to maintain, and with an increased interest in replacing large ... -
Analysis of binarization techniques and Tsetlin machine architectures targeting image classification
(Master thesis, 2020)The Tsetlin Machine is a constantly evolving and developing machine learning technique with ever-increasing success. However, for every success, the Tsetlin Machine achieves, a new set of challenges are put ahead. ... -
Hierarchical Fish Species Detection in Real-Time Video Using YOLO
(Master thesis, 2020)Information gathering of aquatic life is often based on time consuming methods with a foundation in video feeds. It would be beneficial to capture more information in a cost effective manner from video feeds, ... -
The Application of the Tsetlin Machine in Checkers
(Master thesis, 2020)The Tsetlin Machine has shown promising results in the domain of board games such as Axis& Allies, showing that the Tsetlin Machine may be a contender to more well-known machine learning algorithms. This research aimed ... -
Playing the game of Hex with theTsetlin Machine and tree search
(Master thesis, 2020)Hex is an abstract mathematical board game where the players aim to build a connection of pieces, traversing the board from edge to edge. The game requires the use of certain patterns to be played ... -
A Machine Learning Approach for Intrusion Detection
(Master thesis, 2020)Securing networks and their confidentiality from intrusions is crucial, and for this rea-son, Intrusion Detection Systems have to be employed. The main goal of this thesis is to achieve a proper detection performance of a ...