Browsing AURA by Author "Andersen, Per-Arne"
Now showing items 1-20 of 26
-
A Study of Mitigating Advesarial Attacks against Machine Learning Models
Dzjumajev, Sultan (Master thesis, 2024)Machine learning (ML) is a powerful tool to analyze complex data and make predictions, but it faces challenges from adversarial attacks that significantly affect its performance. In this study, we explored the vulnerabilities ... -
Active network management with decision transformer
Åsvestad, Vegard; Sevland, Ruben (Master thesis, 2024)This thesis analyzes the implementation of a DT model for ANM in power grids, focusing on active network management with intermittent renewable energy sources. Considering the increasing implementation of renewable sources ... -
Active Network Management with Decision Transformer
Sevland, Ruben; Svensli Åsvestad, Vegard (Master thesis, 2024)This thesis analyzes the implementation of a DT model for ANM in power grids, focusing on active network management with intermittent renewable energy sources. Considering the increasing implementation of renewable sources ... -
Advancements in Safe Deep Reinforcement Learning for Real-Time Strategy Games and Industry Applications
Andersen, Per-Arne (Doctoral dissertations at the University of Agder;361, Doctoral thesis, 2022) -
Advancing IoT Security with Tsetlin Machines: A Resource-Efficient Anomaly Detection Approach
Thorsen, Henning Blomfeldt; Gunvaldsen, Ole (Master thesis, 2023)The number of IoT devices are rapidly increasing, and the nature of the devices leave them vulnerable to attacks. As of today there are no general security solutions that meet the requirements of running with limited ... -
Advancing IoT Security with Tsetlin Machines: A Resource-Efficient Anomaly Detection Approach
Gunvaldsen, Ole; Thorsen, Henning Blomfeldt (Master thesis, 2023)The number of IoT devices are rapidly increasing, and the nature of the devices leave them vulnerable to attacks. As of today there are no general security solutions that meet the requirements of running with limited ... -
Analyzing the performance of transformers for streamflow prediction
Hindersland, Jonatan Hertzberg (Master thesis, 2023)Within the field of hydrology, there is a vital need to be able to predict streamflow values from hydrological basins. This has traditionally been done through physics and mathematics-based models, where measured data are ... -
Deep learning-based golf swing sequencing from videos
Neha (Master thesis, 2024)This thesis delves into the effectiveness of advanced deep learning configurations for identifying the dynamic and static phases of golf swings, a fundamental skill in golf that directly influences performance outcomes. ... -
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (Journal article; Peer reviewed, 2020) -
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Master thesis, 2018)Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in computer games. This success is primarily due ... -
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Andersen, Per-Arne (Master thesis, 2017)Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential for arti cial intelligence based opponents in computer games. This success is primarily due ... -
Deformable Large Kernel Approximation For Semantic Segmentation of Shorelines
Dale, Vegard (Master thesis, 2024)Marine oil spills have emerged as a major threat to marine ecological safety. Large incidents related to oil extraction and maritime operations has lead to an estimated 1,522,000 tonnes of oil being released into the oceans. ... -
Demographic optimization of regions of interest for heart rate estimation through explainable remote photoplethysmography
Thune, Sébastian (Master thesis, 2024)Heart rate measurement can provide vital insights into the autonomic nervous system and cardiovascular health. Conventional heart rate monitoring devices include electrocardiogram and photoplethysmography, both of which ... -
Development of a Novel Object Detection System Based on Synthetic Data Generated from Unreal Game Engine
Rasmussen, Ingeborg; Kvalsvik, Sigurd; Andersen, Per-Arne; Aune, Teodor N.; Hagen, Daniel (Peer reviewed; Journal article, 2022)This paper presents a novel approach to training a real-world object detection system based on synthetic data utilizing state-of-the-art technologies. Training an object detection system can be challenging and time-consuming ... -
Evaluating and Enhancing Custom AI Chat Services: Towards Increasing the Speed, Accuracy and Cost Efficiency of Retrieval Augmented Generation Pipelines
Dale, Erik (Master thesis, 2024)Custom AI chat services that utilize Retrieval Augmented Generation are becoming more and more common within different sectors and businesses. When these types of services are used in professional settings like a workplace, ... -
FlashRL: A Reinforcement Learning Platform for Flash Games
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2017) -
Implementation Of Reinforcement Learning To Solve Job-Shop Scheduling Problem
Maharjan, Reshma (Master thesis, 2024)The Job Shop Scheduling Problem (JSSP) consists of allocating various tasks to distinct machines, each of which has a different sequence of operations. This thesis investigates the application of Reinforcement Learning ... -
Increasing sample efficiency in deep reinforcement learning using generative environment modelling
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2020) -
MapAI: Precision in BuildingSegmentation
Jyhne, Sander; Goodwin, Morten; Andersen, Per-Arne; Oveland, Ivar; Nossum, Alexander Salveson; Ormseth, Karianne Øydegard; Ørstavik, Mathilde; Flatman, Andrew C. (Peer reviewed; Journal article, 2022)MapAI: Precision in Building Segmentation is a competition arranged with the Norwegian Artificial Intelligence Research Consortium (NORA) 1 in collaboration with Centre for Artificial Intelligence Research at the University ... -
The Dreaming Variational Autoencoder for Reinforcement Learning Environments
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2018)Reinforcement learning has shown great potential in generalizing over raw sensory data using only a single neural network for value optimization. There are several challenges in the current state-of-the-art reinforcement ...