Faculty of Engineering and Science: Nye registreringer
Viser treff 541-560 av 3383
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Recolonization and recovery of an Arctic benthic community subject to mine-tailings deposits
(Peer reviewed; Journal article, 2023) -
The Potential and Limitations of the Tsetlin Machine in Model-Free Reinforcement Learning
(Master thesis, 2023)This paper aims to investigate the potential of model-free reinforcement learning using the Tsetlin Machine by evaluating its performance in widely recognized benchmark environments for reinforcement learning: Cartpole and ... -
Transformer Reinforcement Learning for Procedural Level Generation
(Master thesis, 2023)This paper examines how recent advances in sequence modeling translate for machine learning assisted procedural level generation. We explore the use of Transformer based models like DistilGPT-2 to generate platformer levels, ... -
Transformer Reinforcement Learning for Procedural Level Generation
(Master thesis, 2023)This paper examines how recent advances in sequence modeling translate for machine learning assisted procedural level generation. We explore the use of Transformer based models like DistilGPT-2 to generate platformer levels, ... -
Advancing IoT Security with Tsetlin Machines: A Resource-Efficient Anomaly Detection Approach
(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
(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 ... -
Utilizing Reinforcement Learning and Computer Vision in a Pick-And-Place Operation for Sorting Objects in Motion
(Master thesis, 2023)This master's thesis studies the implementation of advanced machine learning (ML) techniques in industrial automation systems, focusing on applying machine learning to enable and evolve autonomous sorting capabilities in ... -
Mastering DeepRTS with Transformers
(Master thesis, 2023)The Transformer deep learning model has recently proven its superiority in tasks like natural language processing and computer vision, as tools like ChatGPT and DALL-E have become widespread and helps humans complete tasks ... -
Transform Diabetes - Harnessing Transformer-Based Machine Learning and Layered Ensemble with Enhanced Training for Improved Glucose Prediction.
(Master thesis, 2023)Type 1 diabetes is a common chronic disease characterized by the body’s inability to regulate the blood glucose level, leading to severe health consequences if not handled manually. Accurate blood glucose level predictions ... -
Mastering DeepRTS with Transformers
(Master thesis, 2023)The Transformer deep learning model has recently proven its superiority in tasks like natural language processing and computer vision, as tools like ChatGPT and DALL-E have become widespread and helps humans complete tasks ... -
Transform Diabetes - Harnessing Transformer-Based Machine Learning and Layered Ensemble with Enhanced Training for Improved Glucose Prediction.
(Master thesis, 2023)Type 1 diabetes is a common chronic disease characterized by the body’s inability to regulate the blood glucose level, leading to severe health consequences if not handled manually. Accurate blood glucose level predictions ... -
Analyzing the performance of transformers for streamflow prediction
(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 ... -
Centralized vs. Decentralized Investigating the advantages and disadvantages of single vendor vs. multivendor
(Master thesis, 2023)The purpose of this research was to see the differences between centralized and decentralized in various fields, such as IoT, and cloud computing systems, to decide if additional security is needed. The study showed that ... -
Digital Presentations and Student Active Learning
(Master thesis, 2023)The use of digital presentation tools such as PowerPoint® in education is ubiquitous. There are, however, issues with these tools: poorly designed slides with too much content, and passive students who have to listen to ... -
Implementation of robotics in Norwegian SMEs
(Master thesis, 2023)This master’s thesis aims to explore the barriers faced by organizations in implementing collaborative robotics within their operations and identify the best framework for successful implementation. The questions that have ... -
Centralized vs. Decentralized Investigating the advantages and disadvantages of single vendor vs. multivendor
(Master thesis, 2023)The purpose of this research was to see the differences between centralized and decentralized in various fields, such as IoT, and cloud computing systems, to decide if additional security is needed. The study showed that ... -
The Potential and Limitations of the Tsetlin Machine in Model-Free Reinforcement Learning
(Master thesis, 2023)This paper aims to investigate the potential of model-free reinforcement learning using the Tsetlin Machine by evaluating its performance in widely recognized benchmark environments for reinforcement learning: Cartpole and ... -
Time trends of heavy metals and PAHs in blue mussels (Mytilus edulis) and contamination of sediments in the Kristiansandfjord, Southern Norway
(Master thesis, 2023)The Kristiansandfjord in Southern Norway has been contaminated for several decades (Green et al., 1985; Berge et al., 2007; Øxnevad et al., 2021). In this study, contaminant concentration data from blue mussel and sediments ... -
The effect of removing a natural migration barrier on a previously isolated population of Brown trout (Salmon trutta L.) – Kvåsfossen, Norway.
(Master thesis, 2023)In the years of 1970s and 1980s acidic rain threatened coastal freshwater fish populations in European rivers. Several fish populations in western and southern Norway were particularly affected including the Norwegian brown ... -
Size selectivity of standardized lobster traps used in long-term monitoring and their ability to catch large European lobsters (Homarus gammarus).
(Master thesis, 2023)Harvesting the resources of the ocean has been an integral part of both human settlement and advancements for millennia. In later years, the effects of unsustainable harvesting have become clearer, and several management ...