Browsing Faculty of Engineering and Science by Title
Now showing items 3042-3061 of 3244
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Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys
(Peer reviewed; Journal article, 2022) -
A Trajectory-Driven 3D Non-Stationary mm-Wave MIMO Channel Model for a Single Moving Point Scatterer
(Peer reviewed; Journal article, 2021)This paper proposes a new non-stationary three-dimensional (3D) channel model for a physical millimeter wave (mm-Wave) multiple-input multiple-output (MIMO) channel. This MIMO channel model is driven by the trajectory of ... -
A Trajectory-Driven SIMO mm-Wave Channel Model for a Moving Point Scatterer
(Chapter, 2021)In this paper, we propose a trajectory-based three-dimensional (3D) non-stationary channel model for a millimeter wave (mm-Wave) single-input multiple-output (SIMO) system. The proposed channel model is designed to capture ... -
Trans-oceanic genomic divergence of Atlantic cod ecotypes is associated with large inversions
(Journal article; Peer reviewed, 2017)Chromosomal rearrangements such as inversions can play a crucial role in maintaining polymorphism underlying complex traits and contribute to the process of speciation. In Atlantic cod (Gadus morhua), inversions of several ... -
Transcriptomic responses to environmental change in fishes: Insights from RNA sequencing
(Journal article, 2017)The need to better understand how plasticity and evolution affect organismal responses to environmental variability is paramount in the face of global climate change. The potential for using RNA sequencing (RNA-seq) to ... -
Transfer Learning Based Joint Resource Allocation for Underlay D2D Communications
(Chapter; Peer reviewed, 2022)In this paper, we investigate the application of transfer learning to train a Deep Neural Network (DNN) model for joint channel and power allocation in underlay device-todevice (D2D) communication. Based on the traditional ... -
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 ... -
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 ... -
Transformation algorithm of dielectric response in time-frequency domain
(Journal article; Peer reviewed, 2014)A transformation algorithm of dielectric response from time domain to frequency domain is presented. In order to shorten measuring time of low or ultralow frequency dielectric response characteristics, the transformation ... -
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, ... -
Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic
(Chapter, 2021)Network slicing enabled by fifth generation (5G) systems has the potential to satisfy diversified service requirements from different vertical industries. As a typical vertical industry, smart distribution grid poses new ... -
A transition to online teaching and learning of mathematics in Norwegian higher education institutions: the perspectives of lecturers and students
(Peer reviewed; Journal article, 2022)This paper reports a study of university lecturers’ and students’ experiences of teaching and learning mathematics following the abrupt requirement to switch to online teaching in 2020. A goal of the study is to share ... -
Trådløs kommunikasjon i prosessindustrien : case Elkem Fiskaa Silicon
(Master thesis, 2000)Vil innføring av trådløs teknologi ved EFS få konsekvenser for organisasjonsstrukturen og operatørenes arbeidssituasjon? Dette er et av de sentrale spørsmålene i denne rapporten, og ved å analysere fem forskjellige teknologiske ... -
Trends and potential human health risk of trace elements accumulated in transplanted blue mussels during restoration activities of Flekkefjord fjord (Southern Norway)
(Peer reviewed; Journal article, 2022)The monitoring of contaminants represents a priority to preserve the integrity of marine ecosystems, as well as to plan and to manage restoration activities in order to protect environmental and human health. In the present ... -
Trends in marine survival of Atlantic salmon populations in eastern Canada
(Peer reviewed; Journal article, 2021)Declines in wild Atlantic salmon (Salmo salar) abundance throughout the north Atlantic are primarily attributed to decreases in survival at sea. However, comparing trends in marine survival among populations is challenging ... -
Triangulating Precision: A Comparative Study of Manual and Automated Annotations with YOLO,Azure Custom Vision and Grounded SAM on a Customized Data set for creation of a product for safety of recycling industries
(Master thesis, 2024)This thesis centers on the imperative task of detecting and segmenting batteries within the recycling industry, addressing the need for an efficient and accurate solution. The primary goal is to conduct a comprehensive ... -
Trust-aware RBAC
(Lecture Notes in Computer Science;7531, Chapter; Peer reviewed, 2012)In this paper we propose a trust-aware enhancement of RBAC (TA-RBAC) that takes trustworthiness of users into consideration explicitly before granting access. We assume that each role in the framework is associated with ... -
Trying to Find a Correlation Between Spawning- and Nursery Grounds in Different Regions of Norway.
(Master thesis, 2022)På grunn av overfiske av kommersielle viktige fiskearter, har det blitt enda viktigere å opprettholde bærekraftige bestander. Det holder ikke å bare regulere mengden fisk fanget av fiskerier, å beskytte områder som er ...