Blar i Department of Information and Communication Technology på tittel
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Towards Automated Human Identification Using Dental X-ray Images
(Master thesis, 2015)Systems for automated human identification from dental X-ray images can be used to greatly reduce the necessary effort spent today by dental forensics experts. In this work a new methodology is proposed to create a system ... -
Towards Detecting Textual Plagiarism Using Machine Learning Methods
(Master thesis, 2015)Textual plagiarism is passing off someone else’s text as your own. The current state of the art in plagiarism detection performs well, but often uses a series of manually determined thresholds of metrics in order to ... -
Towards Improved Healthcare Performance: Examining Technological Possibilities and Patient Satisfaction with Wireless Body Area Networks
(Journal article; Peer reviewed, 2010)This paper investigates the benefits of using less intrusive wireless technologies for heart monitoring. By replacing well established heart monitoring devices (i.e. Holter) with wireless ECG based Body Area Networks (BAN), ... -
Towards intelligent and trustworthy task assignments for 5G-enabled industrial communication systems
(Peer reviewed; Journal article, 2023)With the unprecedented prevalence of IIoT and 5G technology, various applications supported by industrial communication systems have generated exponentially increased processing tasks, which makes task assignment inefficient ... -
Towards Responsible AI for Financial Transactions
(Chapter; Peer reviewed, 2020)The application of AI in finance is increasingly dependent on the principles of responsible AI. These principles-explainability, fairness, privacy, accountability, transparency and soundness form the basis for trust in ... -
Towards safe reinforcement-learning in industrial grid-warehousing
(Peer reviewed; Journal article, 2020) -
Towards the definitive evaluation framework for cross-platform app development approaches
(Journal article; Peer reviewed, 2019) -
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles
(Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)Providing full autonomy to Unmanned Surface Vehicles (USV) is a challenging goal to achieve. Autonomous docking is a subtask that is particularly difficult. The vessel has to distinguish between obstacles and the dock, and ... -
Tracking the preferences of users using weak estimators
(Lecture Notes in Computer Science;7106, Chapter; Peer reviewed, 2011)Since a social network, by definition, is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications which range from service recommender systems to ... -
A Trainable Approach to Zero-delay Smoothing Spline Interpolation
(Peer reviewed; Journal article, 2023)The task of reconstructing smooth signals from streamed data in the form of signal samples arises in various applications. This work addresses such a task subject to a zerodelay response; that is, the smooth signal must ... -
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 ... -
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 ... -
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, ... -
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 ... -
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 ... -
Tsetlin Machine for Fake News Detection: Enhancing Accuracy and Reliability
(Master thesis, 2023)This thesis aims to improve the accuracy of fake news detection by using Tsetlin Machines (TM). TMs are well suited for noisy and complex relations within the provided data, which on initial analysis, overlaps nicely with ... -
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 ...