Blar i Department of Information and Communication Technology på tittel
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An Exact Solution for the Level-Crossing Rate of Shadow Fading Processes Modelled by Using the Sum-of-Sinusoids Principle
(Journal article; Peer reviewed, 2010)The focus of this paper is on the higher order statistics of spatial simulation models for shadowing processes. Such processes are generally assumed to follow the lognormal distribution. The proposed spatial simulation ... -
Examining ant colony optimization performance for ship evacuation
(Master thesis, 2013)Evacuating passengers during a fire on board ships is a difficult task and any improvements on current procedures can help save lives. This report describes how an Ant Colony Optimization (ACO) pathfinding algorithm could ... -
Examining the Security and Privacy Barriers of Third-Party Public Cloud Services A Case Study of Diverse Norwegian Municipalities
(Master thesis, 2023)This project conducts an exploratory case study to identify privacy and security barriers that Norwegian municipalities of varying sizes face while adopting third-party public cloud services. Government regulations hinder ... -
Expanding Convolutional Tsetlin Machine for Images with Lossless Binarization
(Master thesis, 2020)Deep convolutional neural networks (CNN) is known to be efficient in image classification but non-interpretable. To overcome the black box nature of CNN a derivative of the Tsetlin automata, the convolutional Tsetlin machine ... -
Expanding on the end-to-end memory network for goal-oriented dialogue
(Master thesis, 2019)A series of end-to-end models have been proposed in order to satisfy therequirements of the Dialog System Technology Challenge: building an end-to-end dialog system for goal-oriented applications. While ... -
The expectations and perceived usefulness to a future secure "net-health" portal for patients with chronic diseases
(Master thesis, 2006)The recent advancements in technology are constantly changing the way healthcare is practiced and delivered. The number of patients receiving treatment at home will increase. The Internet as a source of information and ... -
Experiential Learning of Chemistry Concepts Using Virtual Reality Technology
(Master thesis, 2016)Chemistry is a wide subject with many theoretical concepts. These theoretical concepts may be hard to grasp without experimental work. In a school class there are often students who are visual, auditory and kinesthetic ... -
Experimental Characterization of Mobile Fading Channels Aiming the Design of Non-Wearable Fall Detection Radio Systems at 5.9 GHz
(Chapter; Peer reviewed, 2016) -
Experimental Investigation of the Optimal Ingot Resistivity for both the Cell Performances and the Temperature Coefficients for Different Cell Architectures.
(Journal article; Peer reviewed, 2018) -
Experimental study to optimize cold working, aging temperature, and time on the properties of AA6061 tubes: analysis using design of experiment
(Peer reviewed; Journal article, 2023)The purpose of this study is to examine the impact of various process parameters, such as cold work, aging temperature, and aging time, on the yield strength, ultimate tensile strength (UTS), and elongation of AA6061 tubes. ... -
Experimental Validation for Spectrum Cartography using Adaptive Multi-kernels
(Chapter; Peer reviewed, 2017) -
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
(Peer reviewed; Journal article, 2022)In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims to incorporate semi-supervised learning into reinforcement ... -
An expert system for safety instrumented system in petroleum industry
(Master thesis, 2010)The expert system technology has been developed since 1960s and now it has proven to be a useful and effective tool in many areas. It helps shorten the time required to accomplish a certain job and relieve the workload for ... -
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment
(Journal article, 2022)The proliferation of fake news, i.e., news intentionally spread for misinformation, poses a threat to individuals and society. Despite various fact-checking websites such as PolitiFact, robust detection techniques are ... -
Exploration and Performance Analysis of Clustering Algorithms for Time-Series Data with Dimension Reduction
(Master thesis, 2022)Clustering is an attempt to form groups of similar objects, and it is a powerful tool for discovering valuable underlying patterns in the data. When clustering on high dimensional data, the algorithms can suffer from the ... -
Exploration and Performance Analysis of Clustering Algorithms for Time-Series Data with Dimension Reduction
(Master thesis, 2022)Clustering is an attempt to form groups of similar objects, and it is a powerful tool for discovering valuable underlying patterns in the data. When clustering on high dimensional data, the algorithms can suffer from the ... -
An Exploration of Semi-supervised Text Classification
(Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)Good performance in supervised text classification is usually obtained with the use of large amounts of labeled training data. However, obtaining labeled data is often expensive and time-consuming. To overcome these ... -
An exploration of semi-supervised text classification
(Master thesis, 2021)Obtaining labeled data to train natural language machine learning algorithms is often expensive and time-consuming, while unlabeled data usually is free and easy to get. Frequently a large amount of labeled data ... -
Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment
(Peer reviewed; Journal article, 2022): The present era is facing the industrial revolution. Machine-to-Machine (M2M) communication paradigm is becoming prevalent. Resultantly, the computational capabilities are being embedded in everyday objects called things. ... -
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
(Chapter; Peer reviewed, 2023)Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...