Browsing Department of Electrical and Computer Engineering (TN-IDE) by Title
Now showing items 831-850 of 1103
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Scheduling Drilling Processes With Petri Nets
(PhD thesis UiS;, Doctoral thesis, 2013)Safety issues in drilling are related to two facts: Wells are becoming more complex, and manually piloting a drilling rig is a difficult task which requires highly skilled personnel. Consequently, improving safety is ... -
Secure and Privacy Driven Energy Data Analytics
(PhD thesis UiS;, Doctoral thesis, 2022-11)Renewable resources are the main energy sources in a smart grid project. In order to ensure the smooth functioning of the smart grid, Information and Communication Technologies (ICT) need to be utilised efficiently. The ... -
Secure and reliable wireless and ad hoc communications
(PhD thesis UiS;82, Doctoral thesis, 2009-11-20)Wireless and ad hoc communication systems create additional challenges for the implementation of security and reliability services when compared to fixed networks. On the one hand, the inherent characteristics of wireless ... -
Secure Distributed Computing Managed by Blockchain
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)Moving large amounts of data between networks for data analysis and computations presents several issues related to privacy and security. In collaboration with the TOTEM project [1], we propose a solution to these problems, ... -
Secure sharing system with proxy re-encryption
(Masteroppgave/UIS-TN-IDE/2015;, Master thesis, 2015-06-12)This work introduces a new and secure mechanism for sharing files. In providing a complete implementation of a relatively recent cryptographic primitive known as proxy re-encryption, the thesis sharing system design ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
(Peer reviewed; Journal article, 2022)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks
(Peer reviewed; Journal article, 2022-09-14)Next-generation communication networks, also known as NextG or 5G and beyond, are the future data transmission systems that aim to connect a large amount of Internet of Things (IoT) devices, systems, applications, and ... -
Security in Critical Information Infrastructures
(PhD thesis UiS;254, Doctoral thesis, 2015-06-05)Information and Communication Technologies (ICT) are permeating the critical infrastructures that our modern society relies on, and ICT security is becoming increasingly important to all aspects of our lives. This dissertation ... -
Security Incident Information Exchange for Cloud Service Provisioning Chains
(Journal article; Peer reviewed, 2018-12)Online services are increasingly becoming a composition of different cloud services, making incident-handling difficult, as Cloud Service Providers (CSPs) with end-user customers need information from other providers about ... -
Security-aware Resource Allocation for Space-Air-Ground Integrated Network using Deep Reinforcement Learning
(Master thesis, 2023)A Space-Air-Ground Integrated Network (SAGIN) has been proposed to extend communication network service coverage to consumer-oriented and industrial sectors where communication network coverage is either limited or ... -
Seeded growing algorithms for salt body segmentation in post-stack seismic data
(Masteroppgave/UIS-TN-IDE/2012;, Master thesis, 2012)For a more accurate geological model, it is crucial to have proper segmentation and delineation of structures. Salt structures are known to be difficult to segment given their chaotic nature; however, there are methods ... -
Segmentation of infarcted regions in Perfusion CT images by 3D deep learning
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)This thesis explores different Convolutional Neural Network (CNN) approaches to classify and segment infarcted regions from images taken through a Computed Tomography Perfusion (CTP) from patients of the Stavanger’s hospital ... -
Segmentering av hvit substans lesjoner i magnetresonansavbildninger (MRI) av hjernen
(Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)Automatisk gjenkjenning av hvit substans lesjoner i hjernen vil være nyttig både for å stille diagnose og i forbindelse med annen forskning på forandringer i hjernen. Her vil forskjellige metoder fra literaturen bli utprøvd ... -
Self-Emerging Proof-of-Storage Challenges Using Smart Contracts
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06-15)Proof-of-Storage (PoS) is a collective term for protocols that allow proving data integrity and availability. There exist several PoS schemes. While they differ in detailed specifications, their common primary advantage ... -
Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020
(Chapter, 2020)This paper summarizes our participation in the SMART Task of the ISWC 2020 Challenge. A particular question we are interested in answering is how well neural methods, and specifically transformer models, such as BERT, ... -
Semantic Query Reasoning in Distributed Environment
(Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)Semantic Web aims to elevate simple data in WWW to semantic layer, so that knowledge, processed by machine, can be shared more easily. Ontology is one of the key technologies to realize Semantic Web. Semantic reasoning is ... -
Semantic technology for management of data recorded during therapy of cardiac arrest patients
(Masteroppgave/UIS-TN-IDE/2010;, Master thesis, 2010)The topic of this thesis is the integration of data recorded during cardiopulmonary resuscitation (CPR). In the process of CPR many important data should be recorded, such as: time of the cardiac arrest witnessed, number ... -
Semi-Supervised Image Segmentation of Medical Data
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)Bladder cancer is the fourth most common cancer type in Norway, and tenth most common on a global scale. More and more tissue samples are sent to pathologists labs, increasing the workload and affecting the waiting time ... -
Semi-supervised learning for classification of Nordic news articles
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)Semi-supervised learning defines the techniques that fall in between supervised and unsupervised learning. It is commonly used in classification settings where one has a lesser amount of labeled data compared to unlabeled. ... -
Semi-supervised tissue segmentation of histological images
(Peer reviewed; Journal article, 2020-09)Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ...