Browsing Department of Information and Communication Technology by Title
Now showing items 847-866 of 1283
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Online or offline – Does it matter?: A study of in-service teachers' perceptions of learning outcomes in Norway
(Peer reviewed; Journal article, 2020) -
Online Topology Identification From Vector Autoregressive Time Series
(Peer reviewed; Journal article, 2020)Causality graphs are routinely estimated in social sciences, natural sciences, and engineering due to their capacity to efficiently represent the spatiotemporal structure of multi-variate data sets in a format amenable for ... -
Ontological Modelling of FEST with support for DDI Reasoning
(Master thesis, 2017)FEST is a Norwegian database and information service aimed towards providing all the required pharmaceutical data to different stakeholders such as hospitals, pharmaceutical companies, and practitioners. FEST being a ... -
Ontological representation of texts, and its applicationsin text analysis
(Master thesis, 2003)For the management of a company, the need to know what people think of their products or services is becoming increasingly important in an increasingly competitive market. As the Internet can nearly be described as a ... -
Ontology based study planning and classification of university subjects
(Master thesis, 2015)This is first and foremost a research project into study planning at the University of Agder. What tools are available for students now, and can an ontology help make it easier? Having a plan for your education is important, ... -
Ontology driven generation of tools for building and navigating knowledge bases
(Master thesis, 2004)Throughout the work of this thesis we have considered how to apply usability engineering to multiple different projects using their own ontologies. Reviews on existing applications similar to the Topic Map were made. The ... -
Ontology guided financial knowledge extraction from semistructured information sources
(Master thesis, 2003)Intermedium has an agent searching the Web for financial articles defined by certain criteria, for instance an industrial domain of interest. A portal service for reading and searching these articles, are available for ... -
Ontology-based clinical decision support system applied on diabetes
(Master thesis, 2017)Medical diagnosis is a multi-step process which is complex as it requires the consideration of many factors. Additionally, the accuracy of diagnosis varies depending on the skill and knowledge a physician has in the medical ... -
Ontology-based personalized system to support patients at home
(Master thesis, 2014)Chronic diseases are incurable diseases that require long term supervision and treatments by medical professionals. The most common chronic diseases are cardiovascular disease, obesity, diabetes respiratory diseases and ... -
Open formats and interfaces for exchange of public information
(Master thesis, 2003)Electronic reporting is an important part of all national eGovernment initiatives. XML4DR is a standard based on XML, proposed by a consortium funded by the European Commission. An application used for reporting from ... -
Open-Source based 5G Mobile Communication Systems: Design, Implementation, and Experiments
(Master thesis, 2022)Fifth Generation (5G) mobile communication system is currently being deployed globally. Different from earlier generation mobile systems, this generation of mobile communication systems offers a variety of novel features ... -
OpenIMS and Interoperability with Asterisk/Sip Express VOIP Enterprise Solutions
(Master thesis, 2007)Nowadays, with the development of the next-generation network, IMS becomes very important, and it will play a key role in the future All-IP infrastructure. But it is still in the developing stage, and it will take time ... -
Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem
(Journal article; Peer reviewed, 2010)While training and estimation for Pattern Recognition (PR) have been extensively studied, the question of achieving these when the resources are both limited and constrained is relatively open. This is the focus of this ... -
Optimal Service Placement with QoS Monitoring in NFV and Slicing Enabled 5G IoT Networks
(Chapter, 2021)Network function virtualization (NFV) and network slicing are two promising enabling technologies for 5G networks. Considering the volume of data traffic generated by Internet of things (IoT) applications and their service ... -
Optimal “anti-Bayesian” parametric pattern classification for the exponential family using Order Statistics criteria
(Lecture Notes in Computer Science;7324, Chapter; Peer reviewed, 2012)This paper reports some pioneering results in which optimal parametric classification is achieved in a counter-intuitive manner, quite opposed to the Bayesian paradigm. The paper, which builds on the results of [1], ... -
Optimal “anti-Bayesian” parametric pattern classification using Order Statistics criteria
(Lecture Notes in Computer Science;7441, Chapter; Peer reviewed, 2012)The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature ... -
Optimalisering av modulasjon og koding for å muliggjøre høyere datarater i videreutviklingen av eksisterende Inmarsat satellittkommunikasjonssystemer
(Master thesis, 2002)Inmarsat plasserer en ny generasjon satellitter i geostasjonærbane i løpet av 2003/04. De nye satellittene vil være 100 ganger kraftigere enn dagens og vil kunne øke kommunikasjons-kapasiteten betraktelig. Denne rapporten ... -
Optimization and Disruption in Physical Retail Shopping Environment
(Master thesis, 2022)Every year, queues cost brick-and-mortar retailers billions in lost revenues, and consumers are growing more impatient about standing in line. To survive the competition from e-commerce, stores need new innovations that ... -
Optimization channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach
(Journal article; Peer reviewed, 2015) -
Optimization of Multivariate Hawkes Processes via Decentralized Learning Automata: Towards Learning How to Boost Factual Information on Social Networks
(Doctoral dissertations at University of Agder;no. 439, Doctoral thesis, 2023)The increasing amount of misleading information on Social Media (SM) platforms is problematic. The reason is that these platforms have become one of the primary sources of information due to their ease-of-use and cheap ...