Blar i Department of Information and Communication Technology på tittel
Viser treff 133-152 av 1273
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Application of information fusion to unreliable wireless sensor networks
(Master thesis, 2012)Thesis is appropriated analyze to performance metric evaluation for decentralized distributed detection sensor network strategy. Performance metric investigated a typical wireless sensor network with respect to IEEE ... -
The Application of the Tsetlin Machine in Checkers
(Master thesis, 2020)The Tsetlin Machine has shown promising results in the domain of board games such as Axis& Allies, showing that the Tsetlin Machine may be a contender to more well-known machine learning algorithms. This research aimed ... -
Applying Spring Security Framework with KeyCloak-Based OAuth2 to Protect Microservice Architecture APIs: A Case Study
(Peer reviewed; Journal article, 2022): In this study, we implemented an integrated security solution with Spring Security and Keycloak open-access platform (SSK) to secure data collection and exchange over microservice architecture application programming ... -
Artificial Intelligence for Sign Language Recognition and Translation
(Master thesis, 2022)In a world where people are more connected, the barriers between deaf people and hearing people is more visible than ever. A neural sign language translation system would break many of these barriers. However, there are ... -
Assessing challenges for remotely downloaded telecom features
(Master thesis, 2005)The telecom and software industries are converging, providing new market and revenue potentials for both industries. Personalization of services and applications is an emerging trend, and this thesis suggests using ... -
An Attention-Based Encoder-Decoder for Week-Ahead Sales Forecasts Applied to a Norwegian Zoo
(Master thesis, 2021)Accurate sales forecasts are vital for companies to plan efficiently and make strategic economic decisions. However, predicting future sales is a complex problem due to the high variance and strong seasonality of sales ... -
Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control
(Peer reviewed; Journal article, 2022)Intermittent renewable energy production and dynamic load must be balanced through appropriate control of integrated energy storage to account for the temporal discrepancy among power supply and demand. Intelligent control ... -
Augmented Reality enhanced device usage training tool for in-home health-self-monitoring by pregnant women
(Peer reviewed; Journal article, 2023)Virtual care comprising virtual visits and monitoring via audio or video has the potential to reduce access barriers to care and has been successfully implemented in prenatal care. It reduces the frequency of in-person ... -
An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology
(Peer reviewed; Journal article, 2023)Electronic coaching (eCoach) facilitates goal-focused development for individuals to optimize certain human behavior. However, the automatic generation of personalized recommendations in eCoaching remains a challenging ... -
Automatic calibration of numerical model using artificial intelligence based techniques
(Master thesis, 2010)Many energy companies rely on natural resources to produce energy. They use advanced models to estimate how much of those resources they have access to, but if a model is to make an accurate estimation it needs to be ... -
Automatic Categorization of Web Sites
(Master thesis, 2008)In this thesis we have presented a solution to classify websites into geographical attribute code (NUTS) and economical activities attribute codes(NACE). We propose a solution for web site classification with high accuracy. ... -
An automatic cooperative retransmission MAC protocol in wireless local area networks
(Chapter; Peer reviewed, 2009)Existing solutions for cooperation in wireless networks either require simultaneous transmission of source and relay nodes or impose major modifications to original MAC protocols. In this paper, a new efficient retransmission ... -
Automatic data extraction from online discussion boards
(Master thesis, 2009)There has been written many papers on field of mining data from structured web pages. However, few if any of these papers focus on the area of retrieving specific parts of discussion board postings. A discussion board ... -
Automatic evaluation of information provider reliability and expertise
(Journal article; Peer reviewed, 2013)Q&A social media have gained a lot of attention during the recent years. People rely on these sites to obtain information due to a number of advantages they offer as compared to conventional sources of knowledge (e.g., ... -
Automatic Generation of Personalized Recommendations in eCoaching
(Doctoral dissertations at the University of Agder; no. 421, Doctoral thesis, 2023)Denne avhandlingen omhandler eCoaching for personlig livsstilsstøtte i sanntid ved bruk av informasjons- og kommunikasjonsteknologi. Utfordringen er å designe, utvikle og teknisk evaluere en prototyp av en intelligent ... -
Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies
(Peer reviewed; Journal article, 2022)Relative radiometric normalization (RRN) is important for pre-processing and analyzing multitemporal remote sensing (RS) images. Multitemporal RS images usually include different land use/land cover (LULC) types; therefore, ... -
Automatic Response to Intrusion Detection
(Master thesis, 2004)Attacks on computer systems are a growing problem. According to CERT there where 137,529 reported incidents in 2003 in contrast to 82,094 reported incidents in 2002. As the numbers of incidents grow, the work of applying ... -
Automation and Digitalization of Agreements in the Maritime Sector: A Blockchain Based Approach
(Master thesis, 2022)In the maritime sector there are many procedures that rely on exchange of documents among stakeholders and that require manual validation and processing. This is both an ineffective and error prone practice that can be ... -
Automatisk litelogianalyse basert på maskinlæringsalgoritmer med utgangspunkt i Naive Bayes Classifier
(Master thesis, 2005)Når det skal bores etter olje eller andre mineraler vil det være en fordel å vite noe om grunnen det skal bores i. Ved hjelp av sensorer som sitter på borestrengen kan man med stor sikkerhet avgjøre i hvilken litelogi ... -
Autonomous UAV Path Planning Using Modified PSO for UAV-Assisted Wireless Networks
(Peer reviewed; Journal article, 2023)Recently, unmanned aerial vehicles (UAVs) have attained considerable attention for providing reliable and cost-effective communication due to the flexibility of deployment and line of sight (LoS) propagation. Efficient UAV ...