Browsing Department of Information and Communication Technology by Title
Now showing items 141-160 of 1303
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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 ... -
Background noise classification and denoising of audio signals utilizing empirical wavelet transform and deep learning
(Master thesis, 2021)The importance of sound and speech cannot in human life cannot be overstated. Ambient sound informs us about our surroundings and warn us of potential dangers, such as a car approaching from behind. One of the most common ... -
Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
(Peer reviewed; Journal article, 2020) -
Balanced scorecard as a strategic management tool : the case of Seagull AS
(Master thesis, 2003)Can investments in IT help a company to achieve its overall strategy and vision? Research over several years has resulted in mixed findings but several studies shows that the IT investments actually can result in better ... -
Balancing Profit, Risk, and Sustainability for Portfolio Management
(Chapter; Peer reviewed, 2022)Stock portfolio optimization is the process of continuous reallocation of funds to a selection of stocks. This is a particularly well-suited problem for reinforcement learning, as daily rewards are compounding and objective ... -
Beyond Early: Decision Support for Improved Typhoon Warning Systems
(Journal article; Peer reviewed, 2015)Warnings can help prevent damage and harm if they are issued timely and provide information that help responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor ... -
Bi-objective multi-layer location–allocation model for the immediate aftermath of sudden-onset disasters
(Peer reviewed; Journal article, 2019)