Blar i Department of Information and Communication Technology på tittel
Viser treff 378-397 av 1273
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eHealth-extended Care Coordination: Development of a Collaborative System for Inter-municipal Dementia Teams-A research project with a user-centered design approach
(Chapter; Peer reviewed, 2015)In Norway, a health reform was recently adopted to improve continuity of care. Services that were carried out in hospitals were transferred to municipalities. Small and medium size municipalities have established inter-municipal ... -
Electronic invoicing for small businesses
(Master thesis, 2011)The Norwegian government has released an act suggesting that all invoices sent to the public sector should be sent electronically by the year 2012. In addition more and more large companies demand their suppliers to send ... -
Empirical Evaluation of the Bayesian Learning Automaton Family
(Master thesis, 2009)The two-armed bandit problem is a classical optimization problem where a player sequentially selects and pulls one of two arms attached to a gambling machine, and each arm pull results in either a reward or penalty to ... -
En evaluering av systemdynamisk modellering av logistikk
(Master thesis, 2000)Denne oppgaven tar opp og peker på noen generelle logistikk problemer som produksjonsbedrifter kan møte. Flere bedrifter i elektronikk bransjen, særlig produsenter sliter med dekningsbidraget for det de produserer. ... -
En lokasjonsavhengig reiselivstjeneste : drøfting av nøyaktighet, bruksområde og tjenestekvalitet
(Master thesis, 2002)Denne oppgaven har diskutert hvilken nøyaktighet, hvilket bruksområde og hvilken tjenestekvalitet som det er behov for i forbindelse med mobile lokasjonsbaserte tjenester. Den har til slutt anbefalt noen forbedringer til ... -
Enabling Edge Computing In 5G Via Local Area Data Network : Implementation and Experiments
(Master thesis, 2019)The benefits of cloud computing are eclipsing when compared to other technologies, but the applications of cloud computing are very much cloud computing also has limitations due to its centralized architecture. The centralized ... -
Enactive methods towards situational learning - engaging people with intellectual and developmental disability in design
(Peer reviewed; Journal article, 2022)In this paper we explore how enactive methods may support and enhance the design of mobile solutions for people with intellectual and developmental disabilities. Our project deals with supporting independent public transport ... -
An Encoder-Decoder based Deep Learning Approach for Anonymization of Visual Surveillance Media with Preservation of Utility
(Master thesis, 2020)The field of computer vision has seen significant progress recently fol-lowing innovations in deep learning neural networks. Activity can be identified from surveillance cameras. Automatic detection of unwanted incidents ... -
End-to-end key performance indicators in cellular networks
(Master thesis, 2006)The continuing growth of customers taking advantage of the available services means greater load on the cellular network. Optimization is the key to ensure that the network can provide a reasonable level of service-quality. ... -
Energy Efficient Consensus Over Directed Graphs
(Chapter; Peer reviewed, 2018)Consensus algorithms are iterative methods that represent a basic building block to achieve superior functionalities in increasingly complex sensor networks by facilitating the implementation of many signal-processing tasks ... -
An enhanced TCP congestion avoidance scheme and its performance evaluation in high speed satellite networks
(Chapter; Peer reviewed, 2009)High speed satellite communication networks are emerging as part of the future global wireless communication systems. However, existing transmission control protocols for satellite networks do not provide satisfactory ... -
Enhancing Attention’s Explanation Using Interpretable Tsetlin Machine
(Journal article; Peer reviewed, 2022)Explainability is one of the key factors in Natural Language Processing (NLP) specially for legal documents, medical diagnosis, and clinical text. Attention mechanism has been a popular choice for such explainability ... -
Enhancing Cardiovascular Disease Prediction via Hybrid Deep Learning Architectures : A Step Towards Smart Healthcare
(Chapter; Peer reviewed, 2023)Cardiovascular disease presents a serious and increasing global health challenge, making a substantial contribution to morbidity and mortality rates on a global scale. This research study presents a novel methodology for ... -
Enhancing hierarchical clustering with local search
(Master thesis, 2007)Data Clustering is defined as grouping together objects which share similar properties. These properties can be anything as long as it is possible to measure and compare them. Clustering can be an important tool in many ... -
Enhancing the Prediction of Lung Cancer Survival Rates Using 2D Features from 3D Scans
(Lecture Notes in Computer Science; vol. 12132, Chapter; Peer reviewed, 2020) -
Enhancing the Resolution of the Spectrogram of Non-Stationary Mobile Radio Channels by Using Massive MIMO Techniques
(Chapter; Peer reviewed, 2017)This paper is concerned with the enhancement of the resolution of the spectrogram of non-stationary mobile radio channels using massive multiple-input multiple-output (MIMO) techniques. By starting from a new generic ... -
An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals
(Peer reviewed; Journal article, 2022) -
An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications
(Peer reviewed; Journal article, 2022)Traditional advertising techniques seek to govern the consumer’s opinion toward a product, which may not reflect their actual behavior at the time of purchase. It is probable that advertisers misjudge consumer behavior ... -
An Ensemble-Based IoT-Enabled Drones Detection Scheme for a Safe Community
(Peer reviewed; Journal article, 2023)With the increasing use of Internet of Things (IoT)-enabled drones for various purposes, including photography, delivery, and surveillance, concerns related to privacy and security have arisen. Drones have the potential ...