Blar i Department of Information and Communication Technology på tittel
Viser treff 381-400 av 1303
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Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey
(Peer reviewed; Journal article, 2022)In the modern-day era of technology, a paradigm shift has been witnessed in the areas involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). Specifically, Deep Neural Networks ... -
An Efficient Online/Offline Signcryption Scheme for Internet of Things in Smart Home
(Peer reviewed; Journal article, 2022) -
An Efficient Optimized DenseNet Model for Aspect-Based Multi-Label Classification
(Peer reviewed; Journal article, 2023)Sentiment analysis holds great importance within the domain of natural language processing as it examines both the expressed and underlying emotions conveyed through review content. Furthermore, researchers have discovered ... -
eHealth-extended Care Coordination: Development of a Collaborative System for Inter-municipal Dementia Teams-A research project with a user-centered design approach
(Chapter, 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 ... -
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 ... -
Enabling Soft Frequency Reuse and Stienen's Cell Partition in Two-Tier Heterogeneous Networks: Cell Deployment and Coverage Analysis
(Peer reviewed; Journal article, 2020)Heterogeneous cellular networks (HetNets) are one of the key enabling technologies for fifth generation (5 G) networks. In HetNets, the use of small base stations (SBSs) inside the coverage area of a macro base station ... -
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 ...