Blar i Department of Information and Communication Technology på tittel
Viser treff 398-417 av 1289
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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 ... -
Enterprise architecture operationalization and institutional pluralism: The case of the Norwegian Hospital sector
(Peer reviewed; Journal article, 2021)Enterprise architecture (EA) is a systematic way of designing, planning, and implementing process and technology changes to address the complexity of information system (IS) landscapes. EA is operationalized when architecture ... -
Enumeration of USB device descriptors to identify vulnerable installers
(Master thesis, 2022)A tweet on a newly found vulnerability in the Razer Synapse software in 2021 sparked a discussion on how Windows installs drivers. Additional vulnerabilities were quickly found in another application, but the findings ... -
Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network
(Peer reviewed; Journal article, 2020)In this paper, we propose a model for the Environment Sound Classification Task (ESC) that consists of multiple feature channels given as input to a Deep Convolutional Neural Network (CNN) with Attention mechanism. The ... -
An Environment Adaptive Approach for Indoor Localization Using the Tsetlin Machine
(Master thesis, 2021)Indoor positioning is a challenging task due to the small scale of area and the complex electromagnetic environment. Among different distance measurement schemes, Received Signal Strength Indication (RSSI) readings are ... -
"De er jo her fysisk. Da kan de jo bare snakke med hverandre." : En kvalitativ studie av hvilke faktorer som påvirker samfunnsfaglæreres tilrettelegging for elevenes bruk av digital samhandling og kommunikasjon på ungdomstrinnet
(Master thesis, 2020)Dette forskningsprosjektet har hatt som formål å undersøke hvilke faktorer som påvirker lærere på ungdomstrinnet når de planlegger for elevenes bruk av digitale verktøy til samarbeid og kommunikasjon. Forskningsspørsmålene ... -
ERCP: Energy-Efficient and Reliable-Aware Clustering Protocol for Wireless Sensor Networks
(Peer reviewed; Journal article, 2022)Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data ... -
Escape planning in realistic fire scenarios with Ant Colony Optimisation
(Journal article; Peer reviewed, 2014)An emergency requiring evacuation is a chaotic event, filled with uncertainties both for the people affected and rescuers. The evacuees are often left to themselves for navigation to the escape area. The chaotic situation ... -
Estimated accuracy of location in mobile networks using E-OTD
(Master thesis, 2002)This master thesis was performed for Telenor Research and Development, department Fornebu, Norway. The assignment was to evaluate the accuracy of the Enhanced Observed Time Difference (E-OTD) location method. Location ... -
Estimation of temperature development in secondary substation transformers
(Master thesis, 2021)The temperature in a transformer element has a great impact on the aging process fora transformer. After a pilot project that aimed to make their power grid smarter, Agder Energi had temperature-data from sensors placed ... -
Estimation of the Time-Variant Velocity of a Single Walking Person in Two-Dimensional Non-Stationary Indoor Environments Using Radio-Frequency Techniques
(Peer reviewed; Journal article, 2020) -
Estimation of the Velocity of a Walking Person in Indoor Environments from mmWave Signals
(Chapter; Peer reviewed, 2018) -
Estimation of the Velocity of a Walking Person in Non-Stationary Indoor Environments from the Received RF Signal
(Chapter; Peer reviewed, 2018) -
Estimation of the Velocity of Multiple Moving Persons in Non-Stationary Indoor Environments from Received RF Signals
(Chapter; Peer reviewed, 2019) -
Estimation of Wind Turbine Performance Degradation with Deep Neural Networks
(Journal article; Peer reviewed, 2022)In this paper, we estimate the age-related performance degradation of a wind turbine working under Norwegian environment, based on a deep neural network model. Ten years of high-resolution operational data from a 2 MW wind ...