Browsing Faculty of Engineering and Science by Title
Now showing items 1008-1027 of 3256
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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 Material Reduction in the Construction Industry Through Modern Technologies
(Master thesis, 2022)The problem area of this master thesis is how can modern technologies be utilized in bespoke concrete construction to reduce material mass and incorporate traditional architectural features into today's construction industry ... -
Enhancing Mathematics Learning Through Peer Assessment Using Mobile Tablet Based Solutions
(Doctoral dissertations at the University of Agder;64, Doctoral thesis; Peer reviewed, 2013)Higher education is facing unprecedented challenges with an increasing demand for high quality education, driven by tougher global competition. Student numbers are fast growing at most universities, whereas the sources ... -
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) -
Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems
(Peer reviewed; Journal article, 2023)In this paper, ensemble-based machine learning models with gradient boosting machine and random forest are proposed for predicting the power production from six different solar PV systems. The models are based on three ... -
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 ... -
Entry-item-quantity-ABC analysis-based multitype cigarette fast sorting system
(Journal article; Peer reviewed, 2012)Numerous items, small order, and frequent delivery are the characteristics of many distribution centers. Such characteristics generally increase the operating costs of the distribution center. To remedy this problem, this ... -
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 ... -
Environmental DNA analysis indicates that migration barriers are decreasing the occurrence of European eel (Anguilla anguilla) in distance from the sea
(Peer reviewed; Journal article, 2020) -
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 ... -
Epifaunal and infaunal responses to submarine mine tailings in a Norwegian fjord
(Peer reviewed; Journal article, 2019)Disposal of mine tailings in marine shallow water ecosystems represents an environmental challenge, and the present paper reports results from a field study in Frænfjorden, Norway, which is subject to such disposal. ... -
"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 ...