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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 ... -
Evaluating Accessibility and Usability of an Experimental Situational Awareness Room
(Chapter; Peer reviewed, 2018) -
Evaluation of a Telemedicine Service Run with a Patient-centred Care Model
(Journal article; Peer reviewed, 2018)The number of patients with chronic conditions and multi-morbidities is increasing, addressing a need for patient-centred care. The research project Patients and Professionals in Productive Teams aims to study patient-centred ... -
Evaluation of Deep Learning and Conventional Approaches for Image Recaptured Detection in Multimedia Forensics
(Peer reviewed; Journal article, 2022)Image recaptured from a high-resolution LED screen or a good quality printer is difficult to distinguish from its original counterpart. The forensic community paid less attention to this type of forgery than to other image ... -
Evaluation of international standards for ECG-recording and storage for use in tele-medical services
(Research report, 2006-05-16)This report is written to clarify which of the international standards for ECG recordings that can be used in tele-medical services, where the recordings should be transmitted by wireless telecommunication facilities and ... -
An Evaluation of Telemedicine Systems in Patient-centred Care Teams
(Journal article; Peer reviewed, 2020) -
Evaluation of the Technology Use in an Inter-disciplinary Patient-centered Health Care Team
(Journal article; Peer reviewed, 2019) -
Evaluation of Touchscreen Assistive Technology for Visually Disabled Users
(Chapter; Peer reviewed, 2017) -
Eventual Consistency Formalized
(Chapter; Peer reviewed, 2019) -
Exact closed-form expressions for the distribution, the level-crossing rate, and the average duration of fades of the capacity of OSTBC-MIMO channels
(Journal article; Peer reviewed, 2009)This paper deals with some important statistical properties of the channel capacity of multiple-input-multiple-output (MIMO) systems with orthogonal space-time block code (OSTBC) transmission. We assume that all the ... -
An Exact Solution for the Level-Crossing Rate of Shadow Fading Processes Modelled by Using the Sum-of-Sinusoids Principle
(Journal article; Peer reviewed, 2010)The focus of this paper is on the higher order statistics of spatial simulation models for shadowing processes. Such processes are generally assumed to follow the lognormal distribution. The proposed spatial simulation ... -
Experimental Characterization of Mobile Fading Channels Aiming the Design of Non-Wearable Fall Detection Radio Systems at 5.9 GHz
(Chapter; Peer reviewed, 2016) -
Experimental Investigation of the Optimal Ingot Resistivity for both the Cell Performances and the Temperature Coefficients for Different Cell Architectures.
(Journal article; Peer reviewed, 2018) -
Experimental study to optimize cold working, aging temperature, and time on the properties of AA6061 tubes: analysis using design of experiment
(Peer reviewed; Journal article, 2023)The purpose of this study is to examine the impact of various process parameters, such as cold work, aging temperature, and aging time, on the yield strength, ultimate tensile strength (UTS), and elongation of AA6061 tubes. ... -
Experimental Validation for Spectrum Cartography using Adaptive Multi-kernels
(Chapter; Peer reviewed, 2017) -
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
(Peer reviewed; Journal article, 2022)In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims to incorporate semi-supervised learning into reinforcement ... -
An Exploration of Semi-supervised Text Classification
(Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)Good performance in supervised text classification is usually obtained with the use of large amounts of labeled training data. However, obtaining labeled data is often expensive and time-consuming. To overcome these ... -
Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment
(Peer reviewed; Journal article, 2022): The present era is facing the industrial revolution. Machine-to-Machine (M2M) communication paradigm is becoming prevalent. Resultantly, the computational capabilities are being embedded in everyday objects called things. ... -
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
(Chapter; Peer reviewed, 2023)Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...