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Ecosystem classification using machine learning
(Master thesis, 2024)Økosystemer er en avgjørende del av jorden, og de gir essensielle ressurser samtidig som de påvirker menneskers helse på ulike måter. rammeverket for planetariske grenser, foreslått av et team av forskere ved Stockholm ... -
EEG Controlled Robot Arm
(Bachelor thesis, 2019)Denne rapporten omhandler utviklingen av et system for styring av en robotarm ved bruk av elektro-elektrofalografisk utstyr, kunstig intelligens og digitale signalbehandlingsteknikker. Formålet med prosjektet var å undersøke ... -
EEG for ALS Bachelor Thesis
(Bachelor thesis, 2021)Målet med denne bacheloren var å forbedre livskvaliteten, bedre kommunikasjonen og uavhengigheten til mennesker rammet av \acrshort{als} eller andre fysiske funksjonshemninger. For å oppnå disse målene ble det utviklet en ... -
Eemds: An effective emergency message dissemination scheme for urban vanets
(Peer reviewed; Journal article, 2021)In Vehicular Adhoc Networks (VANETs), disseminating Emergency Messages (EMs) to a maximum number of vehicles with low latency and low packet loss is critical for road safety. However, avoiding the broadcast storm and dealing ... -
Effects of Progressive Deltoid Ligament Sectioning on Weber B Ankle Fracture Stability
(Peer reviewed; Journal article, 2023)Background: Conventionally, transsyndesmotic fibula fractures with concomitant signs of deltoid ligament injury have been considered unstable and thus treated operatively. Recent studies have indicated that partial deltoid ... -
An efficient and lightweight multiperson activity recognition framework for robot-assisted healthcare applications
(Peer reviewed; Journal article, 2024)Aging is inevitably associated with a decline in physical abilities and can pose challenges to the social lives of elderly individuals. In long-term care facilities, group exercise is instrumental for keeping elderly ... -
An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
(Peer reviewed; Journal article, 2022)Efficient skin cancer detection using images is a challenging task in the healthcare domain. In today’s medical practices, skin cancer detection is a time-consuming procedure that may lead to a patient’s death in later ... -
Efficient Trajectory Clustering with Road Network Constraints Based on Spatiotemporal Buffering
(Peer reviewed; Journal article, 2023)The analysis of individuals’ movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems. Recent advances in information and ... -
Empirical Study of Day-Ahead Electricity Spot-Price Forecasting: Insights into a Novel Loss Function for Training Neural Networks
(Peer reviewed; Journal article, 2022)Within deregulated economies, large electricity volumes are traded in daily spot markets, which are highly volatile. To develop profitable trading strategies, all stakeholders must be empowered with robust forecasting ... -
Emulation solution for development and validation of warehouse automation
(Master thesis, 2018)Emulators and simulators are considered to be essential software units that support the engineering team throughout the cycle of development and facilitate robot design, algorithm testing, fault analyses and full-scale ... -
Encoding and Visualizing Temporal Changes of Topology Density Maps
(Master thesis, 2022)Spatiotemporal urban data analysis is one of the most relevant and challenging topics in the computer graphics and information visualization research areas. This master project introduces a novel solution, named Temporal ... -
Energy optimization of parallel programs in a heterogeneous system by combining processor core-shutdown and dynamic voltage scaling
(Journal article; Peer reviewed, 2019)Reducing power consumption and improving efficiency are important aspects of the development of supercomputers into large-scale systems. As a result, heterogeneous systems have become an important development trend in ... -
Enhanced concept-level sentiment analysis system with expanded ontological relations for efficient classification of user reviews
(Journal article; Peer reviewed, 2021) -
Enhanced fuzzy system for student's academic evaluation using linguistic hedges
(Journal article; Peer reviewed, 2017)In this study, the effect of concentration, intensification and dilation of three common linguistic hedges (LHs), namely, very, indeed, and more or less on the performance of a fuzzy system for evaluating student's academic ... -
Enhancing Photovoltaic Efficiency with the Optimized Steepest Gradient Method and Serial Multi-Cellular Converters
(Peer reviewed; Journal article, 2023)Many methods have been developed to aid in achieving the maximum power point (MPP) generated by PV fields in order to improve photovoltaic (PV) production. The optimized steepest gradient technique (OSGM), which is used ... -
Enhancing SSP creation using sspgen
(Chapter, 2022)The System Structure and Parameterization (SSP) standard is a tool independent standard to define complete systems consisting of one or more components, including its parameterization, that can be transferred between ... -
Enterprise modeling practice in a turnaround project
(Chapter, 2012) -
Evaluating the data visualization for demanding marine operations
(Chapter, 2017)Complexity and specificity of monitoring sensor data from marine operations brought a majority of challenges of how to evaluate the visualizations of such sensor data. It's urgently needed to develop and implement new ... -
Evaluation heuristics for tug fleet optimisation algorithms: a computational simulation study of a receding horizon genetic algorithm
(Chapter, 2015)A fleet of tugs along the northern Norwegian coast must be dynamically positioned to minimise the risk of oil tanker drifting accidents. We have previously presented a receding horizon genetic algorithm (RHGA) for solving ... -
Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience
(Journal article; Peer reviewed, 2019)The similar nature of patterns may enhance the learning if the experience they attained during training is utilized to achieve maximum accuracy. This paper presents a novel way to exploit the transfer learning experience ...