Blar i Faculty of Engineering and Science på tittel
Viser treff 1946-1965 av 3222
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Mooring Analysis of a Dual-Spar Floating Wind Farm With a Shared Line
(Journal article; Peer reviewed, 2021) -
More than experience? - On the unique opportunities of virtual reality to afford a holistic experiential learning cycle
(Peer reviewed; Journal article, 2021)Virtual reality has been proposed as a promising technology for higher education since the combination of immersive and interactive features enables experiential learning. However, previous studies did not distinguish ... -
Motion Control of Hydraulic Winch Using Variable Displacement Motors
(Doctoral Dissertations at the University of Agder; no. 305, Doctoral thesis, 2020)To compete in the open market of the offshore crane industry, it is imperative for the manufacturer to continuously improve crane operability. In this context, the crane operability is expressed by means of a so-called ... -
Motion control with optimal nonlinear damping: from theory to experiment
(Peer reviewed; Journal article, 2022)Optimal nonlinear damping control was recently introduced for the second-order SISO systems, showing some advantages over a classical PD feedback controller. This paper summarizes the main theoretical developments and ... -
Motion-Control Techniques of Today and Tomorrow: A Review and Discussion of the Challenges of Controlled Motion
(Peer reviewed; Journal article, 2020)The paper states that continued progress in integrated mechatronic design and novel actuator technologies has created new challenges for motion control technologies. -
Motivasjon i matematikk hos elever som benytter «Den Virtuelle Matematikkskolen» : en aksjonsforskning der målet er å heve motivasjonen i matematikk hos tre elever i ungdomsskolen.
(Master thesis, 2016)The title of this study is “Motivation in mathematics among students using Den Virtuelle Matematikkskolen, translated The virtual school of mathematics. The goal of this study was to increase motivation in mathematics among ... -
Motivasjon ved bruk av digitale verktøy : Hvordan kan bruk av digitale verktøy påvirke motivasjonen til elevene i matematikk?
(Master thesis, 2017)The theme for this master study is motivation related to the use of digital tools. In this thesis, motivation is about what motives lie behind the pupils’ behaviour, and what influences the pupils to act a certain way The ... -
Movement diversity and partial sympatry of coastal and Northeast Arctic cod ecotypes at high latitudes
(Peer reviewed; Journal article, 2023)Movement diversity within species represent an important but often neglected, component of biodiversity that affects ecological and genetic interactions, as well as the productivity of exploited systems. By combining ... -
Movement patterns of temperate wrasses (Labridae) within a small marine protected area
(Journal article; Peer reviewed, 2021) -
Movement patterns of temperate wrasses (Labridae) within a small marine protected area
(Peer reviewed; Journal article, 2021) -
Moving enterprise resource planning (ERP) systems to the cloud: the challenge of infrastructural embeddedness
(Peer reviewed; Journal article, 2020)Cloud enterprise resource planning (ERP) solutions allow organizations to support and coordinate key business processes by leveraging virtualization. Nevertheless, moving ERPs to the cloud is not straightforward, and ... -
MR damper hysteresis characterization for the semi-active suspension system
(Master thesis, 2011)This thesis presents the nonlinear MR brake to a semi active suspension system (e.g. of a vehicle suspension). Semi-active control has recently received considerable attention in some years, because its strong potential ... -
A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model
(Peer reviewed; Journal article, 2023)Financial data are a type of historical time series data that provide a large amount of information that is frequently employed in data analysis tasks. The question of how to forecast stock prices continues to be a topic ... -
Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series
(Peer reviewed; Journal article, 2023)In the industry, machinery failure causes catastrophic accidents and destructive damage to the machines. It causes the machinery to stop and reduces production, causing financial losses to the industry. As a result, ... -
Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes
(Peer reviewed; Journal article, 2010)Linear dimensionality reduction (LDR) techniques have been increasingly important in pattern recognition (PR) due to the fact that they permit a relatively simple mapping of the problem onto a lower-dimensional subspace, ... -
Multi-Class Stress Detection Through Heart Rate Variability: A Deep Neural Network Based Study
(Peer reviewed; Journal article, 2023)Stress is a natural human reaction to demands or pressure, usually when perceived as harmful or/and toxic. When stress becomes constantly overwhelmed and prolonged, it increases the risk of mental health and physiological ... -
Multi-Cloud Information Security Policy Development
(Master thesis, 2023)Organizations’ ever lasting desire to utilize new trending technologies for optimizing their businesses have been increasing by the years. Cloud computing has been around for a while, and for many became a vital part of ... -
Multi-Cloud Information Security Policy Development
(Master thesis, 2023)Organizations’ ever lasting desire to utilize new trending technologies for optimizing their businesses have been increasing by the years. Cloud computing has been around for a while, and for many became a vital part of ... -
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
(Journal article; Peer reviewed, 2019)Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works ... -
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
(Peer reviewed; Journal article, 2019)Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works ...