Blar i Institutt for IKT og realfag på tittel
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Non-technical Loss Detection in Power Grid Using Information Retrieval approaches: A Comparative Study
(Peer reviewed; Journal article, 2021)Non-technical loss (NTL) detection is a persistent challenge for Distribution System Operators. Data-driven solutions have been widely used nowadays to analyze customers’ energy consumption and to identify suspicious fraud ... -
Nonlinear Model Predictive Growth Control of a Class of Plant-Inspired Soft Growing Robots
(Peer reviewed; Journal article, 2020)Recently, researchers have shown an increased interest in considering plants as a model of inspiration for designing new robot locomotions. Growing robots, that imitate the biological growth presented by plants, have proved ... -
A novel binary Kepler optimization algorithm for 0–1 knapsack problems: Methods and applications
(Peer reviewed; Journal article, 2023) -
A Novel Ensemble Representation Framework for Sentiment Classification
(Chapter, 2020)Text representation has a critical impact on the accuracy of text classifiers which is imperative to be strengthened. On the other hand, the question of how the state-of-the-art embeddings outperform previous approaches ... -
A Novel Method for Anomaly Detection and Signal Calibration in Water Quality Monitoring of an Urban Water Supply System
(Journal article; Peer reviewed, 2024)Water quality monitoring plays a crucial role in urban water supply systems for the production of safe drinking water. However, the traditional approach to water monitoring in Norway relies on a periodic (weekly/biweekly/monthly) ... -
A novel method for performance measurement of public educational institutions using machine learning models
(Peer reviewed; Journal article, 2021)Lack of education is a major concern in underdeveloped countries because it leads to poor human and economic development. The level of education in public institutions varies across all regions around the globe. Current ... -
A novel person re-identification network to address low-resolution problem in smart city context
(Peer reviewed; Journal article, 2023)We argue that accurate person re-identification is a vital problem for urban public monitoring systems in the smart city context. Since images captured from different cameras have arbitrary resolutions resulting in resolution ... -
A numerical framework for estimating the effective reproduction number of infectious diseases from compartmental epidemic models
(Peer reviewed; Journal article, 2021)We present a numerical framework for estimating the effective reproduction number of infectious diseases from compartmental epidemic models. The idea is to augment the reproduction number as an extended state variable in ... -
Obfuscation in digital fingerprinting
(Journal article; Peer reviewed, 2017)Digital fingerprinting has been much studied in the literature for more than 20 years, motivated by applications in copyright protection. A popular and practical approach is to use spread spectrum watermarking to embed ... -
Objektdeteksjon i punktskyer
(Bachelor thesis, 2024)Denne rapporten bygger på utfordringen med å registrere 3D-modeller i punktskyer fra et 3D-kamera, med fokus på hvordan man nøyaktig kan identifisere og plassere disse modellene. Prosjektet går ut på å utvikle et testrammeverk ... -
Objektdeteksjon med YOLOv8 og LiDAR for maritim sikkerhet
(Bachelor thesis, 2024)Denne avhandlingen handler om å integrere et Ouster Lidarsystem på en Otter USV. Ved å kombinere Otterens smidighet med Lidarens avanserte sensorteknologi, gir man Otteren muligheten til å detektere objekter. Vårt fokus ... -
Observations and Reflections on Teaching Electrical and Computer Engineering Courses
(Chapter, 2018)In this article, we make a number of observations and reflections based on our experience from many years of teaching courses in electrical and computer engineering bachelor programmes. We present important aspects of ... -
OceanRoads: Fishing area separation and relation discovery through VMS trace analysis
(Chapter, 2017)Vessel Monitoring Systems (VMS) provide trajectory data of fishing vessels to discover the spatial-temporal pattern of fishing activities. Although previous researches exhibit the fishing resource distribution in space and ... -
Om å kartleggja mørk materie med maskinlæring
(Peer reviewed; Journal article, 2023) -
On Cyber-Attacks Against Wind Farms
(Chapter, 2023)The issue of cyber-attacks against wind farm sensor systems is the focus of this research. A novel method for detecting and estimating the magnitude of such attacks using a discrete-time adaptive observer is presented. The ... -
On Demand Waste Collection for Smart Cities: A Case Study
(Chapter, 2022)The neat and clean surrounding is the main driving force for any city to be called a smart city. In order to address current societal and business challenges, the objective is to provide a solution to enable collection-on-demand ... -
On Modeling Eavesdropping Attacs in Underwater Acoustic Sensor Networks
(Journal article; Peer reviewed, 2016)The security and privacy of underwater acoustic sensor networks has received extensive attention recently due to the proliferation of underwater activities. This paper proposes an analytical model to investigate the ... -
On performance analysis of protective jamming schemes in wireless sensor networks
(Peer reviewed; Journal article, 2016)Wireless sensor networks (WSNs) play an important role in Cyber Physical Social Sensing (CPSS) systems. An eavesdropping attack is one of the most serious threats to WSNs since it is a prerequisite for other malicious ... -
On the development of laboratory projects in modern engineering education
(Journal article; Peer reviewed, 2019)Whilst a solid theoretical foundation is important in any undergraduate engineering program, practical exercises and educational laboratories play an equally vital role in educating knowledgeable and skillful engineers ... -
On the Dynamics and Feasibility of Transferred Inference for Diagnosis of Invasive Ductal Carcinoma: A Perspective
(Peer reviewed; Journal article, 2022)It is generally noticed that increasing the number of convolutional layers in generic image classification procedures proves to be detrimental to model performance in terms of validation accuracy and loss. Apart from vanilla ...