Blar i Faculty of Engineering and Science på tittel
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On the timing between terrestrial gamma ray flashes, radio atmospherics, and optical lightning emission
(Journal article; Peer reviewed, 2017)On 25 October 2012 the Reuven Ramaty High Energy Solar Spectroscope Imager (RHESSI) and the Tropical Rainfall Measuring Mission (TRMM) satellites passed over a thunderstorm on the coast of Sri Lanka. RHESSI observed a ... -
On the use of Denoising Autoencoders and Deep Convolutional Adversarial Networks for Automated Removal of Date Stamps
(Master thesis, 2019)This thesis investigates to what extent the deep learning models such as DenoisingAutoencoder (DAE) and Deep Convolution General Adversarial Net (DCGAN)automate the removal of the date stamps from images with high resolution ... -
On the Variability of the Temperature Coefficients of mc-Si Solar Cells with Irradiance
(Journal article; Peer reviewed, 2016) -
On using "Stochastic learning on the line" to design novel distance estimation methods
(Journal article; Peer reviewed, 2018) -
On Using Novel "Anti-Bayesian" Techniques for the Classification of Dynamical Data Streams
(Chapter; Peer reviewed, 2017) -
On using prototype reduction schemes to optimize locally linear reconstruction methods
(Journal article; Peer reviewed, 2012)This paper concerns the use of prototype reduction schemes (PRS) to optimize the computations involved in typical k-nearest neighbor (k-NN) rules. These rules have been successfully used for decades in statistical pattern ... -
On using the theory of regular functions to prove the ε-Optimality of the Continuous Pursuit Learning Automaton
(Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)There are various families of Learning Automata (LA) such as Fixed Structure, Variable Structure, Discretized etc. Informally, if the environment is stationary, their ε-optimality is defined as their ability to converge ... -
On utilizing an enhanced object partitioning scheme to optimize self-organizing lists-on-lists
(Journal article; Peer reviewed, 2020) -
On Utilizing Association and Interaction Concepts for Enhancing Microaggregation in Secure Statistical Databases
(Journal article; Peer reviewed, 2010)This paper presents a possibly pioneering endeavor to tackle the microaggregation techniques (MATs) in secure statistical databases by resorting to the principles of associative neural networks (NNs). The prior art has ... -
On utilizing dependence-based information to enhance micro-aggregation for secure statistical databases
(Journal article; Peer reviewed, 2013)We consider the micro-aggregation problem which involves partitioning a set of individual records in a micro-data file into a number of mutually exclusive and exhaustive groups. This problem, which seeks for the best ... -
On utilizing weak estimators to achieve the online classification of data streams
(Journal article; Peer reviewed, 2019) -
On-Line Oil Condition Monitoring for Marine Gearboxes : This thesis addresses the importance of oil condition monitoring in marine reduction gearboxes and compares the sensitivity and usage of three different sensors, each with its own working principle
(Master thesis, 2020)Failures in marine reduction gearboxes lead to substantial costs. With the use of oil condition moni-toring, these failures can be foreseen so that preemptive measures can be taken. The development ofoil condition monitoring ... -
On-the-Fly Establishment of Multi-hop D2D Communication based on Android Smartphones and Embedded Platforms: Implementation and Real-Life Experiments
(Master thesis, 2015)(Konfidensiell til/confidential until 01.07.2020) -
Online Calibration Of Multiple Lidars
(Master thesis, 2022) -
Online Condition Monitoring of Electric Powertrains using Machine Learning and Data Fusion
(Doctoral Dissertations at the University of Agder; no. 270, Doctoral thesis, 2020)Safe and reliable operations of industrial machines are highly prioritized in industry. Typical industrial machines are complex systems, including electric motors, gearboxes and loads. A fault in critical industrial machines ... -
Online Deflection Compensation of a Flexible Hydraulic Loader Crane Using Neural Networks and Pressure Feedback
(Journal article; Peer reviewed, 2022) -
Online dimensional control of rolled steel profiles using projected fringes
(Journal article; Peer reviewed, 2020) -
Online failure prediction in UNIX systems
(Master thesis, 2011)This thesis investigates the possibility of enhancing an existing performance monitoring system for UNIX servers, by adding the capability of predicting upcoming failures, using generic UNIX operating system performance ... -
Online Hyperparameter Search Interleaved with Proximal Parameter Updates
(Chapter, 2020)There is a clear need for efficient hyperparameter optimization (HO) algorithms for statistical learning, since commonly applied search methods (such as grid search with N-fold cross-validation) are inefficient and/or ... -
Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs
(Journal article; Peer reviewed, 2022)Extracting causal graph structures from multivariate time series, termed topology identification, is a fundamental problem in network science with several important applications. Topology identification is a challenging ...