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Distance Estimation Methods for Smartphone-Based Navigation Support Systems
(Lecture Notes in Networks and Systems;295, Conference object, 2021-08-03)Distance estimation is a key element of a navigation system. Various methods and instruments are used in distance estimation procedures. The methods and instruments used usually depend on the contexts of the application ... -
Distinction between sequential and direct ionization in two-photon double ionization of helium
(Physical Review A. Atomic, Molecular, and Optical Physics;90, Journal article; Peer reviewed, 2014-11-10)This paper aims to shed some light on the role of the direct, or nonsequential, ionization channel in the regime in which the sequential channel is open in two-photon double ionization (TPDI) of helium. In this regime the ... -
Distributed Learning Automata-based S-learning scheme for classification
(Pattern Analysis and Applications;Published online 12 October 2019, Journal article; Peer reviewed, 2019-09-10)This paper proposes a novel classifier based on the theory of Learning Automata (LA), reckoned to as PolyLA. The essence of our scheme is to search for a separator in the feature space by imposing an LA-based random walk ... -
Distributed learning automata-based scheme for classification using novel pursuit scheme
(Applied intelligenc;volume 50, issue 7, Peer reviewed; Journal article, 2020-03-02)Learning Automata (LA) is a popular decision making mechanism to “determine the optimal action out of a set of allowable actions” (Agache and Oommen, IEEE Trans Syst Man Cybern-Part B Cybern 2002(6): 738–749, 2002). The ... -
DivergentNets: Medical Image Segmentation by Network Ensemble
(CEUR Workshop Proceedings;Vol-2886 - Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021), Conference object, 2021)Detection of colon polyps has become a trending topic in the intersecting fields of machine learning and gastrointestinal endoscopy. The focus has mainly been on per-frame classification. More recently, polyp segmentation ... -
Do Code Smells Impact the Effort of Different Maintenance Programming Activities?
(Chapter; Peer reviewed; Chapter, 2016)Empirical studies have shown so far that code smells have relatively low impact over maintenance effort at file level. We surmise that previous studies have found low effects of code smells because the effort considered ... -
Do Norwegian academics who publish more earn higher salaries?
(Scientometrics;Volume 115, Issue 1, Journal article; Peer reviewed, 2018-01-21)Based on a sense of justice one may expect that productive academics with high publication outputs earn higher salaries than less productive academics. However, there is little evidence to support or reject such a belief. ... -
Does Clicker Use Improve Exam Scores? A Controlled Randomized Experiment in a Bachelor-Level Course in Software Engineering
(Journal article, 2015)This paper reports a study of clicker use within an undergraduate course in Operating Systems. It is based on a controlled, randomized experiment with a crossover design that measures learning outcomes by means of test ... -
DoS and DDoS mitigation using Variational Autoencoders
(Computer Networks;Volume 199, 9 November 2021, 108399, Peer reviewed; Journal article, 2021-09-01)DoS and DDoS attacks have been growing in size and number over the last decade and existing solutions to mitigate these attacks are largely inefficient. Compared to other types of malicious cyber attacks, DoS and DDoS ... -
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
(IEEE International Symposium on Computer-Based Medical Systems; 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), Conference object, 2020-09-01)Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. An encoder-decoder based approach, like U-Net and its variants, is a popular strategy for solving medical image ... -
Drawing Abrasive Hologram Animations with Auto-Generated Scratch Patterns
(Chapter; Peer reviewed, 2017)Abrasive holograms allow people to experiment with impressive quasi-holography and create hologram artwork through simple means of creating reflective scratches on sheets of plastic. Most of the reported accounts of abrasive ... -
A dynamic and scalable parallel Network Intrusion Detection System using intelligent rule ordering and Network Function Virtualization
(Future generations computer systems;Volume 124, November 2021, Peer reviewed; Journal article, 2021-06-12)A Network Intrusion Detection System (NIDS) is a fundamental security tool. However, under heavy network traffic, a NIDS might become a bottleneck. In an overloaded state, incoming and outgoing packets in the network might ... -
Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm
(Peer reviewed; Chapter, 2016)Designing and implementing efficient firewall strategies in the age of the Internet of Things (IoT) is far from trivial. This is because, as time proceeds, an increasing number of devices will be connected, accessed and ... -
The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata
(Conference object, 2021)Reservoir Computing with Cellular Automata (ReCA) is a promising concept by virtue of its potential for efficient hardware implementation and theoretical understanding of Cellular Auotmata (CA). However, ReCA has so far ... -
Early functional changes associated with alpha-synuclein proteinopathy in engineered human neural networks
(American Journal of Physiology - Cell Physiology;, Peer reviewed; Journal article, 2021-06-18)A patterned spread of proteinopathy represents a common characteristic of many neurodegenerative diseases. In Parkinson’s disease (PD), misfolded forms of alpha-synuclein proteins accumulate in hallmark pathological ... -
Early Labour App: Developing a practice-based mobile health application for digital early labour support
(Peer reviewed; Journal article, 2023)Background: Pregnant women in early labour have felt excluded from professional care, and their partners have been restricted from being involved in the birthing process. Expectant parents must be better prepared to deal ... -
Edge information based image fusion metrics using fractional order differentiation and sigmoidal functions
(IEEE Access;Volume: 8, Journal article; Peer reviewed, 2020)In recent years, the number of image fusion schemes presented by the research community has increased significantly. Measuring the performance of these schemes is an important issue. In this work, we introduce three ... -
EEG-based affect classification with machine learning algorithms
(Chapter, 2023)In this paper, we aim to study the EEG-based emotion recognition problem. First, we use clustering algorithm to determine the target class of emotions and perform binary classification of emotion along its arousal and ... -
Effect of Added Mass Location on Manual Wheelchair Propulsion Forces
(Advances in Intelligent Systems and Computing;1026, Chapter; Peer reviewed, 2020-08-14)This study investigated the influence of mass distribution on the handrim forces during manual propulsion in four different mobility tasks: straightforward motion at self-selected speed; straightforward sprint; zero radius ... -
The Effect of Dyslexia on Searching Visual and Textual Content: Are Icons Really Useful?
(Lecture Notes in Computer Science;9177, Journal article; Peer reviewed, 2015-07-18)Little is known about how dyslexia affects online information seeking. This study addresses the search performance of 21 users with dyslexia and 21 controls in textual versus visual displays. The aim was to investigate ...