Browsing Scientific Publications in Information and Communication Technology by Title
Now showing items 614-633 of 697
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Synthesis of Lower-Body Human Walking using Trigonometric Spline Method
(Peer reviewed; Journal article, 2022)In this work, preliminary results of human motion synthesis are presented. Specifically, a single stride motion (consisting of two steps) of a human lower-body model is obtained. The optimal control problem was reformulated ... -
A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction
(Peer reviewed; Journal article, 2023)Computed tomography (CT) is used in a wide range of medical imaging diagnoses. However, the reconstruction of CT images from raw projection data is inherently complex and is subject to artifacts and noise, which compromises ... -
Systematic literature review of E-learning capabilities to enhance organizational learning
(Peer reviewed; Journal article, 2021)E-learning systems are receiving ever increasing attention in academia, business and public administration. Major crises, like the pandemic, highlight the tremendous importance of the appropriate development of e-learning ... -
A systematic literature review on cyberstalking. An analysis of past achievements and future promises
(Journal article; Peer reviewed, 2020)Individuals’ excessive use of technology-enabled communication platforms, such as social media, has led to scholarly recognition of rising incidences of cyberstalking. Despite considerable studies directed at its examination, ... -
A task execution scheme for dew computing with state-of-the-art smartphones
(Peer reviewed; Journal article, 2021) -
Teaching computer language handling - From compiler theory to meta-modelling
(Lecture Notes in Computer Science;6491, Chapter; Peer reviewed, 2011)Most universities teach computer language handling by mainly focussing on compiler theory, although MDA (model-driven architecture) and meta-modelling are increasingly important in the software industry as well as in ... -
Technology Innovation and Big Data for Humanitarian Operations
(Journal article, 2016) -
Tension in the data environment: How organisations can meet the challenge
(Peer reviewed; Journal article, 2021)Big Data is becoming ubiquitous - widely applied across organisations, industry sectors and society. However, the opportunities and risks it presents are not yet fully understood. In this paper we identify and explore the ... -
Testing Equality of Multiple Power Spectral Density Matrices
(Journal article; Peer reviewed, 2018)This paper studies the existence of optimal invariant detectors for determining whether P multivariate processes have the same power spectral density. This problem finds application in multiple fields, including physical ... -
Text Classification Using Novel “Anti-Bayesian” Techniques
(Chapter; Peer reviewed, 2015) -
Text Classification Using “Anti”-Bayesian Quantile Statistics-Based Classifiers
(Peer reviewed; Journal article, 2016)The problem of Text Classification (TC) has been studied for decades, and this problem is particularly interesting because the features are derived from syntactic or semantic indicators, while the classification, in and ... -
The bayesian pursuit algorithm: A new family of estimator learning automata
(Lecture Notes in Computer Science;6704, Chapter; Peer reviewed, 2011)The fastest Learning Automata (LA) algorithms currently available come from the family of estimator algorithms. The Pursuit algorithm (PST), a pioneering scheme in the estimator family, obtains its superior learning speed ... -
The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality
(Peer reviewed; Journal article, 2016)The fundamental phenomenon that has been used to enhance the convergence speed of learning automata (LA) is that of incorporating the running maximum likelihood (ML) estimates of the action reward probabilities into the ... -
The Dreaming Variational Autoencoder for Reinforcement Learning Environments
(Journal article; Peer reviewed, 2018)Reinforcement learning has shown great potential in generalizing over raw sensory data using only a single neural network for value optimization. There are several challenges in the current state-of-the-art reinforcement ... -
The EU project “United4Health”: Results and experiences from automatic health status assessment in a Norwegian telemedicine trial system
(Journal article; Peer reviewed, 2017)Introduction Patients with chronic obstructive pulmonary disease require help in daily life situations to increase their individual perception of security, especially under worsened medical conditions. Unnecessary hospital ... -
The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria
(Journal article; Peer reviewed, 2013)The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature ... -
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions
(Chapter; Peer reviewed, 2018) -
The Impact of Human Walking on the Time-Frequency Distribution of In-Home Radio Channels
(Chapter; Peer reviewed, 2018) -
The impact of shadowing and the severity of fading on the first and second order statistics of the capacity of OSTBC MIMO Nakagami-lognormal channels
(Journal article; Peer reviewed, 2011)This article presents a thorough statistical analysis of the capacity of orthogonal space-time block coded (OSTBC) multiple-input multiple-output (MIMO) Nakagami- lognormal (NLN) channels. The NLN channel model allows to ...