Browsing Department of Information and Communication Technology by Title
Now showing items 1074-1093 of 1283
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Solving Multiconstraint Assignment Problems Using Learning Automata
(Journal article; Peer reviewed, 2010)This paper considers the NP-hard problem of object assignment with respect to multiple constraints: assigning a set of elements (or objects) into mutually exclusive classes (or groups), where the elements which are ... -
Solving Non-Stationary Bandit Problems by Random Sampling from Sibling Kalman Filters
(Lecture Notes in Computer Science ; 6098, Chapter; Peer reviewed, 2010)The multi-armed bandit problem is a classical optimization problem where an agent sequentially pulls one of multiple arms attached to a gambling machine, with each pull resulting in a random reward. The reward distributions ... -
Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata.
(Journal article; Peer reviewed, 2010)In a multitude of real-world situations, resources must be allocated based on incomplete and noisy information. However, in many cases, incomplete and noisy information render traditional resource allocation techniques ... -
Solving Stochastic Root-Finding with adaptive d-ary search
(Chapter; Peer reviewed, 2015) -
Solving the boolean satisfiability problem using multilevel techniques
(Master thesis, 2011)There are many complex problems in computer science that occur in knowledge-representation (artificial thinking), artificial learning, Very Large Scale Integration (VLSI) design, security protocols and other areas. These ... -
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers
(Journal article; Peer reviewed, 2021)Learning automata (LA) with artificially absorbing barriers was a completely new horizon of research in the 1980s (Oommen, 1986). These new machines yielded properties that were previously unknown. More recently, absorbing ... -
Sorterius - An augmented reality app for encouraging outdoor physical activity for people with intellectual disabilities
(Peer reviewed; Journal article, 2022)Many with intellectual disabilities (ID) have difficulties adhering to current physical activity guidelines. The goal of this study was to develop a mobile app for assisting people with ID to be more physically active. We ... -
Source Code Auto Completion with different approaches: Text Classification, N-Gram Models, Long Short-Term Memory
(Master thesis, 2022)Et gjennomgang av 2 ulike Source Code Auto Completion metoder med Text Classification og N-Gram Modeller. I tillegg et forsøk på implementasjon av Long Short-Term Memory for Auto Completion med Python. -
Space and depth-related enhancements of the history-ADS strategy in game playing
(Chapter; Peer reviewed, 2015) -
Spam classification for online discussions
(Master thesis, 2010)Traditionally, spam messages filtering systems are built by integrating content-based analysis technologies which are developed from the experiences of dealing with E-mail spam. Recently, the new style of information appears ... -
Sparse Online Learning with Kernels using Random Features for Estimating Nonlinear Dynamic Graphs
(Peer reviewed; Journal article, 2023)Online topology estimation of graph-connected time series is challenging in practice, particularly because the dependencies between the time series in many real-world scenarios are nonlinear. To address this challenge, we ... -
A spatial role-based authorization framework for sensor network-assisted indoor WLANs
(Chapter; Peer reviewed, 2009)In this paper, we propose a spatial role-based authorization framework which specifies authorization based on both role and location constrains in a wireless local area network with assistance from a sensor network. The ... -
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter
(Peer reviewed; Journal article, 2023)The Compact Muon Solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the Large Hadron Collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and ... -
Spectrogram Analysis of Non-Stationary RSE-to-Car Channels Behaviour for Braking Situations
(Master thesis, 2017)Car-to-car (C2C) and car-to-infrastructure (C2I) communications promise revolutionary improvements in transportation due to its possibilities to improve the road safety and tra c management. C2C is a system designed to ... -
Spectrum cartography techniques, challenges, opportunities, and applications: A survey
(Peer reviewed; Journal article, 2021)The spectrum cartography finds applications in several areas such as cognitive radios, spectrum aware communications, machine-type communications, Internet of Things, connected vehicles, wireless sensor networks, and radio ... -
Spectrum Cartography using Adaptive Multi-kernels – Experimental validation
(Master thesis, 2017) -
Spectrum cartography using adaptive radial basis functions: Experimental validation
(EEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);18, Journal article; Peer reviewed, 2017)In this paper, we experimentally validate the functionality of a developed algorithm for spectrum cartography using adaptive Gaussian radial basis functions (RBF). The RBF are strategically centered around representative ... -
Sporing av kjøretøy med maskin-til-maskin kommunikasjon basert på GPS og GSM/GPRS
(Master thesis, 2003)Maskin-til-maskin (M2M) kommunikasjon mellom mobile, flyttbare eller stasjonære enheter er forventet å øke eksponentielt i de kommende årene. Mulighetene for M2M kommunikasjon er mange, enheter kan bli brukt til fjernkontroll, ... -
The state of information infrastructure for global climate governance
(Peer reviewed; Journal article, 2022)Purpose The world is facing global challenges that require international collaboration. This study aims to describe and analyze how digital technologies are applied in global governance to respond to such critical challenges. ... -
Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death
(Journal article; Peer reviewed, 2020)