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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 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 ... -
Space and depth-related enhancements of the history-ADS strategy in game playing
(Chapter; Peer reviewed, 2015) -
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 ... -
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 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 ... -
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) -
Statistical Modeling and Analysis of Mobile-to-Mobile Fading Channels in Cooperative Networks Under Line-of-Sight Conditions
(Journal article; Peer reviewed, 2010)Recently, mobile-to-mobile (M2M) cooperative network technology has gained considerable attention for its promise of enhanced system performance with increased mobility support. As this is a new research field, little is ... -
Statistical modeling, simulation, and experimental verification of wideband indoor mobile radio channel
(Journal article; Peer reviewed, 2018) -
Statistical properties of the capacity of double Nakagami-m channels
(Chapter; Peer reviewed, 2010)In this article, we have presented an extensive statistical analysis of the capacity of double1 Nakagami-m channels. The double Nakagami-m channel model has applications in keyhole channels and amplify-and-forward relay ... -
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments
(Journal article; Peer reviewed, 2016) -
Stochastic Graph Filtering Under Asymmetric Links in Wireless Sensor Networks
(Chapter; Peer reviewed, 2018)Wireless sensor networks (WSN s) are often characterized by random and asymmetric packet losses due to the wireless medium, leading to network topologies that can be modeled as random, time-varying and directed graphs. ... -
A study of the influence of shadowing on the statistical properties of the capacity of mobile radio channels
(Journal article; Peer reviewed, 2009)This paper studies the influence of shadowing on the statistical properties of the channel capacity. The problem is addressed by using a Suzuki process as an appropriate statistical channel model for land mobile terrestrial ... -
Supporting fine-grained generative model-driven evolution
(Journal article; Peer reviewed, 2010)In the standard generative Model-driven Architecture (MDA), adapting the models of an existing system requires re-generation and restarting of that system. This is due to a strong separation between the modeling environment ...