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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 ... -
The impact of spatial correlation on the statistical properties of the capacity of Nakagami-m channels with MRC and EGC
(Journal article; Peer reviewed, 2011)In this article, we have studied the statistical properties of the instantaneous channel capacitya of spatially correlated Nakagami-m channels for two different diversity combining methods, namely maximal ratio combining ... -
The Science and Art of Chaotic Pattern Recognition
(Chapter; Peer reviewed, 2016) -
The Technology Use and Information Flow at a Municipal Telemedicine Service
(Journal article; Peer reviewed, 2018)Health care services face challenges with providing individualised treatment to an ageing population prone to chronic conditions and multi-morbidities. The research project Patients and Professionals in Productive Teams ... -
Thompson sampling guided stochastic searching on the line for deceptive environments with applications to root-finding problems
(Peer reviewed; Journal article, 2019) -
Throughput and delay analysis of HARQ with code combining over double Rayleigh fading channels
(Journal article; Peer reviewed, 2018) -
Throughput and energy efficiency comparison of one-hop, two-hop, virtual relay and cooperative retransmission schemes
(Chapter; Peer reviewed, 2010)Two main types of approaches exist for implementing cooperative communications at the MAC layer: virtual-hop relay and cooperative retransmission. While the virtual-hop relay schemes employ relay nodes to forward packets ... -
Topology Design to Increase Network Lifetime in WSN for Graph Filtering in Consensus Processes
(European Signal Processing Conference (EUSIPCO);25 2017, Journal article; Peer reviewed, 2017)Graph filters, which are considered as the workhorses of graph signal analysis in the emerging field of signal processing on graphs, are useful for many applications such as distributed estimation in wireless sensor networks. ... -
Topology design to reduce energy consumption of distributed graph filtering in WSN
(Chapter; Peer reviewed, 2017)The large number of nodes forming current sensor networks has made essential to introduce distributed mechanisms in many traditional applications. In the emerging field of graph signal processing, the distributed mechanism ... -
Torus Topology based Fault-Tolerant Network-on-Chip Design with Flexible Spare Core Placement
(Chapter; Peer reviewed, 2018) -
Towards a cyber-physical era: soft computing framework based multi-sensor array for water quality monitoring
(Journal article; Peer reviewed, 2018) -
Towards an integrated approach to emergency management: interdisciplinary challenges for research and practice
(Journal article; Peer reviewed, 2015)This article presents an interdisciplinary vision for large-scale integrated emergency management that has been inspired by the transition from platform centric to inte-grated operations in the oil and gas fields, which ... -
Towards Improved Healthcare Performance: Examining Technological Possibilities and Patient Satisfaction with Wireless Body Area Networks
(Journal article; Peer reviewed, 2010)This paper investigates the benefits of using less intrusive wireless technologies for heart monitoring. By replacing well established heart monitoring devices (i.e. Holter) with wireless ECG based Body Area Networks (BAN), ...