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Playing Axis & Allies Revised Using Learning Automata
(Master thesis, 2009)The Artficial Intelligence (AI) of opponents in computer games in general, and in strategy games in particular, have been plagued with performance problems of many kinds since they first appeared. Not the least of these ... -
Playing endgame chess with the Tsetlin Machine
(Master thesis, 2020)The report is about training an Artificial Intelligence(AI) that is able to play out endgames, using the existing solved endgame of chess to train the Tsetlin Machine on. This report describes the methods used to ... -
Playing the game of Hex with theTsetlin Machine and tree search
(Master thesis, 2020)Hex is an abstract mathematical board game where the players aim to build a connection of pieces, traversing the board from edge to edge. The game requires the use of certain patterns to be played ... -
PMG-pro: a model-driven development method of service-based applications
(Lecture Notes in Computer Science;7083, Chapter; Peer reviewed, 2012)In the Internet of Things, billions of networked and software-driven devices will be connected to the Internet. They can communicate and cooperate with each other to form a composite system. In this paper, we propose PMG-pro ... -
Point of Care Solutions: Implementation of Sustainable Service Models
(Journal article; Peer reviewed, 2018) -
PolyACO+: a multi-level polygon-based ant colony optimisation classifier
(Journal article; Peer reviewed, 2017)Ant Colony Optimisation for classification has mostly been limited to rule based approaches where artificial ants walk on datasets in order to extract rules from the trends in the data, and hybrid approaches which attempt ... -
Portal og profilmodeller
(Master thesis, 2001)En webportal kan sammenfattes som en innretning som benyttes til å lokalisere alt av tjenester og informasjon en bestemt bruker trenger for å utføre sine gjøremål. Det kan også forklares som en innfallsport til webtilgang, ... -
Position technologies for internet connected mobile terminals, offering location based audio services
(Master thesis, 2007)The company Infotain wishes to offer location based audio guiding at museums. They wish that this audio is going to be available through the visitor’s mobile phone. However, to be able to offer location based audio guiding ... -
Possible use of RFID technology in support of construction logistics
(Master thesis, 2004)Radio Frequency Identification (RFID) is a relatively old technology that has gained enormous popularity in the later years, as more and more areas of business see it as a possible technology with which to improve their ... -
Post-Quantum Secure Identity-Based Encryption Scheme using Random Integer Lattices for IoT-enabled AI Applications
(Peer reviewed; Journal article, 2022)Identity-based encryption is an important cryptographic system that is employed to ensure confidentiality of a message in communication. This article presents a provably secure identity based encryption based on post quantum ... -
Potential AI Strategies to Solve the Commons Game : A Position Paper
(Lecture Notes in Computer Science; no. 6085, Journal article; Peer reviewed, 2010)In this paper, we propose the use of hill climbing and particle swarm optimization to find strategies in order to play the Commons Game (CG). The game, which is a non-trivial N-person non-zero-sum game, presents a simple ... -
Power allocation in multi-channel cognitive radio networks with channel assembling
(Chapter; Peer reviewed, 2011)Consider power allocation for Secondary User (SU) packet transmissions over multiple channels with variable Primary User (PU) arrival rates in cognitive radio networks. Two problems are studied in this paper: The first one ... -
Power consumption analysis for mobile stations in hybrid relay-assisted wireless networks
(Chapter; Peer reviewed, 2010)While Internet access using mobile or wireless technologies has become ubiquitous these days, the energy consumption aspect of such connections has not been studied in-depth yet. In this paper, a hybrid wireless network, ... -
Preamble Reservation Based Access for Grouped mMTC Devices with URLLC Requirements
(Journal article; Peer reviewed, 2019)Ultra-reliable low latency communication (URLLC) and massive machine type communications (mMTC) are two of the three major technological pillars in 5G. For medium access in mMTC scenarios, e.g., smart cities, a major ... -
Preamble Transmission Prediction for mMTC Bursty Traffic : A Machine Learning based Approach
(Journal article; Peer reviewed, 2020) -
Predicting Electrical Power Consumption on Yearly Events for Substations: Algorithm Design and Performance Evaluations
(Master thesis, 2020)Accurate prediction of electricity usage is critical for grid companies in or-der to ensure reliable power supply for their customers. Many factors in-fluence usage patterns, but generally they consist of yearly-, ... -
Prediction of Electricity Usage Using Convolutional Neural Networks
(Master thesis, 2017)Convolutional Neural Networks are overwhelmingly accurate when attempting to predict numbers using the famous MNIST-dataset. In this paper, we are attempting to transcend these results for time- series forecasting, and ... -
Preoperative anemia and iron deficiency screening, evaluation and management : Barrier identification and implementation strategy mapping
(Journal article; Peer reviewed, 2020) -
Priority Enabled Grant-Free Access With Dynamic Slot Allocation for Heterogeneous mMTC Traffic in 5G NR Networks
(Peer reviewed; Journal article, 2021)Although grant-based mechanisms have been a predominant approach for wireless access for years, the additional latency required for initial handshake message exchange and the extra control overhead for packet transmissions ... -
Priority-based initial access for URLLC traffic in massive IoT networks: Schemes and performance analysis
(Peer reviewed; Journal article, 2020)At a density of one million devices per square kilometer, the10’s of billions of devices, objects, and machines that form a massive Internet of things (mIoT) require ubiquitous connectivity. Among a massive number of IoT ...