Browsing Faculty of Engineering and Science by Title
Now showing items 47-66 of 3203
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A Machine Learning and Point Cloud Processing based Approach for Object Detection and Pose Estimation: Design, Implementation, and Validation
(Master thesis, 2022)This thesis presents an automatic forklift approach for lifting and handling pallets. The project more specifically develops a solution for autonomous object detection and pose es- timation by Machine Learning (ML), point ... -
A Machine Learning Approach to Predict Accidents using Real Spatiotemporal Road Data
(Master thesis, 2019)Konfidensiell til / confidential until 01.07.2024 -
A Machine Learning based Prediction Model for Bursty Traffic in 5G mMTC Networks
(Master thesis, 2019)The rapid growth in popularity for the Internet of Things (IoT) has paved the way for a newtype of communication, called Machine-type Communication (MTC), causing substantially in-creased traffic volume. The existing network ... -
A mahalanobis hyperellipsoidal learning machine class incremental learning algorithm
(Journal article; Peer reviewed, 2014)A Mahalanobis hyperellipsoidal learning machine class incremental learning algorithm is proposed. To each class sample, the hyperellipsoidal that encloses as many as possible and pushes the outlier samples away is trained ... -
A mixed 0-1 linear programming approach to the computation of all pure-strategy nash equilibria of a finite n -person game in normal form
(Journal article; Peer reviewed, 2014)A main concern in applications of game theory is how to effectively select a Nash equilibrium, especially a pure-strategy Nash equilibrium for a finite n -person game in normal form. This selection process often requires ... -
A model to analyse algebraic tasks solved by students : a comparative study from Finland and Norway
(Master thesis, 2013)Participating in the international VIDEOMAT-project, which is accomplished by four universities from Finland, Norway, Sweden and California (USA), this master thesis has beenbased on a comparative study about the introduction ... -
A mutual GrabCut method to solve co-segmentation
(Journal article; Peer reviewed, 2013)Co-segmentation aims at segmenting common objects from a group of images. Markov random field (MRF) has been widely used to solve co-segmentation, which introduces a global constraint to make the foreground similar to each ... -
A new frontier in novelty detection : Pattern recognition of stochastically episodic events
(Lecture Notes in Computer Science; no. 6591, Chapter; Peer reviewed, 2011)A particularly challenging class of PR problems in which the, generally required, representative set of data drawn from the second class is unavailable, has recently received much consideration under the guise of One-Class ... -
A new paradigm for pattern classification: Nearest Border Techniques
(Lecture Notes in Computer Science;8272, Chapter; Peer reviewed, 2013)There are many paradigms for pattern classification. As opposed to these, this paper introduces a paradigm that has not been reported in the literature earlier, which we shall refer to as the Nearest Border (NB) paradigm. ... -
A new population of terrestrial gamma-ray flashes in the RHESSI data
(Journal article; Peer reviewed, 2015) -
A new tool for the assessment of the development of students' mathematical competencies
(Chapter; Peer reviewed, 2018) -
A Non-Isovelocity Geometry-Based Underwater Acoustic Channel Model
(Journal article; Peer reviewed, 2017) -
A Non-Stationary Channel Model for the Development of Non-Wearable Radio Fall Detection Systems
(Journal article; Peer reviewed, 2018)The emerging non-wearable fall detection systems rely on processing radio waves reflected off the body of the home user who has no active interaction with the system, increasing the user privacy and acceptability. This ... -
A Non-Stationary Mobile-to-Mobile Channel Model Allowing for Velocity and Trajectory Variations of the Mobile Stations
(Journal article; Peer reviewed, 2017) -
A Non-Stationary Mobile-to-Mobile Channel Model Allowing for Velocity and Trajectory Variations of the Mobile Stations
(Journal article; Peer reviewed, 2017)In mobile-to-mobile (M2M) communication systems, both the transmitter and the receiver are moving with a certain velocity, which is usually assumed to be constant over time. However, in realistic propagation scenarios, the ... -
A non-WSSUS mobile-to-mobile channel model assuming velocity variations of the mobile stations
(Journal article; Peer reviewed, 2017)This paper aims to characterize the effects that the velocity variations of the mobile stations (MSs) produce on the correlation properties of non-stationary time-frequency (TF) dispersive mobile- to-mobile (M2M) fading ... -
A novel abstraction for swarm intelligence: particle field optimization
(Peer reviewed; Journal article, 2016)Particle swarm optimization (PSO) is a popular meta-heuristic for black-box optimization. In essence, within this paradigm, the system is fully defined by a swarm of “particles” each characterized by a set of features such ... -
A novel active contour model for unsupervised low-key image segmentation
(Journal article; Peer reviewed, 2013)Unsupervised image segmentation is greatly useful in many vision-based applications. In this paper, we aim at the unsupervised low-key image segmentation. In low-key images, dark tone dominates the background, and gray ... -
A novel Border Identification algorithm based on an “Anti-Bayesian” paradigm
(Lecture Notes in Computer Science;8047, Chapter; Peer reviewed, 2013)Border Identification (BI) algorithms, a subset of Prototype Reduction Schemes (PRS) aim to reduce the number of training vectors so that the reduced set (the border set) contains only those patterns which lie near the ...