Blar i Faculty of Engineering and Science på tittel
Viser treff 41-60 av 3203
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A Global Perspective on Microplastic Concentrations and Characteristics in Sediment and Biota in Marine Coastal Areas
(Master thesis, 2023)Microplastic (MP, < 5 mm) has become an omnipresent environmental pollutant due to inappropriate management since the invention of plastic during the 1800s. MPs are now detected in all environmental matrices, with marine ... -
A hierarchical learning scheme for solving the Stochastic Point Location problem
(Lecture Notes in Computer Science;7345, Chapter; Peer reviewed, 2012)This paper deals with the Stochastic-Point Location (SPL) problem. It presents a solution which is novel in both philosophy and strategy to all the reported related learning algorithms. The SPL problem concerns the task ... -
A Highly Flexible Trajectory Model Based on the Primitives of Brownian Fields---Part II: Analysis of the Statistical Properties
(Peer reviewed; Journal article, 2016) -
A knowledge-based master model approach exemplified with jet engine structural design
(Journal article; Peer reviewed, 2017) -
A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids
(Journal article; Peer reviewed, 2017)In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, ... -
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 estimation by Machine Learning (ML), point ... -
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 ...