Blar i Department of Information and Communication Technology på tittel
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A framework for assessing the condition of crowds exposed to a fire hazard using a probabilistic model
(Journal article; Peer reviewed, 2014)Allocating limited resources in an optimal manner when rescuing victims from a hazard is a complex and error prone task, because the involved hazards are typically evolving over time; stagnating, building up or diminishing. ... -
A Framework for Improving Intrusion Detection Systems by Combining Artificial Intelligence and Situational Awareness
(Master thesis, 2022)The vast majority of companies do not have the requisite tools and analysis to make use of the data obtained from security incidents in order to protect themselves from attacks and lower their risk. Intrusion Detection ... -
A Framework for Improving Intrusion Detection Systems by Combining Artificial Intelligence and Situational Awareness
(Master thesis, 2022)The vast majority of companies do not have the requisite tools and analysis to make use of the data obtained from security incidents in order to protect themselves from attacks and lower their risk. Intrusion Detection ... -
A general framework for group authentication and key exchange protocols
(Lecture Notes in Computer Science;8352, Chapter; Peer reviewed, 2014)In this paper, we propose a novel framework for group authentication and key exchange protocols. There are three main advantages of our framework. First, it is a general one, where different cryptographic primitives can ... -
A Generative Adversarial Approach for Packet Manipulation Detection
(Master thesis, 2018)Over the years, machine learning has been used together with intrusion detection systems to protect networks against different threats. The evolution of machine learning has exploded and there are new types of of machine ... -
A geometrical three-ring-based model for MIMO mobile-to-mobile fading channels in cooperative networks
(Journal article; Peer reviewed, 2011)This paper deals with the modeling and analysis of narrowband multiple-input multiple-output (MIMO) mobile-to-mobile (M2M) fading channels in relay-based cooperative networks. In the transmission links from the source ... -
A Geometry-Based Underwater Acoustic Channel Model Allowing for Sloped Ocean Bottom Conditions
(Journal article; Peer reviewed, 2017) -
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 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 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 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 ...