Blar i Faculty of Engineering and Science på tittel
Viser treff 27-46 av 3194
-
A fast Logdet divergence based metric learning algorithm for large data sets classification
(Journal article; Peer reviewed, 2014)Large data sets classification is widely used in many industrial applications. It is a challenging task to classify large data sets efficiently, accurately, and robustly, as large data sets always contain numerous instances ... -
A filtering algorithm for maneuvering target tracking based on smoothing spline fitting
(Journal article; Peer reviewed, 2014)Maneuvering target tracking is a challenge. Target's sudden speed or direction changing would make the common filtering tracker divergence. To improve the accuracy of maneuvering target tracking, we propose a tracking ... -
A formal proof of the e-optimality of discretized pursuit algorithms
(Journal article; Peer reviewed, 2015) -
A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions
(Journal article; Peer reviewed, 2014)The most difficult part in the design and analysis of Learning Automata (LA) consists of the formal proofs of their convergence accuracies. The mathematical techniques used for the different families (Fixed Structure, ... -
A Framework for Activity Monitoring and Fall Detection Based on the Characteristics of Indoor Channels
(Journal article; Peer reviewed, 2018)This paper concerns the Doppler power spectrum of three-dimensional non-stationary indoor fixed-to- fixed channels with moving people. In this paper, we model each moving person as a moving scatterer with time-variant (TV) ... -
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 frequency compensation algorithm of four-wheel coherence random road
(Journal article; Peer reviewed, 2013)The road surface roughness is the main source of kinematic excitation of a moving vehicle, which has an important influence on vehicle performance. In recent decades, random road models have been widely studied, and a ... -
A fuzzy logic approach to modeling a vehicle crash test
(Journal article; Peer reviewed, 2012)This paper presents an application of fuzzy approach to vehicle crash modeling. A typical vehicle to pole collision is described and kinematics of a car involved in this type of crash event is thoroughly characterized. The ... -
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 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 ...