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On Using Novel "Anti-Bayesian" Techniques for the Classification of Dynamical Data Streams
(Chapter; Peer reviewed, 2017)The classification of dynamical data streams is among the most complex problems encountered in classification. This is, firstly, because the distribution of the data streams is non-stationary, and it changes without any ... -
On utilizing weak estimators to achieve the online classification of data streams
(Engineering Applications of Artificial Intelligence;Volume 86, November 2019, Journal article; Peer reviewed, 2019-09-02)Classification, typically, deals with unique and distinct training and testing phases. This paper pioneers the concept when these phases are not so clearly well-defined. More specifically, we consider the case where the ... -
On utilizing weak estimators to achieve the online classification of data streams
(Engineering Applications of Artificial Intelligence;Volume 86, November 2019, Journal article; Peer reviewed, 2019-09-02)Classification, typically, deals with unique and distinct training and testing phases. This paper pioneers the concept when these phases are not so clearly well-defined. More specifically, we consider the case where the ... -
Online MCQ - formative or summative assessment? : experiences from a higher educational environment
(Chapter; Peer reviewed, 2010)Within the field of Higher Education there has been a growing interest in formative assessment. A range of online tools for multiple choice questions (MCQ) are often made available to academic staff, but the extent and ... -
Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships
(IEEE Access;Volume 9, 2021, Peer reviewed; Journal article, 2021-02-24)This study deals with fault tree analysis algorithms based on an ontology-based approach in a fuzzy environment. We extend fuzzy fault tree analysis by embedding ontology-based fault tree structures. The ontology-based ... -
Open database analysis of scaling and spatio-temporal properties of power grid frequencies
(Peer reviewed; Journal article, 2020)The electrical energy system has attracted much attention from an increasingly diverse research community. Many theoretical predictions have been made, from scaling laws of fluctuations to propagation velocities of ... -
Open Problems in Fuzzing RESTful APIs: A Comparison of Tools
(Peer reviewed; Journal article, 2023)RESTful APIs are a type of web service that are widely used in industry. In the past few years, a lot of effort in the research community has been spent in designing novel techniques to automatically fuzz those APIs to ... -
Operator Performance Prediction based on Fuzzy Modeling Approach
(IFAC-PapersOnLine;Volume 53, Issue 2, 2020, Peer reviewed; Journal article, 2021-04-14)In this paper, physiological signals were measured from five participants, each participating in two sessions of experiment with identical experimental procedure. A simulation platform, AutoCAMS (Automation-enhanced Cabin ... -
Optimizing 5G VPN+ Transport Networks with Vector Packet Processing and FPGA Cryptographic Offloading
(Lecture Notes in Computer Science;Volume 12814, Conference object, 2021-08-16)Network slicing is the crucial prerogative that allows end users and industries to thrive from 5G infrastructures, however, such a logical network component can deteriorate from security vulnerabilities that prevail within ... -
Optimizing Power and Energy Efficiency in Cloud Computing
(MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems;, Conference object, 2019)With the exponential growth in cloud computing, the steadily increasing amount of power consumption due to the use of physical and virtual machines is becoming a serious challenge. In this context, we report a study on ... -
Orchestrating Resource Allocation for Interactivevs. Batch Services using a Hybrid Controller
(Chapter; Peer reviewed, 2017)Cloud service providers are trying to reduce their operating costs while offering their services with a higher quality via resorting to the concept of elasticity. However, the vast majority of related work focuses solely ... -
Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data
(CEUR Workshop Proceedings;Volume 2696, Journal article; Peer reviewed, 2020)For the LMRT task at ImageCLEFlifelog 2020, LIFER 3.0, a new version of the LIFER system with improvements in the user in- terface and system affordance, is used and evaluated via feedback from a user experiment. In addition, ... -
An overview of artificial intelligence used in malware
(Chapter; Conference object, 2023)Artificial intelligence (AI) and machine learning (ML) methods are increasingly adopted in cyberattacks. AI supports the establishment of covert channels, as well as the obfuscation of malware. Additionally, AI results in ... -
Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog
(CEUR Workshop Proceedings;Volume 2696, Journal article; Peer reviewed, 2020)This paper describes the fourth edition of Lifelog challenges in ImageCLEF 2020. In this edition, the Lifelog challenges consist of two tasks which are Lifelog Moments Retrieval (LMRT) and Sport Per- formance Lifelog (SPLL). ... -
PanoramaGrid – A Graph Paper Tracing Framework for Sketching 360-degree Immersed Experiences
(Chapter; Peer reviewed, 2016)A novel framework that allows designers without 3D-modelling experience to draw three-dimensional panoramic sketches by hand with the help of a support lines is proposed. Sketches are viewed with panoramic ... -
PARAFAC2 AO-ADMM: Constraints in all modes
(European Signal Processing Conference;2021 29th European Signal Processing Conference (EUSIPCO), Conference object, 2021-12-08)The PARAFAC2 model provides a flexible alternative to the popular CANDECOMP/PARAFAC (CP) model for tensor decompositions. Unlike CP, PARAFAC2 allows factor matrices in one mode (i.e., evolving mode) to change across tensor ... -
A parallel approach for detecting OpenFlow rule anomalies based on a general formalism
(Concurrency and Computation;, Journal article; Peer reviewed, 2020-06-28)As the policies of a software-defined networking (SDN) network can be updated dynamically and often at a high pace, conflicts between policies can easily occur. Due to the large number of switches and heterogeneous policies ... -
Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator
(Applied Intelligence;Volume 48, Issue 11, Journal article; Peer reviewed, 2018-05-25)Many real-life dynamical systems experience abrupt changes followed by almost stationary periods. In this paper, we consider streams of data exhibiting such abrupt behavior and investigate the problem of tracking their ... -
The Parthasarathy formula and a spectral triple for the quantum Lagrangian Grassmannian of rank two
(Letters in Mathematical Physics;August 2019, Volume 109, Issue 8, Journal article; Peer reviewed, 2019-02-05)Background and objective: The long-term psychosocial outcome of young adults after paediatric liver transplantation (LT) was investigated with the focus on day-to-day living. We aimed to capture patients’ subjective ... -
Peekaboo: Learning-Based Multipath Scheduling for Dynamic Heterogeneous Environments
(IEEE Journal on Selected Areas in Communications;Volume: 38, Issue: 10, Journal article; Peer reviewed, 2020-06-08)Multipath transport protocols utilize multiple network paths (e.g., WiFi and cellular) to achieve improved performance and reliability, compared with their single-path counterparts. The scheduler of a multipath transport ...