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Leading the game, losing the competition: identifying leaders and followers in a repeated game
(Journal article; Peer reviewed, 2016)We explore a new method for identifying leaders and followers, LF, in repeated games by analyzing an experimental, repeated (50 rounds) game where Row player shifts the payoff between small and large values – a type of ... -
Learning Analytics for Inclusive Higher Education
(28th International Conference on Computers in Education;Workshop Proceedings Volume II, Conference object, 2020-11-23)Learning analytics is gaining attention and increasingly being adopted in higher educational institutions. Research have shown that learning analytics is promising in addressing high priority issues in education such as ... -
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information
(The International FLAIRS Conference Proceedings;Vol. 35 (2022): Proceedings of FLAIRS-35, Peer reviewed; Journal article, 2022-05-04)This paper deals with the problem of solving stochastic games (which have numerous business and economic applications), using the interesting tools of Learning Automata (LA), the precursors to Reinforcement Learning (RL). ... -
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, ... -
Learning in Higher Education Under the Covid-19 Pandemic: Were Students More Engaged or Less?
(International Journal of English Linguistics;volume 11, issue 3, Peer reviewed; Journal article, 2021-05-17)This study explored students’ learning experiences in higher education during the Covid-19 pandemic. A journal writing methodology was used to extract learners’ reflective thoughts regarding their living and learning during ... -
Lévy Flight Model of Gaze Trajectories to Assist in ADHD Diagnoses
(Peer reviewed; Journal article, 2024)Theprecisemathematicaldescriptionofgazepatternsremainsatopicofongoingdebate, impacting the practical analysis of eye-tracking data. In this context, we present evidence supporting the appropriateness of a Lévy flight ... -
Liaison invariants and the Hilbert scheme of codimension 2 subschemes in P^{n+2}
(Progress in Mathematics;Vol. 280, Chapter; Peer reviewed, 2010)In this paper we study the Hilbert scheme, Hilb(P), of equidimensional locally Cohen-Macaulay codimension 2 subschemes, with a special look to surfaces in P^4 and 3-folds in P^5, and the Hilbert scheme stratification H_c ... -
LiDAR-Based Obstacle Detection and Distance Estimation in Navigation Assistance for Visually Impaired
(Lecture Notes in Computer Science;Volume 13309, Conference object, 2022-06-16)People with visual impairments can face challenges with independent navigation and therefore may use traditional aids such as guide dogs, white canes, or a travel companion for navigation assistance. In recent years, ... -
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
(Lecture Notes in Computer Science;Volume 12606, Conference object, 2021-02-21)Deep Neural Networks (DNNs) have become the de-facto standard in computer vision, as well as in many other pattern recognition tasks. A key drawback of DNNs is that the training phase can be very computationally expensive. ... -
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring
(Peer reviewed; Journal article, 2023)Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). ... -
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
(Lecture Notes in Computer Science (LNCS);, Chapter; Peer reviewed; Conference object; Journal article, 2023)Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). ... -
Literature review writing as a learner-centric process by beginner-level research students: How effective are rubrics for assessing students’ writing?
(European Journal of English Language and Literature Studies;Vol 9, Issue 4, 2021, Peer reviewed; Journal article, 2021)Developing academic writing skills is an essential part of most advanced-level degrees. Writing can help a student identify structure within a complex domain, organise thoughts, and communicate ideas. This study explores ... -
Locality-Aware Workflow Orchestration for Big Data
(MEDES: Management of Emergent Digital EcoSystems;MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems, Conference object, 2021-11-09)The development of the Edge computing paradigm shifts data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructure. Such a paradigm requires data processing solutions that ... -
Lost in OCR-Translation: Pixel-based Text Reflow to the Rescue: Magnification of Archival Raster Image Documents in the Browser without Horizontal Scrolling
(ETRA: Pervasive Technologies Related to Assistive Environments;PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments, Conference object, 2022-07-11)Low-vision users have been accustomed to viewing accessible electronic documents with reflow and responsive layouts that adapt to the user’s text size requirements. However, mainstream technologies do not work optimally ... -
Machine learning based assessment of preclinical health questionnaires
(Peer reviewed; Journal article, 2023)Background: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients’ health has increased significantly over the years. The source of this data could be mobile ... -
Machine Learning Models for Predicting Disability and Pain Following Lumbar Disc Herniation Surgery
(Peer reviewed; Journal article, 2024)Importance: Lumber disc herniation surgery can reduce pain and disability. However, a sizable minority of individuals experience minimal benefit, necessitating the development of accurate prediction models. Objective: ... -
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
(Scientific Reports;9, Article number: 16770 (2019), Journal article; Peer reviewed, 2019-10-24)Methods for automatic analysis of clinical data are usually targeted towards a specific modality and do not make use of all relevant data available. In the field of male human reproduction, clinical and biological data are ... -
A Machine Learning-based Tool for Passive OS Fingerprinting with TCP Variant as a Novel Feature
(IEEE Internet of Things Journal;Volume: 8, Issue: 5, Peer reviewed; Journal article, 2020-09-15)With the emergence of Internet of Things (IoT), securing and managing large, complex enterprise network infrastructure requires capturing and analyzing network traffic traces in real-time. An accurate passive Operating ... -
Making context the central concept in privacy engineering
(Research and Practice in Technology Enhanced Learning (RPTL);15:21, Journal article; Peer reviewed, 2020-10-19)There is a gap between people’s online sharing of personal data and their concerns about privacy. Till now, this gap is addressed by attempting to match individual privacy preferences with service providers’ options for ... -
Making Learning Materials Accessible in Higher Education-Attitudes Among Technology Faculty Members
(Studies in Health Technology and Informatics;Volume 256: Transforming our World Through Design, Diversity and Education, Journal article; Peer reviewed, 2018)With the increasing popularity of digital technologies, more and more digital learning materials are available in education. However, making digital learning materials accessible to diverse students can be a challenging ...