Outputs (224)

Lattice-Based Public Key Cryptosystem for Internet of Things Environment: Challenges and Solutions (2018)
Journal Article
Chaudhary, R., Aujla, G. S., Kumar, N., & Zeadally, S. (2019). Lattice-Based Public Key Cryptosystem for Internet of Things Environment: Challenges and Solutions. IEEE Internet of Things Journal, 6(3), 4897 - 4909. https://doi.org/10.1109/jiot.2018.2878707

Due to its widespread popularity and usage in many applications (smart transport, energy management, e-healthcare, smart ecosystem, and so on), the Internet of Things (IoT) has become popular among end users over the last few years. However, with an... Read More about Lattice-Based Public Key Cryptosystem for Internet of Things Environment: Challenges and Solutions.

Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations (2018)
Journal Article
Kärnä, T., Kramer, S. C., Mitchell, L., Ham, D. A., Piggott, M. D., & Baptista, A. M. (2018). Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations. Geoscientific Model Development, 11(11), 4359-4382. https://doi.org/10.5194/gmd-11-4359-2018

Unstructured grid ocean models are advantageous for simulating the coastal ocean and river–estuary–plume systems. However, unstructured grid models tend to be diffusive and/or computationally expensive, which limits their applicability to real-life p... Read More about Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations.

Can Learner Characteristics Predict Their Behaviour on MOOCs? (2018)
Presentation / Conference Contribution
Cristea, A. I., Alamri, A., Alshehri, M., Kayama, M., Foss, J., Shi, L., & Stewart, C. D. (2018, December). Can Learner Characteristics Predict Their Behaviour on MOOCs?. Presented at 10th International Conference on Education Technology and Computers - ICETC '18, Tokyo

Stereotyping is the first type of adaptation in education ever proposed. However, the early systems have never dealt with the numbers of learners that current MOOCs provide. Thus, the umbrella question that this work tackles is if learner characteris... Read More about Can Learner Characteristics Predict Their Behaviour on MOOCs?.

On the influence of affect in EEG-based subject identification (2018)
Journal Article
Arnau-González, P., Arevalillo-Herráez, M., Katsigiannis, S., & Ramzan, N. (2021). On the influence of affect in EEG-based subject identification. IEEE Transactions on Affective Computing, 12(2), 391-401. https://doi.org/10.1109/taffc.2018.2877986

A Bayesian framework for assessing the strength distribution of composite structures with random defects (2018)
Journal Article
Sandhu, A., Reinarz, A., & Dodwell, T. (2018). A Bayesian framework for assessing the strength distribution of composite structures with random defects. Composite Structures, 205, 58-68. https://doi.org/10.1016/j.compstruct.2018.08.074

This paper presents a novel stochastic framework to quantify the knock down in strength from out-of-plane wrinkles at the coupon level. The key innovation is a Markov Chain Monte Carlo algorithm which rigorously derives the stochastic distribution of... Read More about A Bayesian framework for assessing the strength distribution of composite structures with random defects.

On the Impact of Illumination-Invariant Image Pre-transformation on Contemporary Automotive Semantic Scene Understanding (2018)
Presentation / Conference Contribution
Alshammari, N., Akcay, S., & Breckon, T. (2018, June). On the Impact of Illumination-Invariant Image Pre-transformation on Contemporary Automotive Semantic Scene Understanding. Presented at 29th IEEE Intelligent Vehicles Symposium (IEEE IV 2018)., Changshu, Suzhou, China

Illumination changes in outdoor environments under non-ideal weather conditions have a negative impact on automotive scene understanding and segmentation performance. In this paper, we present an evaluation of illuminationinvariant image transforms a... Read More about On the Impact of Illumination-Invariant Image Pre-transformation on Contemporary Automotive Semantic Scene Understanding.

In-depth Exploration of Engagement Patterns in MOOCs (2018)
Presentation / Conference Contribution
Lei, S., & Cristea, A. (2018, December). In-depth Exploration of Engagement Patterns in MOOCs. Presented at Web Information Systems Engineering (WISE 2018), Dubai

With the advent of ‘big data’, various new methods have been proposed, to explore data in several domains. In the domain of learning (and e-learning, in particular), the outcomes lag somewhat behind. This is not unexpected, as e-learning has the addi... Read More about In-depth Exploration of Engagement Patterns in MOOCs.

When can graph hyperbolicity be computed in linear time? (2018)
Journal Article
Fluschnik, T., Komusiewicz, C., Mertzios, G., Nichterlein, A., Niedermeier, R., & Talmon, N. (2019). When can graph hyperbolicity be computed in linear time?. Algorithmica, 81(5), 2016-2045. https://doi.org/10.1007/s00453-018-0522-6

Hyperbolicity is a distance-based measure of how close a given graph is to being a tree. Due to its relevance in modeling real-world networks, hyperbolicity has seen intensive research over the last years. Unfortunately, the best known algorithms use... Read More about When can graph hyperbolicity be computed in linear time?.

Critical vertices and edges in H-free graphs (2018)
Journal Article
Paulusma, D., Picouleau, C., & Ries, B. (2019). Critical vertices and edges in H-free graphs. Discrete Applied Mathematics, 257, 361-367. https://doi.org/10.1016/j.dam.2018.08.016

A vertex or edge in a graph is critical if its deletion reduces the chromatic number of the graph by one. We consider the problems of deciding whether a graph has a critical vertex or edge, respectively. We give a complexity dichotomy for both proble... Read More about Critical vertices and edges in H-free graphs.

The multiscale bowler-hat transform for blood vessel enhancement in retinal images (2018)
Journal Article
Sazak, C., Nelson, C. J., & Obara, B. (2019). The multiscale bowler-hat transform for blood vessel enhancement in retinal images. Pattern Recognition, 88, 739-750. https://doi.org/10.1016/j.patcog.2018.10.011

Enhancement, followed by segmentation, quantification and modelling of blood vessels in retinal images plays an essential role in computer-aided retinopathy diagnosis. In this paper, we introduce the bowler-hat transform method a new approach based o... Read More about The multiscale bowler-hat transform for blood vessel enhancement in retinal images.