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Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks (2019)
Presentation / Conference Contribution
Huynh, V. S. H., & Radenkovic, M. (2019, September). Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks. Presented at 9th International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2019), Vienna, Austria

Applications and services hosted in the mobile edge/fog networks today (e.g., augmented reality, self-driving, and various cognitive applications) may suffer from limited network coverage and localized congestion due to dynamic mobility of users and... Read More about Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks.

Metaheuristic optimisation of sound absorption performance of multilayered porous materials (2019)
Presentation / Conference Contribution
Ramamoorthy, V. T., Özcan, E., Parkes, A. J., Luc, J., & Bécot, F.-X. (2019, September). Metaheuristic optimisation of sound absorption performance of multilayered porous materials. Presented at 23rd International Congress on Acoustics (ICA 2019), Aachen, Germany

The optimization of multilayered-sound-packaging is a challenging task which involves searching the best/op-timal settings for a number of acoustic parameters. The search space size becomes too large to handle by brute force, as the number of those p... Read More about Metaheuristic optimisation of sound absorption performance of multilayered porous materials.

Probing IoT-based consumer services: 'insights' from the connected shower (2019)
Journal Article
Crabtree, A., Hyland, L., Colley, J., Flintham, M., Fischer, J. E., & Kwon, H. (2020). Probing IoT-based consumer services: 'insights' from the connected shower. Personal and Ubiquitous Computing, 24, 595–611. https://doi.org/10.1007/s00779-019-01303-3

This paper presents findings from the deployment of a technology probe-the connected shower-and implications for the development of 'living services' or autonomous context-aware consumer-oriented IoT services that exploit sensing to gain consumer 'in... Read More about Probing IoT-based consumer services: 'insights' from the connected shower.

Application of a MILP-based Algorithm for Power Flow Optimisation within More-Electric Aircraft Electrical Power Systems (2019)
Presentation / Conference Contribution
Wang, X., Atkin, J., Bozhko, S., & Hill, C. (2019, September). Application of a MILP-based Algorithm for Power Flow Optimisation within More-Electric Aircraft Electrical Power Systems. Presented at 2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe), Genova, Italy

This paper presents in detail how Mixed-Integer Linear Programming (MILP) can be used to solve the optimal power flow problem of Electrical Power Systems (EPSs) within More-Electric Aircraft (MEA). Continuous linear functions, integer variables and p... Read More about Application of a MILP-based Algorithm for Power Flow Optimisation within More-Electric Aircraft Electrical Power Systems.

An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions (2019)
Journal Article
Hameed, N., Hameed, F., Shabut, A., Khan, S., Cirstea, S., & Hossain, A. (2019). An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions. Computers, 8(3), Article 62. https://doi.org/10.3390/computers8030062

Skin diseases cases are increasing on a daily basis and are dicult to handle due to the global imbalance between skin disease patients and dermatologists. Skin diseases are among the top 5 leading cause of the worldwide disease burden. To reduce thi... Read More about An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions.

Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data (2019)
Journal Article
Maillo, J., García, S., Luengo, J., Herrera, F., & Triguero, I. (2020). Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data. IEEE Transactions on Fuzzy Systems, 28(5), 874-886. https://doi.org/10.1109/TFUZZ.2019.2936356

One of the best-known and most effective methods in supervised classification is the k nearest neighbors algorithm (kNN). Several approaches have been proposed to improve its accuracy, where fuzzy approaches prove to be among the most successful, hig... Read More about Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data.

Multi-Scale Topological Analysis of Asymmetric Tensor Fields on Surfaces (2019)
Journal Article
Khan, F., Roy, L., Zhang, E., Qu, B., Hung, S.-H., Yeh, H., Laramee, R. S., & Zhang, Y. (2020). Multi-Scale Topological Analysis of Asymmetric Tensor Fields on Surfaces. IEEE Transactions on Visualization and Computer Graphics, 26(1), 270 - 279. https://doi.org/10.1109/tvcg.2019.2934314

Asymmetric tensor fields have found applications in many science and engineering domains, such as fluid dynamics. Recent advances in the visualization and analysis of 2D asymmetric tensor fields focus on pointwise analysis of the tensor field and eff... Read More about Multi-Scale Topological Analysis of Asymmetric Tensor Fields on Surfaces.