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A Measure of Structural Complexity of Hierarchical Fuzzy Systems Adapted from Software Engineering (2019)
Conference Proceeding
Razak, T. R., Garibaldi, J. M., & Wagner, C. (2019). A Measure of Structural Complexity of Hierarchical Fuzzy Systems Adapted from Software Engineering. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ( 1-7). https://doi.org/10.1109/FUZZ-IEEE.2019.8859011

Hierarchical fuzzy systems (HFSs) have been seen as an effective approach to reduce the complexity of fuzzy logic systems (FLSs), largely as a result of reducing the number of rules. However, it is not clear completely how complexity of HFSs can be m... Read More about A Measure of Structural Complexity of Hierarchical Fuzzy Systems Adapted from Software Engineering.

Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks (2019)
Conference Proceeding
Huynh, V. S. H., & Radenkovic, M. (2019). Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks. In Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems (34-45). https://doi.org/10.5220/0008167900340045

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)
Conference Proceeding
Ramamoorthy, V. T., Özcan, E., Parkes, A. J., Luc, J., & Bécot, F. (2019). Metaheuristic optimisation of sound absorption performance of multilayered porous materials. In Proceedings of the ICA 2019 and EAA Euroregio 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019 9 - 13 September 2019, Aachen, Germany (3213-3220)

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.

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., Yeh, H., …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.