Outputs (126)

A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification (2018)
Journal Article
Jan, S. U., & Koo, I. (2018). A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification. Journal of Sensors, 2018, Article 7467418. https://doi.org/10.1155/2018/7467418

The efficiency of a binary support vector machine- (SVM-) based classifier depends on the combination and the number of input features extracted from raw signals. Sometimes, a combination of individual good features does not perform well in discrimin... Read More about A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification.

Selection methods and diversity preservation in many-objective evolutionary algorithms (2018)
Journal Article
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (2018). Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technologies and Applications, https://doi.org/10.1108/dta-01-2018-0009

Purpose – One of the main components of multi-objective, and therefore, many-objective evolutionary algorithms is the selection mechanism. It is responsible for performing two main tasks simultaneously. First, it has to promote convergence by selecti... Read More about Selection methods and diversity preservation in many-objective evolutionary algorithms.

Virtualizing the real: a virtual reality contemporary sculpture park for children (2018)
Journal Article
Flint, T., Hall, L., Stewart, F., & Hagan, D. (2018). Virtualizing the real: a virtual reality contemporary sculpture park for children. Digital Creativity, 29(2/3), 191-207. https://doi.org/10.1080/14626268.2018.1511601

This paper discusses a virtual reality experience for a contemporary sculpture park, Jupiter Artland, developed in Minecraft targeting 9-11-year-old children. Issues of fidelity, realism and authenticity are considered, examining the use of Minecraft... Read More about Virtualizing the real: a virtual reality contemporary sculpture park for children.

Architecture of the Mouse Brain Synaptome (2018)
Journal Article
Zhu, F., Cizeron, M., Qiu, Z., Benavides-Piccione, R., Kopanitsa, M. V., Skene, N. G., …Grant, S. G. (2018). Architecture of the Mouse Brain Synaptome. Neuron, 99(4), 781-799.e10. https://doi.org/10.1016/j.neuron.2018.07.007

Synapses are found in vast numbers in the brain and contain complex proteomes. We developed genetic labeling and imaging methods to examine synaptic proteins in individual excitatory synapses across all regions of the mouse brain. Synapse catalogs we... Read More about Architecture of the Mouse Brain Synaptome.

A Novel Adaptive and Efficient Routing Update Scheme for Low-Power Lossy Networks in IoT (2018)
Journal Article
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Romdhani, I., Nasser, Y., & Boukerche, A. (2018). A Novel Adaptive and Efficient Routing Update Scheme for Low-Power Lossy Networks in IoT. IEEE Internet of Things Journal, 5(6), 12. https://doi.org/10.1109/JIOT.201

In this paper, we introduce Drizzle, a new algorithm for maintaining routing information in the Low-power and Lossy Networks (LLNs). The aim is to address the limitations of the currently standardized routing maintenance (i.e. Trickle algorithm) in s... Read More about A Novel Adaptive and Efficient Routing Update Scheme for Low-Power Lossy Networks in IoT.

Creating Real-Time Aeroacoustic Sound Effects Using Physically Informed Models (2018)
Journal Article
Selfridge, R., Moffat, D., Avital, E., & Reiss, J. (2018). Creating Real-Time Aeroacoustic Sound Effects Using Physically Informed Models. Journal of the Audio Engineering Society, 66(7/8), 594-607. https://doi.org/10.17743/jaes.2018.0033

Aeroacoustics is a branch of engineering within fluid dynamics. It encompasses sounds generated by disturbances in air either by an airflow being disturbed by an object or an object moving through air. A number of fundamental sound sources exist depe... Read More about Creating Real-Time Aeroacoustic Sound Effects Using Physically Informed Models.

A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment (2018)
Journal Article
Babar, M., Khan, F., Iqbal, W., Yahya, A., Arif, F., Tan, Z., & Chuma, J. (2018). A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment. IEEE Access, 6, 43088-43099

Smart societies have an increasing demand for quality-oriented services and infrastructure in an Industrial Internet of Things (IIoT) paradigm. Smart urbanization faces numerous challenges. Among them, secured energy Demand Side Management (DSM) is o... Read More about A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment.

Traffic Sign Recognition based on Synthesised Training Data (2018)
Journal Article
Stergiou, A., Kalliatakis, G., & Chrysoulas, C. (2018). Traffic Sign Recognition based on Synthesised Training Data. Big Data and Cognitive Computing, 2(3), Article 19. https://doi.org/10.3390/bdcc2030019

To deal with the richness in visual appearance variation found in real-world data, we propose to synthesise training data capturing these differences for traffic sign recognition. The use of synthetic training data, created from road traffic sign tem... Read More about Traffic Sign Recognition based on Synthesised Training Data.

Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach (2018)
Journal Article
Ullah, A., Li, J., & Hussain, A. (2018). Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach. International Journal of High Performance Computing and Networking, 12(1), 13-25. https://doi.org/10.1504/IJHPCN

Elasticity enables cloud customers to enrich their applications to dynamically adjust underlying cloud resources. Over the past, a plethora of techniques have been introduced to implement elasticity. Control theory is one such technique that offers a... Read More about Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach.

Accelerating Infinite Ensemble of Clustering by Pivot Features (2018)
Journal Article
Jin, X., Xie, G., Huang, K., & Hussain, A. (2018). Accelerating Infinite Ensemble of Clustering by Pivot Features. Cognitive Computation, 10(6), 1042-1050. https://doi.org/10.1007/s12559-018-9583-8

The infinite ensemble clustering (IEC) incorporates both ensemble clustering and representation learning by fusing infinite basic partitions and shows appealing performance in the unsupervised context. However, it needs to solve the linear equation s... Read More about Accelerating Infinite Ensemble of Clustering by Pivot Features.