Outputs (311)

A robust data-driven approach to the decoding of pyloric neuron activity (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., Collins, D., & Lam, K. (2017). A robust data-driven approach to the decoding of pyloric neuron activity. In 2017 IEEE International Workshop on Signal Processing Systems (SiPS). https://doi.org/10.1109/SiPS.2017.8110017

The combination of intra and extra-cellular recording of small neuronal circuits such as stomatogastric nervous systems of the crab (Cancer borealis) is well documented and routinely practised. Voltage sensitive dye imaging (VSDi) is a promising tech... Read More about A robust data-driven approach to the decoding of pyloric neuron activity.

Persian Named Entity Recognition (2017)
Presentation / Conference Contribution
Dashtipour, K., Gogate, M., Adeel, A., Algarafi, A., Howard, N., & Hussain, A. (2017). Persian Named Entity Recognition. . https://doi.org/10.1109/ICCI-CC.2017.8109733

Named Entity Recognition (NER) is an important natural language processing (NLP) tool for information extraction and retrieval from unstructured texts such as newspapers, blogs and emails. NER involves processing unstructured text for classification... Read More about Persian Named Entity Recognition.

Machine learning based computer-aided diagnosis of liver tumours (2017)
Presentation / Conference Contribution
Ali, L., Khelil, K., Wajid, S. K., Hussain, Z. U., Shah, M. A., Howard, A., …Hussain, A. (2017). Machine learning based computer-aided diagnosis of liver tumours. . https://doi.org/10.1109/ICCI-CC.2017.8109742

Image processing plays a vital role in the early detection and diagnosis of Hepatocellular Carcinoma (HCC). In this paper, we present a computational intelligence based Computer-Aided Diagnosis (CAD) system that helps medical specialists detect and d... Read More about Machine learning based computer-aided diagnosis of liver tumours.

Formal Ontology Generation by deep machine learning (2017)
Presentation / Conference Contribution
Wang, Y., Valipour, M., Zatarain, O., Gavrilova, M., Hussain, A., Howard, N., & Patel, S. (2017). Formal Ontology Generation by deep machine learning. . https://doi.org/10.1109/ICCI-CC.2017.8109723

An ontology is a taxonomic hierarchy of lexical terms and their syntactic and semantic relations for representing a framework of structured knowledge. Ontology used to be problem-specific and manually built due to its extreme complexity. Based on the... Read More about Formal Ontology Generation by deep machine learning.

Complex-valued computational model of hippocampal CA3 recurrent collaterals (2017)
Presentation / Conference Contribution
Shiva, A., Gogate, M., Howard, N., Graham, B., & Hussain, A. (2017). Complex-valued computational model of hippocampal CA3 recurrent collaterals. . https://doi.org/10.1109/ICCI-CC.2017.8109745

Complex planes are known to simplify the complexity of real world problems, providing a better comprehension of their functionality and design. The need for complex numbers in both artificial and biological neural networks is equally well established... Read More about Complex-valued computational model of hippocampal CA3 recurrent collaterals.

Development of 3D Sculpted, Hyper-Realistic Biomimetic Eyes for Humanoid Robots and Medical Ocular Prostheses (2017)
Presentation / Conference Contribution
Strathearn, C., & Ma, M. (2017, October). Development of 3D Sculpted, Hyper-Realistic Biomimetic Eyes for Humanoid Robots and Medical Ocular Prostheses. Presented at 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2017), Kyoto, Japan

Hyper-realistic Humanoid Bio-robotic Systems (HHBS) are the precise electro-mechanical bodily emulation of natural human being in materiality, form and function. However, the standardised approach of constructing static ocular prosthesis for implemen... Read More about Development of 3D Sculpted, Hyper-Realistic Biomimetic Eyes for Humanoid Robots and Medical Ocular Prostheses.

Innovation in corrosion monitoring in sewers - use of novel photonic sensors for humidity measurements in gravity sewers (2017)
Presentation / Conference Contribution
Bustamante, H., Alwis, L. S. M., Grattan, K. T. V., Sun, T., Vorreiter, L., & González, J. (2017, May). Innovation in corrosion monitoring in sewers - use of novel photonic sensors for humidity measurements in gravity sewers. Presented at Ozwater'17, Sydney, Australia

Humidity plays a key role in microbiologically induced corrosion of concrete gravity sewers. Minor reductions in humidity can reduce corrosion rates. No reliable long lived (>1 week) humidity sensors are available, thus limiting the development of us... Read More about Innovation in corrosion monitoring in sewers - use of novel photonic sensors for humidity measurements in gravity sewers.

Electromagnetic wave control by metasurfaces: From design to manufacturing (2017)
Presentation / Conference Contribution
Spada, L. L., & Hao, Y. (2017, August). Electromagnetic wave control by metasurfaces: From design to manufacturing. Presented at 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), Montreal, QC

Recently, there have been a new interest in controlling and manipulating electromagnetic waves in different frequency ranges. The development of new two-dimensional materials, called meta-surfaces, have been used to control and tailor the electromagn... Read More about Electromagnetic wave control by metasurfaces: From design to manufacturing.

Utilising natural cross-modal mappings for visual control of feature-based sound synthesis (2017)
Presentation / Conference Contribution
Tsiros, A., & Leplâtre, G. (2017, November). Utilising natural cross-modal mappings for visual control of feature-based sound synthesis. Presented at International Conference on Multimodal Interaction 2017

This paper presents the results of an investigation into audio-visual (AV) correspondences conducted as part of the development of Morpheme, a painting interface to control a corpus-based concatenative sound synthesis algorithm. Previous research has... Read More about Utilising natural cross-modal mappings for visual control of feature-based sound synthesis.

Generalized proportional fair (GPF) scheduler for LTE-A (2017)
Presentation / Conference Contribution
Aramide, S. O., Barakat, B., Wang, Y., Keates, S., & Arshad, K. (2017). Generalized proportional fair (GPF) scheduler for LTE-A. In 2017 9th Computer Science and Electronic Engineering (CEEC) (128-132). https://doi.org/10.1109/CEEC.2017.8101612

The growth of wireless traffic and the demand for higher data rates motivated researchers around the world to enhance the Long Term Evolution-Advanced (LTE-A) performance. Recently, a considerable amount of the research had been done to optimise the... Read More about Generalized proportional fair (GPF) scheduler for LTE-A.