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Outputs (126)

Biomimetic pupils for augmenting eye emulation in humanoid robots (2018)
Journal Article
Strathearn, C., & Ma, M. (2018). Biomimetic pupils for augmenting eye emulation in humanoid robots. Artificial Life and Robotics, 23(4), 540-546. https://doi.org/10.1007/s10015-018-0482-6

Contemporary approaches in the development of humanoid robots continually neglect holistic nuances, particularly in ocular prosthetic design. The standard solid glass and acrylic eye construction techniques implemented in humanoid robot design presen... Read More about Biomimetic pupils for augmenting eye emulation in humanoid robots.

Cross-modality interactive attention network for multispectral pedestrian detection (2018)
Journal Article
Zhang, L., Liu, Z., Zhang, S., Yang, X., Qiao, H., Huang, K., & Hussain, A. (2019). Cross-modality interactive attention network for multispectral pedestrian detection. Information Fusion, 50, 20-29. https://doi.org/10.1016/j.inffus.2018.09.015

Multispectral pedestrian detection is an emerging solution with great promise in many around-the-clock applications, such as automotive driving and security surveillance. To exploit the complementary nature and remedy contradictory appearance between... Read More about Cross-modality interactive attention network for multispectral pedestrian detection.

HEART-IS: A novel technique for evaluating human error-related information security incidents (2018)
Journal Article
Evans, M., He, Y., Maglaras, L., & Janicke, H. (2019). HEART-IS: A novel technique for evaluating human error-related information security incidents. Computers and Security, 80, 74-89. https://doi.org/10.1016/j.cose.2018.09.002

Organisations continue to suffer information security incidents and breaches as a result of human error even though humans are recognised as the weakest link with regard to information security. Despite this level of understanding organisations conti... Read More about HEART-IS: A novel technique for evaluating human error-related information security incidents.

Tennison: A Distributed SDN Framework for Scalable Network Security (2018)
Journal Article
Fawcett, L., Scott-Hayward, S., Broadbent, M., Wright, A., & Race, N. (2018). Tennison: A Distributed SDN Framework for Scalable Network Security. IEEE Journal on Selected Areas in Communications, 36(12), 2805-2818. https://doi.org/10.1109/jsac.2018.28713

Despite the relative maturity of the Internet, the computer networks of today are still susceptible to attack. The necessary distributed nature of networks for wide area connectivity has traditionally led to high cost and complexity in designing and... Read More about Tennison: A Distributed SDN Framework for Scalable Network Security.

Capturing, Exploring and Sharing People's Emotional Bond with Places in the City using Emotion Maps (2018)
Journal Article
Stals, S., Smyth, M., & Mival, O. (2018). Capturing, Exploring and Sharing People's Emotional Bond with Places in the City using Emotion Maps. Airea: Arts and Interdisciplinary Research, 1, 47-62. https://doi.org/10.2218/airea.2799

The vision of ubiqitous computing is becoming increasingly realized through smart city solutions. With the proliferation of smartphones and smartwatches, alongside the rise of the quantified-self movement, a new technological layer is being added to... Read More about Capturing, Exploring and Sharing People's Emotional Bond with Places in the City using Emotion Maps.

Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection (2018)
Journal Article
Du, Y., Song, W., He, Q., Huang, D., Liotta, A., & Su, C. (2019). Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection. Information Fusion, 49, 89-99. https://doi.org/10.1016/j.inffus.2018.09.006

Oceanic eddies are ubiquitous in global oceans and play a major role in ocean energy transfer and nutrients distribution, thus being significant for understanding ocean current circulation and marine climate change. They are characterized by a combin... Read More about Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection.

Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting (2018)
Journal Article
Giuffrida, M. V., Doerner, P., & Tsaftaris, S. A. (2018). Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting. Plant Journal, 96(4), 880-890. https://doi.org/10.1111/tpj.14064

Direct observation of morphological plant traits is tedious and a bottleneck for high‐throughput phenotyping. Hence, interest in image‐based analysis is increasing, with the requirement for software that can reliably extract plant traits, such as lea... Read More about Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting.

Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests (2018)
Journal Article
Lin, Y., Le Kernec, J., Yang, S., Fioranelli, F., Romain, O., & Zhao, Z. (2018). Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests. IEEE Sensors Journal, 1

The accurate classification of activity patterns based on radar signatures is still an open problem and is a key to detect anomalous behavior for security and health applications. This paper presents a novel iterative convolutional neural network str... Read More about Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests.

Home appliances classification based on multi-feature using ELM (2018)
Journal Article
Wu, Z., Liu, Q., Chen, F., Chen, F., Liu, X., & Linge, N. (2018). Home appliances classification based on multi-feature using ELM. International Journal of Sensor Networks, 28(1), 34. https://doi.org/10.1504/ijsnet.2018.094710

With the development of science and technology, the application in artificial intelligence has been more and more popular, as well as smart home has become a hot topic. And pattern recognition adapting to smart home attracts more attention, while the... Read More about Home appliances classification based on multi-feature using ELM.