Outputs (4095)

An Improvement of Tree-Rule Firewall for a Large Network: Supporting Large Rule Size and Low Delay (2017)
Presentation / Conference Contribution
Chomsiri, T., He, X., Nanda, P., & Tan, Z. (2016, August). An Improvement of Tree-Rule Firewall for a Large Network: Supporting Large Rule Size and Low Delay. Presented at 2016 IEEE Trustcom/BigDataSE/ISPA

The firewalls were invented since 1990s [1] and have been developed to operate more secure and faster. From the first era of the firewalls until today, they still regulate packet based on a listed rule. The listed rule is the set of rule sequence whi... Read More about An Improvement of Tree-Rule Firewall for a Large Network: Supporting Large Rule Size and Low Delay.

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis (2017)
Journal Article
Poria, S., Peng, H., Hussain, A., Howard, N., & Cambria, E. (2017). Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis. Neurocomputing, 261, 217-230. https://doi.org/10.1016/j.neucom.2016.09.117

The advent of the Social Web has enabled anyone with an Internet connection to easily create and share their ideas, opinions and content with millions of other people around the world. In pace with a global deluge of videos from billions of computers... Read More about Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis.

A review of affective computing: From unimodal analysis to multimodal fusion (2017)
Journal Article
Poria, S., Cambria, E., Bajpai, R., & Hussain, A. (2017). A review of affective computing: From unimodal analysis to multimodal fusion. Information Fusion, 37, 98-125. https://doi.org/10.1016/j.inffus.2017.02.003

Affective computing is an emerging interdisciplinary research field bringing together researchers and practitioners from various fields, ranging from artificial intelligence, natural language processing, to cognitive and social sciences. With the pro... Read More about A review of affective computing: From unimodal analysis to multimodal fusion.

Convolutional MKL based multimodal emotion recognition and sentiment analysis (2017)
Presentation / Conference Contribution
Poria, S., Chaturvedi, I., Cambria, E., & Hussain, A. (2016, December). Convolutional MKL based multimodal emotion recognition and sentiment analysis. Presented at 2016 IEEE 16th International Conference on Data Mining (ICDM), Barcelona, Spain

Technology has enabled anyone with an Internet connection to easily create and share their ideas, opinions and content with millions of other people around the world. Much of the content being posted and consumed online is multimodal. With billions o... Read More about Convolutional MKL based multimodal emotion recognition and sentiment analysis.

Securing the Internet of Things (2017)
Book
Romdhani, I. (2017). S. Li, & L. Da Xu (Eds.), Securing the Internet of Things. Elsevier

Key Features

Helps researchers and practitioners understand the security architecture in IoT and the state-of-the-art in IoT security countermeasures
Explores how the threats in IoT are different from traditional ad hoc or infrastructural network... Read More about Securing the Internet of Things.

Internationalising groupwork: collaborative student projects with China and USA (2017)
Presentation / Conference Contribution
Davison, B. (2017, February). Internationalising groupwork: collaborative student projects with China and USA. Paper presented at Edinburgh Napier University Learning, Teaching and Research Conference, Edinburgh

The management of remote projects is challenging, especially for students who do not have the framework of a professional environment and a monthly salary for motivation. Adding an international dimension where team members are several time zones apa... Read More about Internationalising groupwork: collaborative student projects with China and USA.

BARBEI: a new adaptive battery aware and reliable beacon enabled technique for IEEE802.15.4 MAC. (2017)
Book Chapter
Salayma, M., Al-Dubai, A., Romdhani, I., & Yassein, M. B. (2017). BARBEI: a new adaptive battery aware and reliable beacon enabled technique for IEEE802.15.4 MAC. In M. Grzenda, J. Furtak, J. Legierski, & A. I. Awad (Eds.), Advances in Networking Systems Architectures, Security, and Applications (317-335). Springer

The IEEE 802.15.4 standard supports both physical and Media Access Con-trol (MAC) layers of low rate Wireless Sensor Network (WSNs). However, this stand-ard considers only the ideal linear power consumption, omitting the fact that the diffu-sion prin... Read More about BARBEI: a new adaptive battery aware and reliable beacon enabled technique for IEEE802.15.4 MAC..

Ensemble based majority voting for point-to-point measurements of Gyrodactylus species identification (2017)
Journal Article
Ali, R., Hussain, A., & Abel, A. (2017). Ensemble based majority voting for point-to-point measurements of Gyrodactylus species identification. ARPN Journal of Engineering and Applied Sciences, 12(2), 310-316

In the 21st Century, a key challenge in both wild and cultured fish populations for control and management of disease is to securely and consistently perform pathogen identification. To provide automated accurate classification for the challeng... Read More about Ensemble based majority voting for point-to-point measurements of Gyrodactylus species identification.

Applying semantic technologies to multi-agent models in the context of business simulations. (2017)
Thesis
Farrenkopf, T. Applying semantic technologies to multi-agent models in the context of business simulations. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/1033149

Agent-based simulations are an effective simulation technique that can flexibly be applied to real-world business problems. By integrating such simulations into business games, they become a widely accepted educational instrument in the context of bu... Read More about Applying semantic technologies to multi-agent models in the context of business simulations..

BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications (2017)
Journal Article
Chinenyeze, S. J., Liu, X., & Al-Dubai, A. (2017). BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications. Journal of Software: Evolution and Process, 29(2), e1848. https://doi.org/10.1002/smr.1848

With the resource-constrained nature of mobile devices and the resource-abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods h... Read More about BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications.