Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019)
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning,...
Curvilinear MetaSurfaces for Surface Wave Manipulation.
La Spada, L., Spooner, C., Haq, S., & Hao, Y. (2019)
Curvilinear MetaSurfaces for Surface Wave Manipulation. Scientific Reports, 9(1), https://doi.org/10.1038/s41598-018-36451-8
Artificial sheet materials, known as MetaSurfaces, have been applied to fully control both space and surface waves due to their exceptional abilities to dynamically tailor wav...
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., …Liotta, A. (2019)
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217
The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data ...
Metasurfaces for Advanced Sensing and Diagnostics
La Spada, L. (2019)
Metasurfaces for Advanced Sensing and Diagnostics. Sensors, 19(2), 355. doi:10.3390/s19020355
Interest in sensors and their applications is rapidly evolving, mainly driven by the huge demand of technologies whose ultimate purpose is to improve and enhance health and sa...
A Probabilistic Design Reuse Index
Vasantha, G., Sherlock, A., Corney, J., & Quigley, J. (2018)
A Probabilistic Design Reuse Index. In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
The benefits of being able to create a number of product variations from a limited range of components, or sub-assemblies, are widely recognized. Indeed it is clear that compa...
The shifting terrain of commercial aviation: Implications for HRM
Grant, K., & Maxwell, G. (2018)
The shifting terrain of commercial aviation: Implications for HRM. In Conference Proceedings
Safety is of paramount importance in commercial aviation. Human factors account for up to 80% of aviation accidents and incidents. Commercial aviation is experiencing rapid gr...
Interference graphs to monitor and control schedules in low-power WPAN
van der Lee, T., Liotta, A., & Exarchakos, G. (2019)
Interference graphs to monitor and control schedules in low-power WPAN. Future Generation Computer Systems, 93, 111-120. https://doi.org/10.1016/j.future.2018.10.014
• This study presents the complete and slotted interference graph model.
• The service uses the complete interference graph to evaluate the network.
• Slotted int...
Cross-modality interactive attention network for multispectral pedestrian detection
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 e...
Helicopter Lands on Uneven Terrain by means of Articulated Robotic Legs-Modelling, Simulation and Control Approach
Boix, D. M., Goh, K., & McWhinnie, J. (2018)
Helicopter Lands on Uneven Terrain by means of Articulated Robotic Legs-Modelling, Simulation and Control Approach. In 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)https://doi.org/10.1109/aim.2018.8452431
In this paper, a 3D mathematical model of a helicopter attached to a robotic landing gear is proposed to investigate into helicopter landing on uneven terrain. The landing gea...
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018)
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), 1-12. https://doi.org/10.1038/s41467-018-04316-3
Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from ...