On-Line Building Energy Optimization Using Deep Reinforcement Learning
Journal Article
Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M., & Slootweg, J. G. (2019)
On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid, 10(4), 3698-3708. https://doi.org/10.1109/tsg.2018.2834219
Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the ...
Modified Bow-Tie Nanoparticles Operating in the Visible and Near Infrared Frequency Regime
Journal Article
Iovine, R., Spada, L. L., & Vegni, L. (2013)
Modified Bow-Tie Nanoparticles Operating in the Visible and Near Infrared Frequency Regime. Advances in nanoparticles, 02(01), 21-27. doi:10.4236/anp.2013.21005
In this contribution electromagnetic properties of traditional and modified bow-tie nanoparticles are investigated. The modified bow-tie particles consist of a pair of opposin...
Use of ubiquitous real-time bus passenger information
Journal Article
Islam, M. F., Fonzone, A., MacIver, A., & Dickinson, K. (2020)
Use of ubiquitous real-time bus passenger information. IET Intelligent Transport Systems, 14(3), 139-147. https://doi.org/10.1049/iet-its.2019.0324
Ubiquitous real-time passenger information (URTPI) enhances the perceived quality of service of public transport and enables travellers to make better pre-trip and en-route tr...
A topological insight into restricted Boltzmann machines
Journal Article
Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M., & Liotta, A. (2016)
A topological insight into restricted Boltzmann machines. Machine Learning, 104(2-3), 243-270. https://doi.org/10.1007/s10994-016-5570-z
Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for automatic feature...
Spectral Green's Function for SPR Meta-Structures
Journal Article
Iovine, R., La Spada, L., Tarparelli, R., & Vegni, L. (2014)
Spectral Green's Function for SPR Meta-Structures. Materials Science Forum, 792, 110-114. doi:10.4028/www.scientific.net/msf.792.110
In this paper we propose a new approach to study the electromagnetic field in Surface Plasmon Resonance (SPR) meta-structures. The geometry is a planar structure infinitely ex...
Electromagnetic modeling of ellipsoidal nanoparticles for sensing applications
Journal Article
Spada, L. L., Iovine, R., & Vegni, L. (2013)
Electromagnetic modeling of ellipsoidal nanoparticles for sensing applications. Optical Engineering, 52(5), 051205. doi:10.1117/1.oe.52.5.051205
We present a new analytical study of metallic nanoparticles, working in the infrared and visible frequency range. The structure consists of triaxial ellipsoidal resonating inc...
Transferred versus local Safety Performance Functions: A geographical analysis considering two European case studies
Journal Article
Intini, P., Berloco, N., Binetti, R., Fonzone, A., Ranieri, V., & Colonna, P. (2019)
Transferred versus local Safety Performance Functions: A geographical analysis considering two European case studies. Safety Science, 120, 906-921. https://doi.org/10.1016/j.ssci.2019.08.013
Two main approaches can be used to predict road accidents: transferring existing Safety Performance Functions (SPFs) from other areas (transferred SPFs), and developing local ...
An AI approach to Collecting and Analyzing Human Interactions with Urban Environments
Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019)
An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845
Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, i...
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach
Journal Article
Di Mauro, M., & Liotta, A. (2019)
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. IEEE Transactions on Network and Service Management, 16(4), 1493-1506. https://doi.org/10.1109/tnsm.2019.2943776
The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provision...
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
Journal Article
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 ...