Edinburgh Napier University

Decentralized dynamic understanding of hidden relations in complex networks

Journal Article

Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018)

Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4

Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in s...

Artificial neural networks training acceleration through network science strategies

Journal Article

Cavallaro, L., Bagdasar, O., De Meo, P., Fiumara, G., & Liotta, A. (2020)

Artificial neural networks training acceleration through network science strategies. Soft Computing, 24, https://doi.org/10.1007/s00500-020-05302-y

The development of deep learning has led to a dramatic increase in the number of applications of artificial intelligence. However, the training of deeper neural networks for s...

Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance

Journal Article

Cauteruccio, F., Fortino, G., Guerrieri, A., Liotta, A., Mocanu, D. C., Perra, C., …Torres Vega, M. (2019)

Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance. Information Fusion, 52, 13-30. https://doi.org/10.1016/j.inffus.2018.11.010

Heterogeneous wireless sensor networks are a source of large amount of different information representing environmental aspects such as light, temperature, and humidity. A ver...

Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection

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 curren...

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...

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks

Journal Article

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,...

Improved Particle Swarm Optimization for Sea Surface Temperature Prediction

Journal Article

He, Q., Zha, C., Song, W., Hao, Z., Du, Y., Liotta, A., & Perra, C. (2020)

Improved Particle Swarm Optimization for Sea Surface Temperature Prediction. Energies, 13(6), https://doi.org/10.3390/en13061369

The Sea Surface Temperature (SST) is one of the key factors affecting ocean climate change. Hence, Sea Surface Temperature Prediction (SSTP) is of great significance to the st...

Resilience of Video Streaming Services to Network Impairments

Journal Article

Torres Vega, M., Perra, C., & Liotta, A. (2018)

Resilience of Video Streaming Services to Network Impairments. IEEE Transactions on Broadcasting, 64(2), 220-234. https://doi.org/10.1109/tbc.2017.2781125

When dealing with networks, performance management through conventional quality of service (QoS)-based methods becomes difficult and is often ineffective. In fact, quality eme...

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

Journal Article

Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., & Liotta, A. (2019)

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics, 15(1), 481-489. https://doi.org/10.1109/tii.2018.2843169

Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and t...

Interference graphs to monitor and control schedules in low-power WPAN

Journal Article

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

Highlights • This study presents the complete and slotted interference graph model. • The service uses the complete interference graph to evaluate the network. • Slotted int...