[Bannò, F., Marletta, D., Pappalardo, G. and Tramontana, E. (2010). Tackling consistency issues for runtime updating distributed systems, Proceedings of the IEEE International Symposium on Parallel & Distributed Processing, Workshops and PhD Forum (IPDPSW), Atlanta, GA, USA, pp. 1–8.]Search in Google Scholar
[Bonanno, F., Capizzi, G., Coco, S., Napoli, C., Laudani, A. and Lo Sciuto, G. (2014). Optimal thicknesses determination in a multilayer structure to improve the SPP efficiency for photovoltaic devices by an hybrid FEM—cascade neural network based approach, Proceedings of the IEEE International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Ischia, Italy, pp. 355–362.]Search in Google Scholar
[Bonanno, F., Capizzi, G., Gagliano, A. and Napoli, C. (2012a). Optimal management of various renewable energy sources by a new forecasting method, Proceedings of the IEEE International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Sorrento, Italy, pp. 934–940.10.1109/SPEEDAM.2012.6264603]Search in Google Scholar
[Bonanno, F., Capizzi, G. and Napoli, C. (2012b). Some remarks on the application of RNN and PRNN for the charge-discharge simulation of advanced lithium-ions battery energy storage, Proceedings of the IEEE International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Sorrento, Italy, pp. 941–945.10.1109/SPEEDAM.2012.6264500]Search in Google Scholar
[Borowik, G., Woźniak, M., Fornaia, A., Giunta, R., Napoli, C., Pappalardo, G. and Tramontana, E. (2015). A software architecture assisting workflow executions on cloud resources, International Journal of Electronics and Telecommunications61(1): 17–23.10.1515/eletel-2015-0002]Search in Google Scholar
[Calvagna, A. and Tramontana, E. (2013). Delivering dependable reusable components by expressing and enforcing design decisions, Proceedings of the IEEE Computer Software and Applications Conference (COMPSAC) Workshop (QUORS), Kyoto, Japan, pp. 493–498.]Search in Google Scholar
[Capizzi, G., Napoli, C. and Paternò, L. (2012). An innovative hybrid neuro-wavelet method for reconstruction of missing data in astronomical photometric surveys, Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, pp. 21–29.]Search in Google Scholar
[Chiani, M., Dardari, D. and Simon, M.K. (2003). New exponential bounds and approximations for the computation of error probability in fading channels, IEEE Transactions on Wireless Communications2(4): 840–845.10.1109/TWC.2003.814350]Search in Google Scholar
[Cohen, B. (2003). Incentives build robustness in BitTorrent, Workshop on Economics of Peer-to-Peer Systems, Berkeley, CA, USA, Vol. 6, pp. 68–72.]Search in Google Scholar
[Cohen, B. (2008). The BitTorrent protocol specification, http://jonas.nitro.dk/bittorrent/bittorrent-rfc.html.]Search in Google Scholar
[Connor, J.T., Martin, R.D. and Atlas, L. (1994). Recurrent neural networks and robust time series prediction, Transactions on Neural Networks5(2): 240–254.10.1109/72.279188]Search in Google Scholar
[Cybenko, G. (1989). Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals and Systems2(4): 303–314.10.1007/BF02551274]Search in Google Scholar
[Fornaia, A., Napoli, C., Pappalardo, G. and Tramontana, E. (2015). Using AOP neural networks to infer user behaviours and interests, XVI Workshop “From Object to Agents” (WOA), Napoli, Italy, pp. 46–52.]Search in Google Scholar
[Ghit, B., Pop, F. and Cristea, V. (2010). Epidemic-style global load monitoring in large-scale overlay networks, Proceedings of the International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), Fukuoka, Japan, pp. 393–398.]Search in Google Scholar
[Giunta, R., Pappalardo, G. and Tramontana, E. (2011). Aspects and annotations for controlling the roles application classes play for design patterns, Proceedings of the IEEE Asia Pacific Software Engineering Conference (APSEC), Ho Chi Minh, Vietnam, pp. 306–314.]Search in Google Scholar
[Guo, L., Chen, S., Xiao, Z., Tan, E., Ding, X. and Zhang, X. (2005). Measurements, analysis, and modeling of BitTorrent-like systems, Proceedings of the ACM SIGCOMM Conference on Internet Measurement, Berkeley, CA, USA, pp. 35-48.]Search in Google Scholar
[Gupta, M.M., Jin, L. and Homma, N. (2004). Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory, Wiley-IEEE Press, New York, NY.10.1002/0471427950]Search in Google Scholar
[Haykin, S. (2009). Neural Networks and Learning Machines, Vol. 3, Prentice Hall, New York, NY.]Search in Google Scholar
[Kaune, S., Rumin, R.C., Tyson, G., Mauthe, A., Guerrero, C. and Steinmetz, R. (2010). Unraveling BitTorrent’s file unavailability: Measurements and analysis, IEEE International Conference on Peer to Peer Computing (IEEE P2P), Delft, The Netherlands, pp. 1–9.]Search in Google Scholar
[Lapedes, A. and Farber, R. (1986). A self-optimizing, nonsymmetrical neural net for content addressable memory and pattern recognition, Physica D: Nonlinear Phenomena22(1): 247–259.10.1016/0167-2789(86)90244-7]Search in Google Scholar
[Mallat, S. (2009). A Wavelet Tour of Signal Processing: The Sparse Way, Academic Press, Cambridge.]Search in Google Scholar
[Mandic, D.P. and Chambers, J. (2001). Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability, John Wiley & Sons, Inc., New York, NY.]Search in Google Scholar
[Menasche, D.S., Rocha, A.A., Li, B., Towsley, D. and Venkataramani, A. (2009). Content availability and bundling in swarming systems, Proceedings of the ACM Conference Co-NEXT, Rome, Italy, pp. 121–132.]Search in Google Scholar
[Napoli, C., Bonanno, F. and Capizzi, G. (2010). Exploiting solar wind time series correlation with magnetospheric response by using an hybrid neuro-wavelet approach, Advances in Plasma Astrophysics: Proceedings of the International Astronomical Union, Giardini Naxos, Italy, pp. 156–158.]Search in Google Scholar
[Napoli, C., Pappalardo, G. and Tramontana, E. (2013). A hybrid neuro-wavelet predictor for QoS control and stability, in M. Baldoni et al. (Eds.), Proceedings of Artificial Intelligence (AIxIA), Lecture Notes in Computer Science, Vol. 8249, Springer, Berlin pp. 527–538.10.1007/978-3-319-03524-6_45]Search in Google Scholar
[Napoli, C., Pappalardo, G. and Tramontana, E. (2014a). An agent-driven semantical identifier using radial basis neural networks and reinforcement learning, XV Workshop “From Objects to Agents” (WOA), Catania, Italy, Vol. 1260.]Search in Google Scholar
[Napoli, C., Pappalardo, G. and Tramontana, E. (2014b). Improving files availability for BitTorrent using a diffusion model, Proceedings of the IEEE International WETICE Conference, Parma, Italy, pp. 191–196.10.1109/WETICE.2014.65]Search in Google Scholar
[Napoli, C., Pappalardo, G., Tramontana, E., Nowicki, R., Starczewski, J. and Woźniak, M. (2015). Toward work groups classification based on probabilistic neural network approach, in L. Rutkowski et al. (Eds.), Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC), Lecture Notes in Computer Science, Vol. 9119, Springer, Berlin, pp. 79–89.10.1007/978-3-319-19324-3_8]Search in Google Scholar
[Napoli, C., Pappalardo, G., Tramontana, E. and Zappalà, G. (2016). A cloud-distributed GPU architecture for pattern identification in segmented detectors big-data surveys, Computer Journal59(3): 338–352, DOI: 10.1093/comjnl/bxu147.10.1093/comjnl/bxu147]Search in Google Scholar
[Nowak, B., Nowicki, R., Woźniak, M. and Napoli, C. (2015). Multi-class nearest neighbour classifier for incomplete data handling, in L. Rutkowski et al. (Eds.), Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC), Lecture Notes in Computer Science, Vol. 9119, Springer, Berlin, pp. 469–480.10.1007/978-3-319-19324-3_42]Search in Google Scholar
[Qiu, D. and Srikant, R. (2004). Modeling and performance analysis of BitTorrent-like peer-to-peer networks, SIGCOMM Computer Communication Review34(4): 367–378.10.1145/1030194.1015508]Search in Google Scholar
[Rabiner, L.R. and Gold, B. (1975). Theory and Application of Digital Signal Processing, Prentice-Hall, Inc., Englewood Cliffs, NJ.]Search in Google Scholar
[Tramontana, E. (2013). Automatically characterising components with concerns and reducing tangling, Proceedings of the IEEE Computer Software and Applications Conference (COMPSAC), Workshop QUORS, Kyoto, Japan, pp. 499–504.]Search in Google Scholar
[Visan, A., Pop, F. and Cristea, V. (2011). Decentralized trust management in peer-to-peer systems, Proceedings of the International Symposium on Parallel and Distributed Computing (ISPDC), Cluj-Napoca, Romania, pp. 232–239.]Search in Google Scholar
[Williams, R.J. (1989). A learning algorithm for continually running fully recurrent neural networks, Neural Computation1: 270–280.10.1162/neco.1989.1.2.270]Search in Google Scholar
[Williams, R.J. and Zipser, D. (1989). Experimental analysis of the real-time recurrent learning algorithm, Connection Science1(1): 87–111.10.1080/09540098908915631]Search in Google Scholar
[Woźniak, M., Połap, D., Gabryel, M., Nowicki, R., Napoli, C. and Tramontana, E. (2015). Can we process 2D images using artificial bee colony?, in L. Rutkowski et al. (Eds.), Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC), Lecture Notes in Computer Science, Vol. 9119, Springer, Berlin, pp. 660–671.10.1007/978-3-319-19324-3_59]Search in Google Scholar