References
- 1. Chen, D. and Cheng, L. (2014) Fast linearized alternating direction minimization algorithm with adaptive parameter selection for multiplicative noise removal. Journal of Computational and Applied Mathematics, 257, 29-45.
- 2. Chernyi, S. (2016a) Use of Information Intelligent Components for the Analysis of Complex Processes of Marine Energy Systems,Transport and Telecommunication, 17(3), 202-211. DOI: 10.1515/ttj-2016-0018
- 3. Chernyi, S. (2016b) Techniques for selecting topology and implementing the distributed control system network. IOP Conf. Ser.: Mater. Sci. Eng., 124, 012048.
- 4. Chernyi, S. (2016c) Analysis of the energy reliability component for offshore drilling platforms within the Black Sea. Neftyanoe Khozyaystvo - Oil Industry, 2, 106-110.
- 5. Cutroneo, L., Castellano, M., Carbone, C., Consani, S., Gaino, F., Tucci, S., Magrì, S., Povero, P., Bertolotto, R., Canepa, G. and Capello, M. (2015) Evaluation of the boundary condition influence on PAH concentrations in the water column during the sediment dredging of a port. Marine Pollution Bulletin, 101(2), 583-593.
- 6. Khoshgoftaar, T. and Seliya, N. (2003) Software Quality Classification Modelling Using the SPRINT Decision Tree Algorithm. International Journal on Artificial Intelligence Tools, 12(03), 207-225.
- 7. Malioutov, D., Corum, A. and Cetin, M. (2016) Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone Regularization. IEEE J. Sel. Top. Signal Process., 10(6), 1006-1014.
- 8. Nyrkov, A., Sokolov, S., Belousov, A. (2015) Algorithmic Support of Optimization of Multicast Data Transmission in Networks with Dynamic Routing. Modern Applied Science, 9(5), 162-76. DOI: 10.5539/mas.v9n5p162.
- 9. Park, C. (2005) Parameter estimation of incomplete data in competing risks using the EM algorithm. IEEE Transactions on Reliability, 54(2), 282-290.
- 10. Rood, B. and Lewis, M. (2009) Grid Resource Availability Prediction-Based Scheduling and Task Replication. J Grid Computing, 7(4), 479-500.
- 11. Ruffio, E., Saury, D. and Petit, D. (2012) Robust experiment design for the estimation of thermo physical parameters using stochastic algorithms. International Journal of Heat and Mass Transfer, 55(11-12), 2901-2915.
- 12. Russell, M. (2014) Strategic scoping report and dredging effects. Marine Pollution Bulletin, 86(1-2), 594.
- 13. Shi, Y. and Ji, H. (2014) Smooth approximation method for non-smooth empirical risk minimization based distance metric learning. Neurocomputing, 127, pp.135-143.
- 14. Spearman, J. (2015) A review of the physical impacts of sediment dispersion from aggregate dredging. Marine Pollution Bulletin, 94(1-2), 260-277.
- 15. Tuan, Salwani Awang (2013) Enhancing Students’ Understanding in Integral Calculus through the Integration of Maple in Learning. Procedia -Social and Behavioural Sciences, 102(22), 204-211.
- 16. Upadhya, K., Seelamantula, C. and Hari, K. (2016) A risk minimization framework for channel estimation in OFDM systems. Signal Processing, 128, 78-87.
- 17. Vieira, G., Neto, F. and Ribeiro, J. (2015) The Rationalization of Port Logistics Activities: A Study at Port of Santos (Brazil). International Journal of e-Navigation and Maritime Economy, 2, pp.73-86.
- 18. Walther, L., Rizvanolli, A., Wendebourg, M. and Jahn, C. (2016) Modelling and Optimization Algorithms in Ship Weather Routing. International Journal of e-Navigation and Maritime Economy, 4, 31-45.