New Trends in the Applications of Differential Equations in Sciences

nonlinearity(N. Irkil, E. Piskin).- 18. An Application of Simplest Equation Method to Nonlinear Equations of Schrödinger Kind(I. Jordanov).- 19. On the square of Laplacian with inverse square potential(V. Georgiev, M. Rastrelli).- Part 2. Applications in Mathematical Biology.- 20. Parameter Recovery Study of Honeybee Colony Failure due to Nutritional Issues(A. Atanasov, S. Georgiev).- 21. Dynamical Modeling of Competition between Three Basic Power Plants Types(E. Nikolova).- 22. Stability Analysis of a Mathematical Model of Hepatitis B Virus with Control on Immune System(I. Volinsky).- 23. Oncolytic virus vs cancer: Modeling and Simulation of Virotherapy with Differential Equations(I. Panayotova, M. Brucal-Hallare).- 24. Numerical Analysis of Honey Bee Colonies in Winter by Sign-changing Chemotactic Coefficient Model(A. Atanasov, M. Koleva, L. Vulkov).- 25. On Jansen - Rit system modeling epilepsyphenomena(A. Coletti).- Part 3. Applications in Financial Mathematics.- 27. Forex Time Series Forecasting using Hybrid Convolutional Neural Network/Long Short-Term Memory Network Model(M. Markova).- 28. Diversification and Optimization of the Financial Portfolio in Times of Uncertainty(I. Georgiev, V. Deninska, V. Mihova, V. Pavlov).- 29. Simulating Stochastic Differential Equations in Option Pricing(T. Klimenko, V. Pavlov).- 30. Comparison of the Growth Between the Number and the Payments of IBNR Claims with Chain Ladder Method(E. Raeva, V. Pavlov).- 31. Comparative Analysis of ARIMA and Modified Differential Equation Approaches in Stock Price Prediction and Portfolio Formation(V. Mihova, V. Centeno, I. Georgiev, V. Pavlov).- 32. Models for Measuring and Forecasting the Inferred Rate of Default(V. Boutchaktchiev).- Part 4. Applications in Neuroscience.- 33. Application of the Wavelet Data Transformation for the Time Series Forecasting by the Artificial Neural Network(A. Butorova, E. Baglaeva, I. Subbotina, M. Sergeeva, A. Sergeev, A. Shichkin, A. Buevich, P. Petrov,).- 34. Discrete neural networks with maximum and non-instantaneous impulses with computer simulation(S. Hristova, K. Stefanova).- 35. Prediction of the time series by the various types of artificial neural networks by the example of  different time intervals of the content of methane in the atmosphere(A. Butorova, A. Buevich, A.  Shichkin, A. Sergeev, E. Baglaeva, M. Sergeeva, I. Subbotina, J. Vasilev).- 36. Highly accurate scrambled stochastic approaches for multidimensional sensitivity analysis in air pollution modelling(V. Todorov, S. Georgiev,).- 37. Advanced biased stochastic approaches based on modified Sobol sequences for Fredholm integral equations(V. Todorov, I. Dimov, R. Georgieva,).- Part 5. Applications in Fractional Analysis.- 38. Conditional boundedness of generalized proportional Caputo fractional differential equations(S.  Hristova, KIvanova).- 39. Practical stability of generalized proportional Caputo fractional differential equations by Lyapunov functions(T. Donchev, S. Hristova).- 40. Nonlinear evolution inclusions with causal operators(T. Donchev, N. Kitanov, A. Lazu, S. Stefanov).- 41. Non-positivity of Operators Gs,n+( T. Zapryanova).- 42. Some notes on Arcsine Exponentiated-X Family(M. Vasileva, N. Kyurkchiev).- 43. On a Piecewise Smooth Gompertz Growth Function. Applications(V. Kyurkchiev, A. Iliev, A.  Rahnev, N. Kyurkchiev).