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[14] N. Kyurkchiev, S. Markov, On the Hausdorff distance between the Heaviside step function and Verhulst logistic function, J. Math. Chem., 54, No. 1 (2016), 109-119.

[15] N. Kyurkchiev, S. Markov, Sigmoid functions: Some Approximation and Modelling Aspects, LAP LAMBERT Academic Publishing, Saarbrucken (2015), ISBN 978-3-659-76045-7.

[16] N. Kyurkchiev, A. Iliev, S. Markov, Some Techniques for Recurrence Generating of Activation Functions: Some Modeling and Approximation Aspects, LAP LAMBERT Academic Publishing (2017), ISBN: 978-3-33033143-3.

[17] R. Anguelov, M. Borisov, A. Iliev, N. Kyurkchiev, S. Markov, On the chemical meaning of some growth models possessing Gompertzian-type property, Math. Meth. Appl. Sci., (2017), 1-12, doi: 10.1002/mma.4539.

[18] R. Anguelov, N. Kyurkchiev, S. Markov, Some properties of the Blumberg’s hyper-log-logistic curve, BIOMATH, 7, No. 1 (2018), 8 pp.

[19] A. Iliev, N. Kyurkchiev, S. Markov, On the Approximation of the step function by some sigmoid functions, Mathematics and Computers in Simulation, 133 (2017), 223-234.

[20] A. Iliev, N. Kyurkchiev, S. Markov, Approximation of the cut function by Stannard and Richards sigmoid functions, IJPAM, 109, No. 1 (2016), 119-128.

[21] S. Markov, A. Iliev, A. Rahnev, N. Kyurkchiev, A note on the Loglogistic and transmuted Log-logistic models. Some applications, Dynamic Systems and Applications, 27, No. 3 (2018), 593-607.

[22] S. Markov, N. Kyurkchiev, A. Iliev, A. Rahnev, On the approximation of the cut functions by hyper-log-logistic function, Neural, Parallel and Scientific Computations, 26, No. 2 (2018), 169-182.

[23] N. Kyurkchiev, A. Iliev, S. Markov, Families of recurrence generated three and four parametric activation functions, Int. J. Sci. Res. and Development, 4, No. 12 (2017), 746-750. ZUBAIR-G FAMILY OF CUMULATIVE LIFETIME DISTRIBUTIONS 17

[24] N. Kyurkchiev, A note on the new geometric representation for the parameters in the fibril elongation process, C. R. Acad. Bulg. Sci., 69, No. 8 (2016), 963-972.

[25] N. Kyurkchiev, On the numerical solution of the general ”ligand-gated neuroreceptors model’ via CAS Mathematica, Pliska Stud. Math. Bulgar., 26 (2016), 133-142.

[26] N. Kyurkchiev, S. Markov, On the numerical solution of the general kinetic ”K-angle” reaction system, Journal of Mathematical Chemistry, 54, No. 3 (2016), 792-805.

[27] S. Markov, N. Kyurkchiev, A. Iliev, A. Rahnev, On the approximation of the generalized cut functions of degree p+1 by smooth hyper-log-logistic function, Dynamic Systems and Applications, 27, No. 4 (2018), 715-728.

[28] S. Markov, A. Iliev, A. Rahnev, N. Kyurkchiev, A Note On the Threestage Growth Model, Dynamic Systems and Applications, 28, No. 1 (2019), 63-72.

[29] S. Markov, A. Iliev, A. Rahnev, N. Kyurkchiev, A Note On the n-stage Growth Model. Overview, Biomath Communications, 5, No. 2 (2018). (accepted)

[30] O. Rahneva, H. Kiskinov, I. Dimitrov, V. Matanski, Application of a Weibull Cumulative Distribution Function Based on m Existing Ones to Population Dynamics, International Electronic Journal of Pure and Applied Mathematics, 12, No. 1 (2018), 111-121.

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[32] N. Pavlov, A. Iliev, A. Rahnev, N. Kyurkchiev, Nontrivial Models in Debugging Theory (Part 2), LAP LAMBERT Academic Publishing (2018), ISBN: 978-613-9-87794-2.

[33] N. Pavlov, A. Iliev, A. Rahnev, N. Kyurkchiev, On the extended Chen’s and Pham’s software reliability models. Some applications, Int. J. of Pure and Appl. Math., 118, No. 4 (2018), 1053-1067. 18 N. KYURKCHIEV, A. ILIEV, AND A. RAHNEV

[34] N. Pavlov, G. Spasov, A. Rahnev, N. Kyurkchiev, A new class of Gompertz-type software reliability models, International Electronic Journal of Pure and Applied Mathematics, 12, No. 1 (2018), 43-57.

[35] N. Pavlov, G. Spasov, A. Rahnev, N. Kyurkchiev, Some deterministic reliability growth curves for software error detection: Approximation and modeling aspects, International Journal of Pure and Applied Mathematics, 118, No. 3 (2018), 599-611.

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[37] N. Pavlov, A. Iliev, A. Rahnev, N. Kyurkchiev, A Note on The ”Mean Value” Software Reliability Model, International Journal of Pure and Applied Mathematics, 118, No. 4 (2018), 949-956.

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[44] N. Pavlov, A. Iliev, A. Rahnev, N. Kyurkchiev, Some deterministic growth curves with applications to software reliability analysis, Int. J. of Pure and Appl. Math., 119, No. 2 (2018), 357-368.

[45] N. Pavlov, A. Iliev, A. Rahnev, N. Kyurkchiev, Investigations of the Kstage Erlangian software reliability growth model, Int. J. of Pure and Appl. Math., 119, No. 3 (2018), 441-449.

[46] N. Pavlov, A. Iliev, A. Rahnev, N. Kyurkchiev, Some Transmuted Software Reliability Models, Journal of Mathematical Sciences and Modelling, 1, No. 2 (2018). (to appear)

[47] N. Pavlov, A. Iliev, A. Rahnev, N. Kyurkchiev, A Note on Ohbas Inflexion S-shaped Software Reliability Growth Model, Collection of scientific works from conference Mathematics. Informatics. Information Technologies. Application in Education, Pamporovo, Bulgaria, October 10-12, (2018). (to appear)

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