D. Chernikova

A general analytical solution for the variance-to-mean Feynman-alpha formulas for a two-group two-point, a two-group one-point and a one-group two-point cases

I. Pázsit, L. Pál, D. Chernikova, 2014, 1409.7255.

Characterization of strong (241)Am sources.

C. Ekberg, G. Skarnemark, A. Vesterlund, 2015, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

A unique radioisotopic label as a new concept for safeguarding and tagging of long-term stored items and waste

D. Chernikova, K. Axell, 2013, 1312.1985.

Monitoring Fissile and Matrix Materials in Closed Containers by Means of Pulsed Neutron Sources

O. Bochkarev, D. Chernikova, V. Batyaev, 2013 .

Two-point theory for the differential self-interrogation Feynman-alpha method

S. Pozzi, Johan Anderson, I. Pázsit, 2012, 1205.5372.

Derivation and quantitative analysis of the differential self-interrogation Feynman-alpha method

S. Pozzi, Johan Anderson, I. Pázsit, 2011, 1106.1744.

A comparison of artificial neural network performance: The case of neutron/gamma pulse shape discrimination

Imre Pázsit, Tatiana Tambouratzis, D. Chernikova, 2013, 2013 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).

Pulse Shape Discrimination of Neutrons and Gamma Rays Using Kohonen Artificial Neural Networks

Tatiana Tambouratzis, Dina Chernikova, Imre Pzsit, 2013, J. Artif. Intell. Soft Comput. Res..

Multi-attribute Evaluation and Choice of Alternatives for Surplus Weapons-grade Plutonium Disposition Using Utility Function at Functional Dependence of Weighting Factors

H. Garcia, S. Pozzi, M. Flaska, 2012 .