Zobrazeno 1 - 10
of 57
pro vyhledávání: '"D A, Shaposhnikov"'
Publikováno v:
Овощи России, Vol 0, Iss 4, Pp 92-96 (2023)
Relevance and methodology. This article presents the results of a study on the effect of growth regulators and water-soluble fertilizers on laboratory and field germination of pumpkin seeds of various types. The results of observations of the growth
Externí odkaz:
https://doaj.org/article/9eb537876c2e4f20b3f25aa88e4f6f17
Autor:
T. G. Koleboshina, D. S. Shaposhnikov
Publikováno v:
Овощи России, Vol 0, Iss 4, Pp 60-64 (2020)
Relevance. The determining value in modern melon production is to increase the yield and market yield of environmentally friendly products at minimum costs for the cultivation of melons. For the development of the melon industry in the agro-industria
Externí odkaz:
https://doaj.org/article/dc01a1eeea6240a1b0115156cb28a8ea
Publikováno v:
Овощи России, Vol 0, Iss 5, Pp 36-39 (2018)
The basis for increasing the production of vegetables and melons is to obtain high-quality seeds of high reproductions. This will ensure the implementation and stability of breeding characteristics of varieties, the preservation of economic and valua
Externí odkaz:
https://doaj.org/article/2fd11fcc6e374f41b0ad71388cb9796f
Publikováno v:
Solar System Research. 56:369-381
Publikováno v:
Neuroscience and Behavioral Physiology. 52:431-438
Autor:
V. N. Kiroy, D. G. Shaposhnikov, O. M. Bakhtin, Anton Igorevich Saevskiy, I. E. Shepelev, D. M. Lazurenko
Publikováno v:
Optical Memory and Neural Networks. 30:26-36
The neural network-based approach to the classification of implicit emotional components in ordinary speech is considered. Mel-frequency cepstral coefficients were used as feature vectors, and the multilayer perceptron with one hidden layer was used
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6479e49fc43aadb1d72b89fa33881f4d
https://doi.org/10.1007/978-3-030-91581-0_8
https://doi.org/10.1007/978-3-030-91581-0_8
Autor:
I. E. Shepelev, Pavel Dmitrievich Shaposhnikov, V. N. Kiroy, D. M. Lazurenko, D. G. Shaposhnikov
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5354b7b45e74bf078e4778f55b5062e
https://doi.org/10.1007/978-3-030-91581-0_9
https://doi.org/10.1007/978-3-030-91581-0_9
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be0ec06dc5b751f5c169dfce9efe77a
https://doi.org/10.1007/978-3-030-91581-0_10
https://doi.org/10.1007/978-3-030-91581-0_10
Publikováno v:
Analiz Riska Zdorovʹû, Iss 4, Pp 37-49 (2019)
Climatic changes are the most apparent in the Arctic. Climatic forecasts indicate that warming is continuing on circumpolar territories. There is a vital task to determine attributive fraction of mortality caused by exposure to non-optimal temperatur