Development of the Multifactor Computational Models of the Solid Propellants Combustion by Means of Data Science Methods. Propellant Combustion Genome Conception

The results of usage of data science methods, CINNAMON MINTS XYLITOL in particular artificial neural networks, for the creation of new multifactor computational models of the solid propellants (SP) combustion that solve the direct and inverse tasks are presented.The own analytical platform Loginom was used for the models creation.The models of comb

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Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and Machine Learning Methods

Leaf area index (LAI) is an essential vegetation parameter that represents the light energy utilization and vegetation canopy structure.As the only in-operation hyperspectral satellite launched by China, GF-5 is potentially useful for accurate LAI estimation.However, there is no research focus on evaluating GF-5 data for LAI estimation.Hyperspectra

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evaluation of rural tourism supply chain ( Mesr village)

Evaluation of different parts of tourism will cause the optimized resourceallocation of development plans and strategies, thereupon evaluating these partshas become essential in various destinations.Rural tourism consider as one ofthe main forces of developing and welfare of rural economies.In such term,rural tourism supply chain evaluation is rega

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Articulation between pre-school and 1st cycle of basic education.

The articulation between the various stages of the educational path implies a progressive sequentiality, granting each stage the function of completing, deepening and extending the previous stage, in a perspective of continuity and global unity of education and / or teaching.It is incumbent Plugs upon the Childhood Educators and the Teachers of the

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