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116 259 (0,267s)

Result

Multi-functional trickle bed reactor for butylacetate synthesis

Multi-functional trickle bed reactor for butylacetate synthesis...

CI - Průmyslová chemie a chemické inženýrství

  • 2002
  • D
Result

Multi-functional trickle bed reactor for butylacetate synthesis

Multi-functional trickle bed reactor for butylacetate synthesis...

CI - Průmyslová chemie a chemické inženýrství

  • 2003
  • Jx
Result

Utility function in multi-attribute decision making

Basic themes of document: utility; multi-attribute decision making; utility function...

AE - Řízení, správa a administrativa

  • 2011
  • D
Result

Reactive multi-functional dyes for wool

Reactive multi-functional dyes for wool...

CC - Organická chemie

  • 1999
  • D
Result

Multi-word prepositions in the function of multi-word conjunctions

The paper describes the set of connectors which are the part of the structure of multi-word conjunctions, as in na základě toho, že/co/jak/zda/kolik/kde etc....

AI - Jazykověda

  • 2006
  • D
Result

Multi-criteria function for optimizing the number of workers in an e-maintenance

This article deals with the procedure during designing the multi-criteria function. The multi-criteria function optimizes the number of workers in an e-maintenance. The basis for defining the multi-criteri...

JR - Ostatní strojírenství

  • 2013
  • D
  • Link
Result

Performance of Multi-chaotic PSO on a shifted benchmark functions set

In this paper the performance of Multi-chaotic PSO algorithm is investigated using two shifted benchmark functions. The purpose of shifted benchmark functions with canonical version of the algorithm. It is concluded that us...

IN - Informatika

  • 2015
  • D
  • Link
Result

Multi-criteria function for optimizing the number of workers in an e-maintenance

This article deals with the procedure during designing the multi-criteria function. The multi-criteria function optimizes the number of workers in an e-maintenance. The basis for defining the multi-criteri...

JR - Ostatní strojírenství

  • 2012
  • D
Result

Multi-Input one Output Model Based on the Weighting Function

The derivation of the Multi-Input one output model based on the weighting function is discussed in the paper.

JC - Počítačový hardware a software

  • 1999
  • D
Result

Loss Functions for Clustering in Multi-instance Learning

Multi-instance learning belongs to one of recently fast developing areas into its unsupervised counterpart, multi-instance clustering. Whereas traditional functions for clustering. Three sophisticated loss functions

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
  • D
  • Link
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