Titlebook: Computational Intelligence and Efficiency in Engineering Systems; Grzegorz Borowik,Zenon Chaczko,Tadeusz Łuba Book 2015 Springer Internati

Madrigal

https://doi.org/10.1007/978-981-16-9955-9thm is proposed to detect and classify floating objects in various environmental irregularities. This method uses an evolutionary algorithmic principles to learn inconsistencies in the patterns by using a historical data of river pollution. A proof of the concept is built and validated using a real

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Maryanne Theobald,Binh Thanh Ta,Anna Filipithesis. It has been confirmed that logic synthesis Complement algorithm is efficient when applied to the construction of the map of concepts. The research has shown that strategy of construction should be adjusted depending on ontology size. For smaller ontologies—the non-recursive approach should b

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Common-Migraine

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NOCT

Christian Ameseder,Christian Pfeifferssor assignment. This research provides an answer to the open question of the complexity of the so formulated problem. We also propose other than naive Monte Carlo methods to estimate the schedule quality for the purpose of, e.g., benchmarking different scheduling algorithms in a multi-attribute sto

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Las Cruces: Stories from a Southwestern Bankify the load patterns of the cloud network. Furthermore, the outcome of this research can help the end users to recognize the threats of tasks failure in processing the e-business and e-since data in cloud environment.

Ringworm

Evolutionary Feature Optimization and Classification for Monitoring Floating Objectsre the biggest collectors of such contaminants. Monitoring of water sources can help to investigate many of details relating to the types of litter and their origin. Usually two principle methods are applied for this type of applications, which include either a use of in-situ sensors or monitoring b

Indelible

Alternative Approaches for Fast Boolean Calculations Using the GPUrallel Boolean calculations in this chapter. Hundreds of processor cores of the GPU offer a significant potential for improvements. Constraints in their application may restrict the achievable speedup. This chapter gives a taxonomy about possible approaches to solve a problem using a computer. We se

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