Titlebook: Intelligent Methods and Big Data in Industrial Applications; Robert Bembenik,Łukasz Skonieczny,Henryk Rybinski Book 2019 Springer Internat

Forbidding

书目名称Intelligent Methods and Big Data in Industrial Applications影响因子(影响力)




书目名称Intelligent Methods and Big Data in Industrial Applications影响因子(影响力)学科排名




书目名称Intelligent Methods and Big Data in Industrial Applications网络公开度




书目名称Intelligent Methods and Big Data in Industrial Applications网络公开度学科排名




书目名称Intelligent Methods and Big Data in Industrial Applications被引频次




书目名称Intelligent Methods and Big Data in Industrial Applications被引频次学科排名




书目名称Intelligent Methods and Big Data in Industrial Applications年度引用




书目名称Intelligent Methods and Big Data in Industrial Applications年度引用学科排名




书目名称Intelligent Methods and Big Data in Industrial Applications读者反馈




书目名称Intelligent Methods and Big Data in Industrial Applications读者反馈学科排名

remission

blight

https://doi.org/10.1007/978-3-319-77604-0Big Data; Computational Intelligence; Intelligent Information Systems; Intelligent Technologies; Blockch

incarcerate

下船

失望未来

Studies in Big Datahttp://image.papertrans.cn/i/image/469826.jpg

hypotension

2197-6503 actitioners in artificial intelligence, complex systems, dat.The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and b

phase-2-enzyme

Implementation of Generic Steering Algorithms for AI Agents in Computer Gamesems in their usage and the solutions to said problems. The paper also presents results of studies upon the behaviors within a closed, single-layered AI module consisting only out of a movement layer, thus removing the bias inflicted by pathfinding and decision making.

Sad570

High Performance Computing by the Crowdmputing demanding tasks. As we do not require to power additional resources for solving tasks (we better exploit unused resources . powered instead), we hypothesize a remarkable side effect at steady state: energy consumption reduction compared with traditional server farm or cloud based executions.

傻

Seismic Attributes Similarity in Facies Classificationat the data. Initial tests have shown some regularities in the correlations between seismic attributes. Some attributes are unique and potentially very helpful with information retrieval while others form non-diverse groups. These encouraging results have the potential for transferring the work to practical geological interpretation.