Titlebook: Intelligent Systems and Applications; Extended and Selecte Yaxin Bi,Supriya Kapoor,Rahul Bhatia Conference proceedings 2018 Springer Intern

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书目名称Intelligent Systems and Applications影响因子(影响力)




书目名称Intelligent Systems and Applications影响因子(影响力)学科排名




书目名称Intelligent Systems and Applications网络公开度




书目名称Intelligent Systems and Applications网络公开度学科排名




书目名称Intelligent Systems and Applications被引频次




书目名称Intelligent Systems and Applications被引频次学科排名




书目名称Intelligent Systems and Applications年度引用




书目名称Intelligent Systems and Applications年度引用学科排名




书目名称Intelligent Systems and Applications读者反馈




书目名称Intelligent Systems and Applications读者反馈学科排名

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S. M. Mahdi Seyednezhad,Elissa Shinseki,Daniel Romero,Ronaldo Menezes

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Optimum Wells Placement in Oil Fields Using Cellular Genetic Algorithms and Space Efficient Chromosorithm, we guarantee an improved population diversity along the algorithm execution. The experiments with the UNISIM-I reservoir indicate an enhancement of 6 to 10 times of the final NPV when comparing the proposed representation and the traditional one. Besides, the cellular genetic algorithm with

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Transient Stability Enhancement Using Sliding Mode Based NeuroFuzzy Control for SSSC,ritical applications with low complexity and high precision. The contributions of this framework are the damping performance improvement for single and multimachine power system with fast convergence speed.

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A Multi-objective Genetic Algorithm for Path Planning with Micro Aerial Vehicle Test Bed,thin the framework of a genetic algorithm utilizing only mutation and selection. Based on initial results, mass extinction may have some utility for path planning, however, due to large number of parameters and potential implementations, additional experimentation is needed.

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Mining Process Model Descriptions of Daily Life Through Event Abstraction, framework is based on the XES IEEE standard for event logs. We use supervised learning techniques to train it on training data for which both the sensor and human activity events are known. We demonstrate our abstraction framework on three real-life smart home event logs and show that the process m

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A Novel Approach for Time Series Forecasting with Multiobjective Clonal Selection Optimization and ate (.), and the tendencies discrepancy indicator (TDI) in the role of the objective functions in this algorithm. It will allow to improve the results of the solution of a problem of the short-term forecasting and to receive the adequate results of the middle-term forecasting. This MMCSA can be appl