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

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書目名稱Intelligent Systems and Applications影響因子(影響力)




書目名稱Intelligent Systems and Applications影響因子(影響力)學(xué)科排名




書目名稱Intelligent Systems and Applications網(wǎng)絡(luò)公開度




書目名稱Intelligent Systems and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Systems and Applications被引頻次




書目名稱Intelligent Systems and Applications被引頻次學(xué)科排名




書目名稱Intelligent Systems and Applications年度引用




書目名稱Intelligent Systems and Applications年度引用學(xué)科排名




書目名稱Intelligent Systems and Applications讀者反饋




書目名稱Intelligent Systems and Applications讀者反饋學(xué)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