Titlebook: Computer Science and Engineering—Theory and Applications; Mauricio A. Sanchez,Leocundo Aguilar,Antonio Rodrí Book 2018 Springer Internatio

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書目名稱Computer Science and Engineering—Theory and Applications影響因子(影響力)




書目名稱Computer Science and Engineering—Theory and Applications影響因子(影響力)學科排名




書目名稱Computer Science and Engineering—Theory and Applications網(wǎng)絡公開度




書目名稱Computer Science and Engineering—Theory and Applications網(wǎng)絡公開度學科排名




書目名稱Computer Science and Engineering—Theory and Applications被引頻次




書目名稱Computer Science and Engineering—Theory and Applications被引頻次學科排名




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書目名稱Computer Science and Engineering—Theory and Applications年度引用學科排名




書目名稱Computer Science and Engineering—Theory and Applications讀者反饋




書目名稱Computer Science and Engineering—Theory and Applications讀者反饋學科排名

任命

heterodox

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On Modeling Tacit Knowledge for Intelligent Systems, Tacit Knowledge. Tacit Knowledge is analyzed and separated into articulable and inarticulable for ease of scrutiny. Concepts and ideas are taken up from knowledge management literature aiming to understand the scope of knowledge. Among the bailed out concepts “particulars” and “concepts” stand out,

Offensive

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Multi-layered Network Modeled with MAS and Network Theory, real multilayered systems where nodes belong to different layers at the same time and have multiple interactions. Some of the research conducted under the multilayer approach focuses on the structure and topology of the network; to measure the resilience and robustness simulating the elimination of

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A Fuzzy Inference System and Data Mining Toolkit for Agent-Based Simulation in NetLogo,ists with limited ability as programmers who aim to leverage computer modeling via agent-oriented approaches. This paper introduces a novel modeling framework, JT2FIS NetLogo, a toolkit for integrating interval Type-2 fuzzy inference systems in agent-based models and simulations. An extension to Net

gimmick

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Detecting Epilepsy in EEG Signals Using Time, Frequency and Time-Frequency Domain Features,angering the patient’s well being. Exploiting today’s technology it is possible toe create automatic systems to monitor and evaluate patients. An area of special interest is the automatic analysis of EEG signals. This paper presents extensive analysis of feature extraction and classification methods

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