Titlebook: Cognitive Science and Artificial Intelligence; Advances and Applica Sasikumar Gurumoorthy,Bangole Narendra Kumar Rao,X Book 2018 The Author

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書目名稱Cognitive Science and Artificial Intelligence影響因子(影響力)




書目名稱Cognitive Science and Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Cognitive Science and Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度




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書目名稱Cognitive Science and Artificial Intelligence被引頻次




書目名稱Cognitive Science and Artificial Intelligence被引頻次學(xué)科排名




書目名稱Cognitive Science and Artificial Intelligence年度引用




書目名稱Cognitive Science and Artificial Intelligence年度引用學(xué)科排名




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書目名稱Cognitive Science and Artificial Intelligence讀者反饋學(xué)科排名

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Hexagonal Image Processing and Transformations: A Practical Approach Using R,traded between the regular square structure and this new hexagonal structure. R language plays a pivotal role in development of numerical analysis and machine spaces. R language is the best way to create reproducible and high-quality analysis. It has all the flexibility and power needed to be dealin

ovation

EEG Based Emotion Recognition Using Wavelets and Neural Networks Classifier, the feature set to develop prediction models to extract the emotion information carried by the participant from emotional characteristics exhibited in different frequency bands. These models are evaluated on the dataset and emotions are classified using ANN into three different states such as posit

奇思怪想

GENRE

Lecture Notes in Computer Sciencea environment named Machine Learning based Ensemble Analytic Approach (MLEAA) consists of two phases, namely learning phase and prediction phase. In learning phase data’s are processed by map reduce framework in hadoop and the featured attributes are working towards prediction phase. The proposed ML

GENRE

compassion

Paulo Oliveira,Kleber Padovani,Ronnie Alves the feature set to develop prediction models to extract the emotion information carried by the participant from emotional characteristics exhibited in different frequency bands. These models are evaluated on the dataset and emotions are classified using ANN into three different states such as posit

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https://doi.org/10.1007/978-981-10-6698-6Deep Learning; Data Mining; Sentiment Analysis; Machine Learning; Neural Networks; Brain-based Interactio

forthy

Cognitive Science and Artificial Intelligence978-981-10-6698-6Series ISSN 2191-530X Series E-ISSN 2191-5318