Titlebook: Hybrid Artificial Intelligence Systems; Third International Emilio Corchado,Ajith Abraham,Witold Pedrycz Conference proceedings 2008 The E

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書目名稱Hybrid Artificial Intelligence Systems影響因子(影響力)




書目名稱Hybrid Artificial Intelligence Systems影響因子(影響力)學科排名




書目名稱Hybrid Artificial Intelligence Systems網絡公開度




書目名稱Hybrid Artificial Intelligence Systems網絡公開度學科排名




書目名稱Hybrid Artificial Intelligence Systems被引頻次




書目名稱Hybrid Artificial Intelligence Systems被引頻次學科排名




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書目名稱Hybrid Artificial Intelligence Systems年度引用學科排名




書目名稱Hybrid Artificial Intelligence Systems讀者反饋




書目名稱Hybrid Artificial Intelligence Systems讀者反饋學科排名

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Xindong Wuganizations have made a leap to adopt related knowledge frameworks in e-commerce computing with the combination of business intelligence to remain in front of patterns and future demands. This is manifested by a significant number of organizations of all sizes, in all enterprises, all around the glo

Keratectomy

Bogdan Gabrysganizations have made a leap to adopt related knowledge frameworks in e-commerce computing with the combination of business intelligence to remain in front of patterns and future demands. This is manifested by a significant number of organizations of all sizes, in all enterprises, all around the glo

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Dna262

Hujun Yinlassification with respect to reducing the computational cost and increasing the classification accuracy. In this study, we implement a new multimodal feature learning method and object identification framework using High Performance Computing Cluster (HPCC Systems.). The framework first learns repr

彎彎曲曲

Yanbin Liu,Chunguang Zhou,Kangping Wang,Dan Li,Dongwei Guoave been collecting massive amounts of domain-specific information, which can contain useful information about problems such as national intelligence, cyber security, fraud detection, marketing, and medical informatics. Companies such as Google and Microsoft are analyzing large volumes of data for b

ATOPY

Sara Rodríguez,Javier Bajolassification with respect to reducing the computational cost and increasing the classification accuracy. In this study, we implement a new multimodal feature learning method and object identification framework using High Performance Computing Cluster (HPCC Systems.). The framework first learns repr

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附錄

Juan A. Fraile,Dante I. Tapia,Miguel A. Sánchezequire a knowledge management system which offers opportunities to work on one task with different organizations on the same time. Cooperative work in the field of setup preparation for production systems is one challenge for an efficiency and infallibly work preparation. One example is the validati

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