Titlebook: Intelligent Systems in Science and Information 2014; Kohei Arai,Supriya Kapoor,Rahul Bhatia Conference proceedings 2015 Springer Internati

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书目名称Intelligent Systems in Science and Information 2014影响因子(影响力)




书目名称Intelligent Systems in Science and Information 2014影响因子(影响力)学科排名




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书目名称Intelligent Systems in Science and Information 2014网络公开度学科排名




书目名称Intelligent Systems in Science and Information 2014被引频次




书目名称Intelligent Systems in Science and Information 2014被引频次学科排名




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书目名称Intelligent Systems in Science and Information 2014年度引用学科排名




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书目名称Intelligent Systems in Science and Information 2014读者反馈学科排名

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FELON

,Computer Input by Human Eyes Only and It’s Applications,ving meal aid, information collection aid, watching TV aid, listening to radio aid, phoning aid, Electric Wheel Chair: EWC control, service robot control. Through experiments with disabled and normal persons including Alzheimer diseased persons, it is found that the proposed Eye Based Human Computer

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Kernel

Detection of Privilege Abuse in RBAC Administered Database,d approach extracts the data dependencies among the attributes of relations of the database. Role based data dependency rule miner (RBDDRM) algorithm is used to mine role-wise data dependencies from database log. These data dependencies are considered as role profiles, which are used to detect the m

含水层

Learning-Based Leaf Image Recognition Frameworks,rs, land managers, and foresters. In this chapter, we propose two learning-based leaf image recognition frameworks for automatic plant identification and conduct a comparative study between them with existing approaches. First, we propose to learn sparse representation for leaf image recognition. In

BLANC

Massively Parallel Feature Selection Based on Ensemble of Filters and Multiple Robust Consensus Funare and have often driven revolutions in medicine. Statistics and machine learning techniques have been broadly investigated for biomarker identification, especially feature selection where researchers try to identify the most distinguishing genes that can achieve better predictive performance of ca

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