Titlebook: Advances in Signal Processing and Intelligent Recognition Systems; 5th International Sy Sabu M. Thampi,Rajesh M. Hegde,Juan M. Corchado Con

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书目名称Advances in Signal Processing and Intelligent Recognition Systems影响因子(影响力)




书目名称Advances in Signal Processing and Intelligent Recognition Systems影响因子(影响力)学科排名




书目名称Advances in Signal Processing and Intelligent Recognition Systems网络公开度




书目名称Advances in Signal Processing and Intelligent Recognition Systems网络公开度学科排名




书目名称Advances in Signal Processing and Intelligent Recognition Systems被引频次




书目名称Advances in Signal Processing and Intelligent Recognition Systems被引频次学科排名




书目名称Advances in Signal Processing and Intelligent Recognition Systems年度引用




书目名称Advances in Signal Processing and Intelligent Recognition Systems年度引用学科排名




书目名称Advances in Signal Processing and Intelligent Recognition Systems读者反馈




书目名称Advances in Signal Processing and Intelligent Recognition Systems读者反馈学科排名

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Artificial Intelligence Enabled Online Non-intrusive Load Monitoring Embedded in Smart Plugselectrical appliances remotely and automatically. It is promising that, the networks of smart plugs in the power system will enable autonomous demand response for optimal grid operation. This benefits power systems from several aspects, e.g., enhancing renewable penetration and reducing the peak loa

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Identifying the Influential User Based on User Interaction Model for Twitter Data entity or node can be people, groups or organizations and the links or edges are shown to represent the relationship between them. Edges are used to identify whether there is communication or social interaction between different users. Based on the user’s interest or activities made in a social gro

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Multilingual Phone Recognition: Comparison of Traditional versus Common Multilingual Phone-Set Approoffers seamless decoding of the code-switched speech. We show that this approach is superior to a more conventional front-end language-identification (LID)-switched monolingual phone recognition (LID-Mono) trained individually on each of the languages present in multilingual dataset. The state-of-th

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CNN Based Periocular Recognition Using Multispectral Imagesification scenario to operate reliably round the clock, it should be capable of subject recognition in multiple spectra. However, there is limited research associated with the non-ideal multispectral imaging of the periocular trait. This is critical for real life applications such as surveillance an

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