Titlebook: Advances in Computational Intelligence, Security and Internet of Things; Second International Ashim Saha,Nirmalya Kar,Suman Deb Conference

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书目名称Advances in Computational Intelligence, Security and Internet of Things影响因子(影响力)




书目名称Advances in Computational Intelligence, Security and Internet of Things影响因子(影响力)学科排名




书目名称Advances in Computational Intelligence, Security and Internet of Things网络公开度




书目名称Advances in Computational Intelligence, Security and Internet of Things网络公开度学科排名




书目名称Advances in Computational Intelligence, Security and Internet of Things被引频次




书目名称Advances in Computational Intelligence, Security and Internet of Things被引频次学科排名




书目名称Advances in Computational Intelligence, Security and Internet of Things年度引用




书目名称Advances in Computational Intelligence, Security and Internet of Things年度引用学科排名




书目名称Advances in Computational Intelligence, Security and Internet of Things读者反馈




书目名称Advances in Computational Intelligence, Security and Internet of Things读者反馈学科排名

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https://doi.org/10.1007/978-981-15-3666-3computer systems; artificial intelligence; computer networks; signal processing; network protocols; telec

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ANTI

Advances in Computational Intelligence, Security and Internet of Things978-981-15-3666-3Series ISSN 1865-0929 Series E-ISSN 1865-0937

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同音

SDG 6 Clean Water and Sanitation,brain tumors types like meningioma (T1), glioma (T2), and pituitary tumor (T3). Convolution Neural Networks (CNN), which trains the image into increasingly sub-dividing as filter blocks for the fine-tune of feature extraction from each sub-region, exhibits excellent results and successfully used for

僵硬

SDG 6 Clean Water and Sanitation,analyzing the shape of lip movement in every instance of time. The approach learns the process of prediction of shapes of lips based on recognition of movement. The lip shapes are predicted by annotating and tracking the movement of lips and synchronization of shape recognition with respect to time

tenuous

SDG 11, Sustainable Cities and Communities,irections of this part of the world. Initially, the structures of the languages are explained. A model for machine translation is proposed in which the audio of a language is taken as input and subsequently convert the data into text and finally in binary to process the language. During the process,

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