Titlebook: Intelligent Data Engineering and Analytics; Frontiers in Intelli Suresh Chandra Satapathy,Yu-Dong Zhang,Ritanjali M Conference proceedings

Hiatus

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Sentiment Analysis on Movie Review Using Deep Learning RNN Method,N algorithm instead of machine learning algorithm because machine learning algorithm works only in single layer while RNN algorithm works on multilayer that gives you better output as compared to machine learning.

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Anaghashree,Sushmita Delcy Pereira,Rao B. Ashwath,Shwetha Rai,N. Gopalakrishna Kini

抱狗不敢前

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Potential of Robust Face Recognition from Real-Time CCTV Video Stream for Biometric Attendance Usinpressions, lighting conditions, and resolution of the image. The wellness of the recognition technique firmly depends on the accuracy of extracted features and also on the ability to deal with the low-resolution face images. The mastery to learn accurate features from raw face images makes deep conv

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ATM Theft Investigation Using Convolutional Neural Network, (ATM) is common nowadays, in spite of having a surveillance camera inside an ATM as it is not fully integrated to detect crime/theft. On the other hand, we have many image processing algorithms that can help us to detect the covered faces, a person wearing a helmet and some other abnormal features.

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自由職業(yè)者

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Two-Way Face Scrutinizing System for Elimination of Proxy Attendances Using Deep Learning,rs, and also has a major impact in facilitating new cutting-edge technologies and innovations. TheInternet of Things, image processing and machine learning are evolving day by day. Many systems have completely changed due to this evolvement to achieve more accurate results. The attendance recording