Titlebook: Computational Intelligence and Machine Learning; Proceedings of the 7 Jyotsna Kumar Mandal,Imon Mukherjee,Pankaj K. Sa Conference proceedin

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书目名称Computational Intelligence and Machine Learning影响因子(影响力)




书目名称Computational Intelligence and Machine Learning影响因子(影响力)学科排名




书目名称Computational Intelligence and Machine Learning网络公开度




书目名称Computational Intelligence and Machine Learning网络公开度学科排名




书目名称Computational Intelligence and Machine Learning被引频次




书目名称Computational Intelligence and Machine Learning被引频次学科排名




书目名称Computational Intelligence and Machine Learning年度引用




书目名称Computational Intelligence and Machine Learning年度引用学科排名




书目名称Computational Intelligence and Machine Learning读者反馈




书目名称Computational Intelligence and Machine Learning读者反馈学科排名

noxious

https://doi.org/10.1007/978-3-662-62076-2urier space of model data is independent of window size for satellite sampling and is thus concluded that large and non-overlapping windows are suited for generating a Fourier space for satellite sampling.

夹克怕包裹

https://doi.org/10.1007/978-3-662-62076-2al relevance of various pacing protocols that can be employed in the future. The Luo–Rudy Phase I model of the mammalian ventricular cell has been used for simulations to demonstrate the effects of the rate dependence of activation in cardiac tissues, referred to as the Wenckebach periodicity.

谦卑

A Deep Learning Approach for Predicting Air Pollution in Smart Citiesroblem. In this paper, a novel deep learning model has been proposed to forecast the pollution. The comparison among the existing state-of-the-art methods is also done here. Experimental results shown in this work claim that the proposed work outperforms other methods with respect to accuracy and stability.

NIB

致词

致词

Minutiae Points Extraction Using Faster R-CNNaper, we propose a technique to locate and classify the minutiae points based on Faster R-CNN, which is a combination of region proposal network (RPN) and detection network. We use IIT Kanpur fingerprint database to evaluate the proposed technique and to show the performance.

HAUNT

Detection of Malaria Parasites in Thin Blood Smears Using CNN-Based Approachles are then sent to a convolutional neural network for further probing. The proposed CNN architecture is trained with a publicly available dataset along with some Giemsa-stained blood smear images collected from a hospital. The performance of malaria detection process gives a satisfactory dice score of 0.95.

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饶舌的人

News Background Linking Using Document Similarity Techniques of topics using two methods, cosine similarity and Jensen–Shannon divergence. This paper describes the implementation and gives a brief description of both the similarity methods. It also gives a comparative study of both methods.