Titlebook: Mathematical Analysis and Computing; ICMAC 2019, Kalavak R. N. Mohapatra,S. Yugesh,C. Kalaivani Conference proceedings 2021 The Editor(s)

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书目名称Mathematical Analysis and Computing影响因子(影响力)




书目名称Mathematical Analysis and Computing影响因子(影响力)学科排名




书目名称Mathematical Analysis and Computing网络公开度




书目名称Mathematical Analysis and Computing网络公开度学科排名




书目名称Mathematical Analysis and Computing被引频次




书目名称Mathematical Analysis and Computing被引频次学科排名




书目名称Mathematical Analysis and Computing年度引用




书目名称Mathematical Analysis and Computing年度引用学科排名




书目名称Mathematical Analysis and Computing读者反馈




书目名称Mathematical Analysis and Computing读者反馈学科排名

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Choosing the Best Copula Function in Mathematical Modeling,of dependence and extreme events. Over the past few decades, several examples of copula functions and copula families with one or more real parameters are studied and are applied in various disciplines like statistics, insurance, finance, economics, survival analysis, information theory, image proce

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2194-1009 eas of mathematical analysis, soft computing, approximation and optimization through original research articles and expository survey papers. This book will be of value to research scholars, professors, and industrialists working in these areas..978-981-33-4648-2978-981-33-4646-8Series ISSN 2194-1009 Series E-ISSN 2194-1017

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B. N. Prasad Rao,M. Rangammaict task as the evaluation scenario. The effectiveness for our proposed social recommendation (GSNESR) model is validated on three benchmark real world datasets. Experimental results indicate that our proposed GSNESR outperform other state-of-the-art methods.

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Pranesh Kumar,Cigdem Topcu Guloksuz-scale information. Additionally, training strategies such as mosaic data augmentation and cosine annealing learning rate are employed to further improve small object detection accuracy. The effectiveness of SODet is demonstrated through experimental results on the KITTI dataset, showcasing a remark

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Exposition

Sarbeswar Bariks. After using the Frequency Extraction method, a clear lateralized pattern in the fatigue stage was found. The left hemisphere showed lower and the right hemisphere showed higher alpha frequency phase content evolution. It was concluded that fatigue did lower the involvement of some areas in the br

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Smita Sonker,Alka Munjalenerate filter words (codebook). Finally, each image is represented by the histogram of the occurrences of filter words in all categories. We evaluate the performance of the proposed features in scene image classification on three commonly-used scene image datasets (i.e., MIT-67, Scene15 and Event8)