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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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發(fā)表于 2025-3-21 17:57:53 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mathematical Analysis and Computing
副標題ICMAC 2019, Kalavak
編輯R. N. Mohapatra,S. Yugesh,C. Kalaivani
視頻videohttp://file.papertrans.cn/626/625979/625979.mp4
概述Discusses recent advances in areas of mathematical analysis, soft computing, approximation and optimization.Includes original, cutting-edge research articles by expert researchers from around the worl
叢書名稱Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Mathematical Analysis and Computing; ICMAC 2019,  Kalavak R. N. Mohapatra,S. Yugesh,C. Kalaivani Conference proceedings 2021 The Editor(s)
描述.This book is a collection of selected papers presented at the International Conference on Mathematical Analysis and Computing (ICMAC 2019) held at?Sri Sivasubramaniya Nadar College of Engineering, Chennai, India, from 23–24?December 2019.?Having found its applications in game theory, economics, and operations research, mathematical analysis plays an important role in analyzing models of physical systems and provides a sound logical base for problems stated in a qualitative manner. This book aims at disseminating recent advances in areas 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..
出版日期Conference proceedings 2021
關鍵詞real and complex analysis; harmonic analysis; fixed point theory; functional analysis; dynamical systems
版次1
doihttps://doi.org/10.1007/978-981-33-4646-8
isbn_softcover978-981-33-4648-2
isbn_ebook978-981-33-4646-8Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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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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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)
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