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Titlebook: Machine Intelligence and Signal Processing; Proceedings of Inter Sonali Agarwal,Shekhar Verma,Dharma P. Agrawal Conference proceedings 2020

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书目名称Machine Intelligence and Signal Processing
副标题Proceedings of Inter
编辑Sonali Agarwal,Shekhar Verma,Dharma P. Agrawal
视频video
概述Presents recent advances in the areas of data mining, artificial intelligence, and machine learning methods and algorithms.Discusses applications for studying human brain disorders.Serves as a valuabl
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Machine Intelligence and Signal Processing; Proceedings of Inter Sonali Agarwal,Shekhar Verma,Dharma P. Agrawal Conference proceedings 2020
描述.This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), held at the Indian Institute of Technology, Allahabad, India, on September 7–10, 2019. The book covers the latest advances in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The topics covered include support vector machines (SVM) and variants like least-squares SVM (LS-SVM) and twin SVM (TWSVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. Further, it discusses the real-time challenges involved in processing big data and adapting the algorithms dynamically to improve the computational efficiency. Lastly, it describes recent developments in processing signals, for instance, signals generated from IoT devices, smart systems, speech, and videos and addresses biomedical signal processing: electrocardiogram (ECG) and electroencephalogram (EEG)..
出版日期Conference proceedings 2020
关键词Signal Processing; Machine Learning; Conference Proceedings; MISP; MISP 2019; Time-frequency Analysis; Ker
版次1
doihttps://doi.org/10.1007/978-981-15-1366-4
isbn_softcover978-981-15-1365-7
isbn_ebook978-981-15-1366-4Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Adaptive Fast Composite Splitting Algorithm for MR Image Reconstruction,dvantages of both BM3D with adaptive TL through the use of FCSD and thus exploits the self-repetitive structure in images by enforcing non-local sparsity as well as entire consistency of the image. Experimental results reveal that the proposed method is superior to any of the individual methods in t
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