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Titlebook: Machine Intelligence and Signal Analysis; M. Tanveer,Ram Bilas Pachori Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019

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书目名称Machine Intelligence and Signal Analysis
编辑M. Tanveer,Ram Bilas Pachori
视频video
概述Presents the latest advances in the area of data mining, artificial intelligence, optimization, machine learning methods and algorithms.Discusses applications for studying human brain and heart disord
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Machine Intelligence and Signal Analysis;  M. Tanveer,Ram Bilas Pachori Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019
描述.The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing..
出版日期Conference proceedings 2019
关键词Signal Processing; Machine Learning; Conference Proceedings; MISP; Early Diagnosis of Alzheimer disease;
版次1
doihttps://doi.org/10.1007/978-981-13-0923-6
isbn_softcover978-981-13-0922-9
isbn_ebook978-981-13-0923-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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书目名称Machine Intelligence and Signal Analysis网络公开度学科排名




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https://doi.org/10.1007/978-981-13-0923-6Signal Processing; Machine Learning; Conference Proceedings; MISP; Early Diagnosis of Alzheimer disease;
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978-981-13-0922-9Springer Nature Singapore Pte Ltd. 2019
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Machine Intelligence and Signal Analysis978-981-13-0923-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
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2194-5357 usses applications for studying human brain and heart disord.The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), leas
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,Time–Frequency–Phase Analysis for Automatic Detection of Ocular Artifact in EEG Signal using S-Tranaced at different distances from the point of origin of the artifact. This time delay translates to phase delay in the frequency domain. The phase information of the EEG signal recorded from different electrodes placed in the frontal region is used to detect the artifacts which are generated near the region where the eye is located.
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