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Titlebook: Machine Intelligence Techniques for Data Analysis and Signal Processing; Proceedings of the 4 Dilip Singh Sisodia,Lalit Garg,M. Tanveer Con

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書目名稱Machine Intelligence Techniques for Data Analysis and Signal Processing
副標題Proceedings of the 4
編輯Dilip Singh Sisodia,Lalit Garg,M. Tanveer
視頻videohttp://file.papertrans.cn/621/620349/620349.mp4
概述Comprises peer-reviewed proceedings of the conference MISP2022.Discusses research findings and developments in the field of machine intelligence.Enriches understanding by including contributions from
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Machine Intelligence Techniques for Data Analysis and Signal Processing; Proceedings of the 4 Dilip Singh Sisodia,Lalit Garg,M. Tanveer Con
描述This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, and videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves a valuable resource for those in academia and industry.
出版日期Conference proceedings 2023
關(guān)鍵詞Machine Intelligence; Signal Processing; Brain Computing Interface; Computational Intelligence; Pattern
版次1
doihttps://doi.org/10.1007/978-981-99-0085-5
isbn_softcover978-981-99-0087-9
isbn_ebook978-981-99-0085-5Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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978-981-99-0087-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Enhancing Agricultural Outcome with Multiple Crop Recommendations Using Sequential Forward Feature this problem by creating a recommendation model to recommend optimal crops for farmers to grow crops based on different parameters. It will assist them in making an informed decision before cultivation using sequential forward feature selection. The experimental results on publicly available datasets show the efficacy of the proposed model.
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1876-1100 ence.Enriches understanding by including contributions from This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and appli
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Conference proceedings 2023rt systems, speech, and videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves a valuable resource for those in academia and industry.
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