Titlebook: Advanced Machine Intelligence and Signal Processing; Deepak Gupta,Koj Sambyo,Sonali Agarwal Conference proceedings 2022 The Editor(s) (if

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Deepak Gupta,Koj Sambyo,Sonali AgarwalPresents high-quality research in the field of machine intelligence and signal processing.Features the outcomes of MISP 2021, held at National Institute of Technology, Arunachal Pradesh, India.Serves

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https://doi.org/10.1007/978-981-19-0840-8Signal Processing; Network Intelligence; Machine Learning and their Applications; Time-frequency Analys

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Advanced Machine Intelligence and Signal Processing978-981-19-0840-8Series ISSN 1876-1100 Series E-ISSN 1876-1119

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https://doi.org/10.1007/978-3-031-29489-1onal machine learning models. Moreover, the other implementations of these models such as the convolutional neural networks (CNNs) provide extensive applications in the field of medicine, which usually involves processing and analysis of a large dataset. This paper aims to create a CNN model which c

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https://doi.org/10.1007/978-3-031-29489-1e highly efficient screening of patient cases. Conventional RT-PCR testing, even though more reliable, cannot be done on every patient as the virus has spread way faster than the world’s resources could afford. One very important screening approach that is being used across the globe is chest X-ray

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,Erratum zu: Big Data in der Mobilit?t,e overall performance and reliability of the speech signal. This paper presents an idea of speech enhancement by amputation of impulsive disruption (noise) with the aid of modifying the dual spectrum (noisy magnitude and phase spectrum) under short time Fourier transform (STFT) domain. The processin

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https://doi.org/10.1007/978-3-031-04903-3assification approach using an ensemble booster algorithm “XGBOOST” classifier. All the traditional approaches in machine learning have developed models with low variance or with high bias. So, the proposed system has evaluated the model with different evaluation metrics. In the world of machine lea

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P2P Lending as a New Model of Digital Bankhas lots of applications such as automatic recognition and classification of fabrics and to detect the defects on the fabrics and the quality of the fabrics in fabric industries. Conversely, for the existing manual systems, it is a tough task to estimate the correct fabric texture class group effect