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Titlebook: Applied Information Processing Systems; Proceedings of ICCET Brijesh Iyer,Debashis Ghosh,Valentina Emilia Balas Conference proceedings 2022

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https://doi.org/10.1007/978-3-322-89484-7can be made with screening mammography. The main challenge of screening mammography is its high risk of false positives and false negatives. This paper presents the detection of breast cancer in mammograms using the VGG16 model of deep learning approaches. The VGG16 model is trained and tested on 32
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https://doi.org/10.1007/978-3-322-89484-7o recordings of cough is still in its infancy. Our paper proposes a novel kind of COVID-19 test using forced cough recordings. Our model architecture enables a nearly cost-free, real-time solution for COVID-19 testing. The model uses forced cough recordings to recognize whether the patient is COVID-
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https://doi.org/10.1007/978-3-658-24091-2into a small place where everyone wants quick and relevant medical data to prevent contagious diseases. Doctors, nursing staff, medical practitioners, frontline Covid19 epidemic fighters, and even the common man requires updates and summarized biomedical statistics. A study on Graph-based biomedical
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https://doi.org/10.1007/978-3-658-24091-2ountries. Detection and identification of AD patients from normal subjects using EEG biomarkers is a research problem. This study has developed an automatic detection of AD patients using Spectral Entropy (SE) and Kolmogorov Complexity (KC) feature sets. It is observed that (i) the SE value is low i
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A Lean Framework for Starting a New Venture,median filters on digital images. Recently, percentage streaking area (PSA) has been used as a metric to measure streaking in images. The paper performs an analysis of the percentage streak area (PSA). The work investigates streaking effect using PSA in natural images and when commonly applied filte
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Dean A. Shepherd,Holger Patzeltast Mean Square (FxLMS) is an adaptive algorithm that hands down the best and most convenient option for realizing this ambition since it is highly regarded for its reduced computational complexity and design robustness for use in a controller in an adaptive filter. An adaptive filter differs from a
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