Titlebook: Big Data Analytics; 8th International Co Ladjel Bellatreche,Vikram Goyal,P. Krishna Reddy Conference proceedings 2020 Springer Nature Switz

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Monitoring Auditory Evoked Potentialsomarker for the onset of brain-related problems. Artificial Intelligence (AI) based Convolutional Neural Networks (CNN) is used to detect brain-related problems in MRI images. However, conventional CNN is a complex architecture and the time to process the image, large data requirement and overfittin

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Intraoperative Neurophysiological Monitoringy members on suspecting illness. In Proactive care an individual seeks medical help before the appearance of symptoms in order to prevent illness, or detect and treat it early before the disease progresses or becomes chronic. There are advantages and disadvantages for both of these approaches. React

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Intraoperative Neurophysiological Monitoringd to classify images in various classifiers. This paper introduces the task of classifying Chest X-ray images with Machine Learning Classifiers and to see the impact of variations on the result of classification. For this purpose, second-order statistical features (GLCM texture features) are extract

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https://doi.org/10.1007/978-3-642-71595-2t or simply the Net. There were many flavors of the original Web like Web 2.0, Web 3.0, etc. All these versions of Web are different use-cases of the original Web, which is fundamentally Client-Server in nature. A client Web browser (or user-agent) makes a request for a document (or a transaction),

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