Titlebook: Advanced Network Technologies and Intelligent Computing; Second International Isaac Woungang,Sanjay Kumar Dhurandher,Pradeepika Conference

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Overviews on phospholipid methylationlness categorization based on inhaling and gasping sounds is still a work in progress in the scientific area. Respiratory illnesses have a high fatality rate among some of the chronic diseases. Early identification of respiratory disorders is critical for lowering death rates and curing illness. The

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https://doi.org/10.1007/978-1-4615-4313-8 requires specialised personnel. In addition, very little research is available on images of cassava leaves taken with mobile phones and under field conditions. Therefore, the study designs deep learning models for the detection of diseases in cassava leaves from photos taken with mobile phones in t

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https://doi.org/10.1007/978-1-4615-4313-8traction systems. Several text-based image processing systems have been introduced to date for different applications. However, they are limited to character recognition, word extraction, profiling, and script and language recognition. The proposed document classification and information extraction

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https://doi.org/10.1007/978-1-4615-4311-4on traffic management in the country’s major cities and towns. As a result, Automatic Vehicle licence Plate Recognition (AVLPR) is an interesting and crucial area of research in the Intelligent Transportation System (ITS), particularly because it may need to operate in real time. To address this cha

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https://doi.org/10.1007/978-94-009-8706-7lood pressure (HBP). If HBP is not noticed and treated at an early level, it may lead to life-threatening issues. The design and development of machine learning models (MLM), to predict HBP in advance based on bio-psychological factors is gaining the attention of people. MLM is assisting medical doc

英寸

The pathogenesis of schizophreniadiac structure and function that becomes helpful in a significant measure of eight standard echo views, namely A2C, A3C, A4C, A5C, PLAX, PSAA, PSAP, PASM of the Cardiac cycle, and also identifies the disorders. In this research, we introduce a vision model for echo analysis with a deep convolutional

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