Читать книгу Industrial Internet of Things (IIoT). Intelligent Analytics for Predictive Maintenance онлайн

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 – ssss1 introduces a novel neural predictive classifier for improving the prediction rate of adverse drug reactions (ADRs), which is proposed to identify ADRs using the IoT.

 – ssss1 explains the impact that COVID-19 has had on the IIoT and gives an overview of IoT’s role in COVID-19, the benefits and challenges of the IIoT, and the effects of COVID-19 on industrial manufacturing and its impact on IoT-connected applications and digital transformation, and also the influence of COVID-19 on IoT application in general.

 – ssss1 paves the way for a comprehensive composite smart ambulance booking and tracking system using the IoT for digital services.

 – ssss1 discusses the increasing demand to solve health issues affecting the elderly, where the use of new IoT technology is completely changing their everyday lives, and promises to revolutionize modern healthcare by enabling a more personalized, preventive and collaborative form of care. Embedding devices with a cloud server and the sensor-cloud paradigm will give the elderly a more versatile facility. So, by analyzing security problems, such as authentication and data protection to protect the privacy of the elderly, an intelligent and safe health control system is proposed in this chapter with an IoT sensor focused on cloud storage and encryption.