Abstract
Internet of Everything (IoE) and Internet of Nano Technology (IoNT) are the most prominently distributed knowledge over reviews on current trends. Nanoparticles communicating in the perceiving and propagating end cause AI and NLP usage in a better manner. IoNT is used as the medical smart watch calorimeter and pulse rate instrumentation. A sensor of IoE category is used in the mobile devices to accurately provide the alert on calorimeter results and pulse sensed. Voice-based results are gained with the help of AI and NLP. The fuzzy expert system is used to decide on the perceptions received by IoNT devices. Human intelligence is incorporated to further query on installation of food diet control mobile applications in the registry of the programmable devices. There is a strong interest to use social networking to enhance the communications among different IoT things. A new paradigm, named Social Internet of Things (SIoT), was recently proposed. Health-problem-specific solutions are extracted from the social networking blogs for solutions in the recent era. Solutions referred and improvement are recorded for recommendations as a social network post with the concerned proprietary owner permission and rights.
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Aiswaryadevi, V.J. et al. (2021). Artificial Intelligence and IoT Framework for the Health Monitoring System. In: Manoharan, K.G., Nehru, J.A., Balasubramanian, S. (eds) Artificial Intelligence and IoT. Studies in Big Data, vol 85. Springer, Singapore. https://doi.org/10.1007/978-981-33-6400-4_3
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DOI: https://doi.org/10.1007/978-981-33-6400-4_3
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