Название: Big Data Management in Sensing: Applications in AI and IoTАвтор: Renny Fernandez, Terrance Frederick Fernandez
Издательство: River Publishers
Год: 2021
Страниц: 288
Язык: английский
Формат: pdf (true)
Размер: 57.5 MB
The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.
The Internet of Things (IoT) and Machine Learning (ML) are commonly used in the field of medical diagnostics and health care to monitor a patient’s condition. The IoT has been used to create systems that use the functionality of a wearable series of sensors to warn patients in the event of an abnormality. ML has assisted medical diagnosis by using models that are designed to detect anomalies within a patient’s condition. Health professionals and patients benefit from the use of IoT technology because they have access to the latest up-to-date medical device settings. Furthermore, medical applications are mostly interested in IoT to minimize costs, simplify processes, and improve patient satisfaction. The increasing amount of medical information provided by the IoT is used for improving results for the patient by ML approaches in health care. These methods offer both exciting applications and significant challenges. In this book, the developments of several applications using IoT and ML in healthcare are discussed, along with the use of 5G technology and cloud computing to manage the smart healthcare system.
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