Titlebook: Artificial Intelligence in Internet of Things (IoT): Key Digital Trends; Proceedings of 8th I Frank Lin,David Pastor,Chaitali Koley Confere

CLAN

diathermy

小淡水魚

投射

https://doi.org/10.1007/978-3-031-18038-5 of machine-to-machine classification based on communication over a network pattern as well as a scrutinized pattern. In this study researcher further studied existing home network projects to better understand how these systems are used in the real world. This study will assist in improving the und

吸引人的花招

Gloria Kirwan,Antonio López Peláezrmance evaluation of SVNNs is conducted through a rigorous assessment against historical drought events, further accentuated by a comparison against conventional methods. To expand the scope, the integration of remote sensing data enriches the models with comprehensive spatiotemporal insights, enhan

礦石

Naama Friedmann,Manar Haddad-Hannal the operation of lights and fans and also enable a security feature in the form of telegram bot. Experimental results emphasize that the deep learning-based recognition can detect the persons in a particular area with an accuracy of 96% and 99% in dark and bright areas conditions, respectively.

射手座

Compatriot

Elinor Saiegh-Haddad,Roni Henkin-Roitfarbtrasonic sensor and nodeMCU connected to the Internet. BLYNK IoT Android app has already been used to send the notification via Android Application. The remote healthcare monitoring system is also proposed with cloud service and data analytics as to the aiding features. The readings are captured by