IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges IOT, Data Science and Artificial Intelligence Technologies /

Библиографические подробности
Автор-организация:	SpringerLink (Online service)
Другие авторы:	Singh, Pradeep Kumar (Редактор), Wierzchoń, Sławomir T. (Редактор), Pawłowski, Wiesław (Редактор), Kar, Arpan Kumar (Редактор), Kumar, Yugal (Редактор)
Примечания:	XI, 391 p. 128 illus., 106 illus. in color. text
Язык:	английский
Опубликовано:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Издание:	1st ed. 2023.
Серии:	Studies in Computational Intelligence, 1104
Предметы:	Engineering > Data processing. Cooperating objects (Computer systems). Big data. Computational intelligence. Data Engineering. Cyber-Physical Systems. Big Data. Computational Intelligence.
Online-ссылка:	https://doi.org/10.1007/978-3-031-35783-1
Формат:	Электронный ресурс Книга

Оглавление:

Hybrid Compression Technique with Region of Interest for Medical Images in Wireless Sensor Networks
Exploring IoT Applications in Industry 4.0 – Insights from Review of Literature
Clustering IoT data using Machine Learning Methods: A Survey
Towards the Improvement of Personalized Music Recommendation System using Deep Learning Techniques
The Significance of IoT and Deep Learning in Activity Recognition
Intelligent Monitoring of Disinfectants.

Схожие документы