Smart Health Solution Integrating IoT and Cloud: A Case Study of Voice Pathology Monitoring
By Muhammad Ghulam, Sk. Md. Mizanur Rahman, Abdulhameed Alelaiwi, Atif M. Alamri. 2017
192 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- H. Hua
- Ala Al-Fuqaha
- Junwei Cao
- Mohsen Guizani
- Sameh Sorour
- Atif M. Alamri
- Nanqing Dong
- M. Mohammadi
In Computer Networks and Communications
In Electrical and Electronic Engineering
Citations in the corpus
- Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “Healthcare [59], [103], [104], [106] [105]”
- Smart healthcare monitoring: a voice pathology detection paradigm for smart cities (2017, background): “[38] proposed a voice pathology assessment framework integrating the IoT and the cloud.”
- Internet of Medical Things (IOMT): Applications, Benefits and Future Challenges in Healthcare Domain (2017, background): “Finally he also suggested a new framework can be proposed to tackle the huge data using cloud technology [34].”
- Edge Computing with Artificial Intelligence: A Machine Learning Perspective (2022, methodology): “Compared with the method without EC architecture in [134], this method has lower latency and can efectively reduce the pressure on network bandwidth.”