Comparative study of IoT- and AI-based computing disease detection approaches
The emergence of different computing methods such as cloud-, fog-, and edge-based Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems for disease detection. Compared to other machine learning models, deep learning models have gained more attention from the re...
Saved in:
Main Authors: | Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co. Ltd.
2025-03-01
|
Series: | Data Science and Management |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666764924000377 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Location-aware job scheduling for IoT systems using cloud and fog
by: Xiaomo Yu, et al.
Published: (2025-01-01) -
Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing
by: Upma Arora, et al.
Published: (2025-04-01) -
A Verifiable and Secure Industrial IoT Data Deduplication Scheme With Real-Time Data Integrity Checking in Fog-Assisted Cloud Environments
by: Jakkarin Lapmoon, et al.
Published: (2025-01-01) -
An Autonomous Planning Model for Deploying IoT Services In Fog Computing
by: Mansoureh Zare, et al.
Published: (2024-02-01) -
On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture
by: Niroshinie Fernando, et al.
Published: (2025-01-01)