Fog Big Data Analysis for IoT Sensor Application Using Fusion Deep Learning

Table 1

Key differences between deep learning techniques based on Fog big data analysis for IoT sensor application.

S. no.	Citation	Deep learning technique	Big data analysis	IoT sensor application	Highlights
1	[18]	Fine-tuning AlexNet	Image data processing	Geologic hazards	Determining the state of the landslide
2	[19]	Deep learning regression prediction model	Features of the sites to be assessed in terms of signal strength	Wearable device	Deep learning-based indoor locating algorithm for wearable devices
3	[20]	Mixed-data design	Fog error compensation	Analysis of error theory	Optimization techniques for error compensation
4	[21]	Intelligent mapping algorithm	Principles of Fog and edge computing	IoT data-intensive processes can be automated	IoT data-intensive processes can be automated
5	[22]	Smart algorithm	Edge, Fog, and cloud IoT devices’ processing data	Streaming IoT data	Smart parking system based on IoT in the real world