Article name

Citation

Investigator

Article synopsis

Deep Learning Entrusted to Fog Nodes (DLEFN) Based Smart Agriculture.

[55]

(applied Science)

2020.

Implementing deep learning technique for choosing the useful information from a huge volume of multimedia data gathered by IOT devices in smart agriculture environment.

EdgeLens: Deep learning based Object Detection in Integrated IOT, Fog and Cloud Computing Environments.

[56]

(ISCON)

2019.

A deep learning-based fog cloud called EdgeLens, has been developed for real object detection. It generally aims to provide better quality for such IOT applications.

Internet of Things (IOT) Discovery Using Deep Neural Networks.

[57]

IEEE (WACV)

2020.

An IOT discovery approach that uses Deep Neural Network (DNN) based on object detection.

A Smart Blind Interaction System Using Deep Learning.

[58]

(IJARCCE)

2020.

An IOT interaction model that aims to allow user control the IOT device by using hand gesture, which transmitted as a command to the IOT platform. The model uses machine learning base gaze estimation and object detection technique to identify the selected device.