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. |