… methods such as deep learning (DL). Notably, DL algorithms, when applied to the Industrial
IoT (… using denoising autoencoder neural network,” IEEE Internet Things J., vol. 6, no. 2, pp. …

… deep learning (DL) techniques for IIoT in smart cities, mainly deep reinforcement learning,
recurrent neural networks, … in-situ machine learning,” IEEE Internet Things J., vol. 6, no. 1, pp. …

… deep learning technique to classify different industrial components. We focus on offloading
the deep learning … the cognitive Internet of Things,” IEEE Internet Things J., vol. 5, no. 4, pp. …

The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of data …

… of deep learning (DL) techniques and applications for the Industrial Internet of Things (IIoT).
A brief introduction is presented in the context of DL deployments for industrial applications …

… industrial revolution, interconnected devices and sensors generate large-scale, dynamic, and
inharmonious data in Industrial Internet of Things (… , an ensemble deep learning model that …

… malware attacks on the Industrial Internet of Things (MD-IIOT). … image visualization and deep
convolution neural network. The … of previous machine learning and deep learning methods. …

… We propose a hybrid intelligent Deep Learning (DL) mechanism to secure IIoT infrastructure
from lethal and sophisticated multi-variant botnet attacks. The proposed mechanism has …

… Recently, industrial Internet of things becomes more popular and it involves a group of …
Deep learning, for instance, convolutional neural network (CNN) has gained more attention …

… set of the Industrial Internet of Things publicly … Industrial Internet of Things. Compared with
the existing intrusion detection system based on deep learning or deep reinforcement learning…