… 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. …

… From the discussion above, it is observed that deep learning techniques could considerably
… This is the motivation of utilizing deep learning models in this study, due to their ability of the …

… 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. …

… 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. …

… about Machine learning and deep learning techniques, popular algorithms, and their impact
on Industrial Internet of Things. This chapter also delves use cases where machine learning …

… industrial growth, the industrial internet of things (IIoT) and many IoT avenues have emerged.
However, the existing industrial … predicted by applying a deep learning model. The various …

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 …

… rates of late using data mining and deep learning [13]–[15]. … convolution neural networks in
learning the machine learning … diagnosis, and a deep learning model to detect different faults …

… We further present the existing machine learning … on deep neural network and deep
reinforcement learning techniques, respectively, to validate the effectiveness of machine learning in …

… of machine and deep learning techniques for Industrial Internet of … machine learning
algorithms and deep learning feature extraction methods. We test these features with deep learning …