Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
… 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. …
IoT (… using denoising autoencoder neural network,” IEEE Internet Things J., vol. 6, no. 2, pp. …
Identification of malicious activities in industrial internet of things based on deep learning models
… 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 …
… This is the motivation of utilizing deep learning models in this study, due to their ability of the …
Toward edge-based deep learning in industrial Internet of Things
… 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 deep learning … the cognitive Internet of Things,” IEEE Internet Things J., vol. 5, no. 4, pp. …
Industrial internet-of-things security enhanced with deep learning approaches for smart cities
N Magaia, R Fonseca, K Muhammad… - … Internet of Things …, 2020 - ieeexplore.ieee.org
… 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. …
recurrent neural networks, … in-situ machine learning,” IEEE Internet Things J., vol. 6, no. 1, pp. …
Machine learning and deep learning algorithms on the Industrial Internet of Things (IIoT)
P Ambika - Advances in computers, 2020 - Elsevier
… 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 …
on Industrial Internet of Things. This chapter also delves use cases where machine learning …
A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms
… 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 …
However, the existing industrial … predicted by applying a deep learning model. The various …
Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection
JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
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 …
and services to physical systems. The IIoT has been used to generate large quantities of data …
Fast and accurate deep learning framework for secure fault diagnosis in the industrial internet of things
… 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 …
learning the machine learning … diagnosis, and a deep learning model to detect different faults …
Machine learning for massive industrial internet of things
… 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 …
reinforcement learning techniques, respectively, to validate the effectiveness of machine learning in …
Machine and deep learning amalgamation for feature extraction in Industrial Internet-of-Things
… 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 …
algorithms and deep learning feature extraction methods. We test these features with deep learning …
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