Key challenges and emerging technologies in industrial IoT architectures: A review
AA Mirani, G Velasco-Hernandez, A Awasthi, J Walsh - Sensors, 2022 - mdpi.com
The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring,
intelligent analytics, and control of industrial processes. However, as the industrial world is …
intelligent analytics, and control of industrial processes. However, as the industrial world is …
Integration of scada and industrial iot: Opportunities and challenges
A Nechibvute, HD Mafukidze - IETE Technical Review, 2024 - Taylor & Francis
SCADA systems are used in industries to perform control and monitoring of industrial
processes in real-time. The advent of the Internet of Things (IoT), and the Industrial IoT (IIoT) …
processes in real-time. The advent of the Internet of Things (IoT), and the Industrial IoT (IIoT) …
Acs: Accuracy-based client selection mechanism for federated industrial iot
This study proposes secure federated learning (FL)-based architecture for the industrial
internet of things (IIoT) with a novel client selection mechanism to enhance the learning …
internet of things (IIoT) with a novel client selection mechanism to enhance the learning …
Federated learning inspired low-complexity intrusion detection and classification technique for sdn-based industrial cps
Unauthorized users may attack centralized controllers as an attractive target in software-
defined networking (SDN)-based industrial cyber-physical systems (CPS). Managing high …
defined networking (SDN)-based industrial cyber-physical systems (CPS). Managing high …
Disco: Distributed computation offloading framework for fog computing networks
H Tran-Dang, DS Kim - Journal of Communications and …, 2023 - ieeexplore.ieee.org
Fog computing networks have been widely integrated in IoT-based systems to improve the
quality of services (QoS) such as low response service delay through efficient offloading …
quality of services (QoS) such as low response service delay through efficient offloading …
Internet of Things (IoT)-Based Technologies for Reliability Evaluation with Artificial Intelligence (AI)
This chapter enables the targeted troubleshooting and remediation of IoT-based technology
with AI. Reliability modeling is another key AI application in IoT. By analyzing historical data …
with AI. Reliability modeling is another key AI application in IoT. By analyzing historical data …
An intelligent inspection method for body-in-white weld quality based on vibration excitation response signals
Z Xi, J Zhou, B Yang, Y Zhang, Z Zhang, D Li - Measurement, 2024 - Elsevier
To enhance the assembly quality in Body-in-White (BIW) assembly, this paper proposes an
intelligent detection method for the nugget quality of Resistance Spot Weld (RSW) based on …
intelligent detection method for the nugget quality of Resistance Spot Weld (RSW) based on …
Fdpr: A novel fog data prediction and recovery using efficient dl in iot networks
MAP Putra, AP Hermawan… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The goal of this study is to offer a novel fog data prediction and recovery (FDPR) algorithm
that uses deep learning (DL) to forecast and recover missing sensor data in an Internet of …
that uses deep learning (DL) to forecast and recover missing sensor data in an Internet of …
Resource allocation in downlink VLC-NOMA systems for factory automation scenario
Industry 4.0 requires high-speed data exchange that includes fast, reliable, low-latency, and
cost-effective data transmissions. As visible light communication (VLC) can provide reliable …
cost-effective data transmissions. As visible light communication (VLC) can provide reliable …
[HTML][HTML] Low computational cost convolutional neural network for smart grid frequency stability prediction
In the smart grid, it is critical to collect dynamic and time-dependent information on energy
demand and consumption and compare it to current supply conditions. The decentral smart …
demand and consumption and compare it to current supply conditions. The decentral smart …