Industrial needs in the fields of artificial intelligence, internet of things and edge computing
Industry 4.0 corresponds to the Fourth Industrial Revolution, resulting from technological
innovation and research multidisciplinary advances. Researchers aim to contribute to the …
innovation and research multidisciplinary advances. Researchers aim to contribute to the …
Complementary use of ground-based proximal sensing and airborne/spaceborne remote sensing techniques in precision agriculture: A systematic review
A Alexopoulos, K Koutras, SB Ali, S Puccio, A Carella… - Agronomy, 2023 - mdpi.com
As the global population continues to increase, projected to reach an estimated 9.7 billion
people by 2050, there will be a growing demand for food production and agricultural …
people by 2050, there will be a growing demand for food production and agricultural …
A novel attack detection scheme for the industrial internet of things using a lightweight random neural network
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …
applications, databases, services, and people at work. The IIoT is improving our lives in …
An advanced intrusion detection system for IIoT based on GA and tree based algorithms
SM Kasongo - IEEE Access, 2021 - ieeexplore.ieee.org
The evolution of the Internet and cloud-based technologies have empowered several
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …
[HTML][HTML] Upgrading the manufacturing sector via applications of Industrial Internet of Things (IIoT)
Now a day's manufacturing has become more intelligent and data-driven. A smart
production unit can be thought of as a powerful connected industrial system with materials …
production unit can be thought of as a powerful connected industrial system with materials …
Deep learning based energy efficient optimal RMC-CNN model for secured data transmission and anomaly detection in industrial IOT
KS Sankaran, BH Kim - Sustainable Energy Technologies and …, 2023 - Elsevier
As we know that the generated data from the million sensors in Industrial Internet of Things
(IIoT) is tremendously heterogeneous, large, & dynamic. This, in turn, poses a significant …
(IIoT) is tremendously heterogeneous, large, & dynamic. This, in turn, poses a significant …
DRaNN: A deep random neural network model for intrusion detection in industrial IoT
Industrial Internet of Things (IIoT) has arisen as an emerging trend in the industrial sector.
Millions of sensors present in IIoT networks generate a massive amount of data that can …
Millions of sensors present in IIoT networks generate a massive amount of data that can …
Artificial Immune Systems approaches to secure the internet of things: A systematic review of the literature and recommendations for future research
Abstract As the Internet of Things (IoT) recently attains tremendous popularity, this promising
technology leads to a variety of security challenges. The traditional solutions do not fit the …
technology leads to a variety of security challenges. The traditional solutions do not fit the …
Digital twin oriented architecture for secure and QoS aware intelligent communications in industrial environments
In modern networking industrial environments, characterized by the integration of Operation
Technology and Information Technology, there is a strong need to ensure both safety and …
Technology and Information Technology, there is a strong need to ensure both safety and …
Industrial internet of things intrusion detection method using machine learning and optimization techniques
The emergence of the Internet of Things (IoT) has witnessed immense growth globally with
the use of various devices found in home, transportation, healthcare, and industry. The …
the use of various devices found in home, transportation, healthcare, and industry. The …