Results 71 to 80 of about 21,750 (271)

A Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

open access: yesEngineering Reports, Volume 8, Issue 7, July 2026.
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa   +2 more
wiley   +1 more source

Implementing Industry 4.0 in Steel Manufacturing’s Evolving IIoT Systems [PDF]

open access: yes, 2021
Early guidance is required to match Industry 4.0 ambitions with an understanding of the evolving Industrial Internet of Things (IIoT) system and its capabilities.
Jagers, Simon   +3 more
core   +1 more source

An artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems

open access: yesJournal of Cloud Computing, 2023
The Industrial Internet of Things (IIoT) promises to deliver innovative business models across multiple domains by providing ubiquitous connectivity, intelligent data, predictive analytics, and decision-making systems for improved market performance ...
Shitharth Selvarajan   +6 more
semanticscholar   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang   +3 more
wiley   +1 more source

CAPABILITIES FOR DATA ANALYTICS IN INDUSTRIAL INTERNET OF THINGS (IIOT)

open access: yes, 2023
The use of Industrial Internet of Things (IIoT) technologies in various industrial sectors has resulted in the generation of large volumes of data that can be analyzed using analytics tools to improve firm performance.
Bagheri, Samaneh, Dijkstra, Jesse
core   +3 more sources

Smart Link Adaptation and Scheduling for IIoT

open access: yesIEEE Networking Letters, 2022
A machine learning enabled link adaption (LA) and scheduling framework is presented for industrial Internet of things (IIoT), leveraging quasi-periodicity of traffic in IIoT. The following steps are introduced: i) a reduced complexity link establishment accounting jointly for beamforming and load management; ii) interference prediction using long short-
Miroslav Mitev   +5 more
openaire   +2 more sources

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

open access: yesDeep Underground Science and Engineering, Volume 5, Issue 2, Page 506-538, June 2026.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza   +3 more
wiley   +1 more source

An Approach for Designing and Developing Microservices-enabled Manufacturing Operations Management in Greenfield Environments

open access: yesProceedings of the Conference on Production Systems and Logistics, 2022
Microservices are a special type of service-oriented architecture that promises flexibility through the encapsulation of functionality and lose coupling.
Oberle, Michael   +6 more
doaj   +1 more source

The Business Impact of IIoT Vulnerabilities.

open access: yes, 2021
QC ...
Ebbers, Frank   +2 more
openaire   +2 more sources

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

open access: yeseFood, Volume 7, Issue 3, June 2026.
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar   +9 more
wiley   +1 more source

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