Results 51 to 60 of about 35,554 (200)
Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review
Sensors, 2022 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 currently in its initial stage of adopting full-stack development ...
Akseer Ali Mirani +3 more
doaj +1 more source
An Overview of Deep Learning Techniques for Big Data IoT Applications
International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
Biotechnology and Bioengineering, Volume 123, Issue 3, Page 564-581, March 2026.ABSTRACT The competition in the biopharmaceutical market is increasing due to the market entry of biosimilars and rising costs in research and development of new drugs. Hence, continuous manufacturing gained significant attention due to its potential in reducing production cycle times and costs, as well as the possibility of real‐time release testing ...
Mariana Carvalho +4 more
wiley +1 more source
Sensors, 2021 The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast communication protocols, and efficient cybersecurity mechanisms to improve industrial processes and applications.
Shahid Latif +6 more
doaj +1 more source
Towards In-Transit Analytics for Industry 4.0
, 2017 Industry 4.0, or Digital Manufacturing, is a vision of inter-connected services to facilitate innovation in the manufacturing sector. A fundamental requirement of innovation is the ability to be able to visualise manufacturing data, in order to discover ...
Ali, Muhammad +3 more
core +1 more source
Artificial Intelligence for Engineering, Volume 2, Issue 1, Page 67-77, March 2026.This paper proposes Block‐FairFL, a Trustworthy Federated Learning framework empowered by Blockchain, to address the dual challenges of security and fairness in deploying AI for industrial engineering. ABSTRACT The integration of artificial intelligence into the industrial Internet of Things is pivotal for predictive maintenance and autonomous control.
Hui Li
wiley +1 more source
A Blockchain-Based Secure Image Encryption Scheme for the Industrial Internet of Things
Entropy, 2020 Smart cameras and image sensors are widely used in industrial processes, from the designing to the quality checking of the final product. Images generated by these sensors are at continuous risk of disclosure and privacy breach in the industrial Internet
Prince Waqas Khan, Yungcheol Byun
doaj +1 more source
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
, 2018 The Industrial Internet of Things drastically increases connectivity of devices in industrial applications. In addition to the benefits in efficiency, scalability and ease of use, this creates novel attack surfaces.
Ahrens, Lia +3 more
core +1 more source
Industry 4.0: Horizontal Integration and Intellectual Property Law Strategies In England [PDF]
, 2018 Intellectual Property (IP) is increasingly recognised as a paramount intangible asset influencing the value of companies, as well as their corporate strategies and management.
Kauffman, Marcos Eduardo +1 more
core +2 more sources
Applied AI Letters, Volume 7, Issue 1, February 2026.Unlocking IIoT Potential with AI. ABSTRACT Artificial Intelligence (AI) is playing an increasingly vital role in the Industrial Internet of Things (IIoT), enabling predictive analytics, real‐time monitoring, and autonomous operations across industries such as manufacturing, logistics, and energy.
Tinashe Magara, Mampilo Phahlane
wiley +1 more source