Results 41 to 50 of about 2,536 (180)

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied 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, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +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, Vipin Balyan, Sindhu Hak Gupta   +2 more
wiley   +1 more source

Towards intelligent industrial systems: A comprehensive survey of sensor fusion techniques in IIoT

Measurement: Sensors
Industrial Internet of Things (IIoT) is systems aim to facilitate human monitoring and the direction of efficient production of goods in industrial settings by linking a wide variety of intelligent devices such as sensors, actuators, and controllers ...
Deepak sharma, Anuj kumar, Nitin Tyagi, Sunil S. Chavan, Syam Machinathu Parambil Gangadharan   +4 more
doaj   +1 more source

A Review on Quantitative Process Analytical Technology for Continuous Downstream Processing of Monoclonal Antibodies

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, Ana Cruz, Cees Haringa, Marcel Ottens, Marieke Klijn   +4 more
wiley   +1 more source

Trustworthy Federated Learning for Industrial IoT: Balancing Robustness and Fairness via Blockchain‐Based Reputation

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

Industrial Internet of Things (IIoT) of Forensic and Vulnerabilities

International Journal of Recent Technology and Engineering (IJRTE), 2020
The Industrial Internet-of-Things (IIoT) have changed the present world and future technology-based Industry 4.0, however the understanding of Industrial Internet of things (IIoT) has turned out to be big challenge as far as security concern. The main purpose of adopting and going with new technologies will bring new challenges with cybersecurity and ...
Venkata Venugopal Rao Gudlur*, Vikneswara Abirama Shanmugan, Sundresan Perumal, Radin Maya Saphira Radin Mohammed   +3 more
openaire   +1 more source

Unlocking IIoT Potential: A Systematic Review of AI Applications, Adoption Drivers, and Implementation Barriers

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

Driving Sustainable Innovation: A Review of Data‐Driven Technologies in Sustainable Business Model Innovation

Business Strategy and the Environment, Volume 35, Issue 1, Page 819-847, January 2026.
ABSTRACT Many companies use data‐driven technologies to drive sustainable business model innovation (BMI), yet often face challenges in doing so effectively. However, the literature at the intersection of data‐driven and sustainable BMI remains conceptually dispersed, limiting theoretical progress and practical application.
Nadine Bachmann, Rainer Harms, Katherine Gundolf, Tamara Oukes   +3 more
wiley   +1 more source

A survey of cyber attacks on blockchain based IoT systems for industry 4.0

IET Blockchain
The industry 4.0 revolution leads by technologies such as distributed digital ledgers, big data processing techniques, automation, and the internet of things (IoT). The interest in the industrial internet of things (IIoT) has progressed rapidly with huge
Aarju Dixit, Aditya Trivedi, W. Wilfred Godfrey   +2 more
doaj   +1 more source

Lean, Green, and Sustainability 4.0—A Systematic Literature Review

Business Strategy and the Environment, Volume 35, Issue 1, Page 1219-1238, January 2026.
ABSTRACT This purpose of the study is to conduct a systematic literature review and bibliometric analysis to explore the integration of Lean–Green–Sustainability (LGS) with Industry 4.0 technologies for holistic organizational development. Following PRISMA guidelines, the study critically examines the evolving research, identifying an increasing ...
Diogo Marques Vilaça, Jose Carlos de Sá, Jiju Antony, Michael Sony, Olivia McDermott   +4 more
wiley   +1 more source