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On the application of process management and process mining to Industry 4.0
The continuous evolution of digital technologies applied to the more traditional world of industrial automation led to Industry 4.0, which envisions...
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AI and IoT in Manufacturing and Related Security Perspectives for Industry 4.0
The impact of artificial intelligence (AI) in the manufacturing sector gives a game changing environment in industries. Every manufacturer aims to...
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TAI-PRM: trustworthy AI—project risk management framework towards Industry 5.0
Artificial Intelligence (AI) is increasingly being used in manufacturing to automate tasks and process data, leading to what has been termed...
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A Survey of Digital Twin for Industry 4.0: Benefits, Challenges and Opportunities
Manufacturing processes are becoming increasingly digital. As this trend unfolds, many companies often struggle to determine what they should be...
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Enhancing sustainable 5G powered agriculture 4.0 : Summary of low power connectivity, internet of UAV things, AI solutions and research trends
Emerging technologies of Agriculture 4.0 such as the Internet of Things (IoT), Cloud Computing, Artificial Intelligence (AI), and 5G network services...
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Evaluating the latest trends of Industry 4.0 based on LDA topic model
This study employs the Latent Dirichlet allocation method, a topic modeling technique, to reveal hidden patterns in Industry 4.0 research. The...
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Evaluating the acceptability of ethical recommendations in industry 4.0: an ethics by design approach
In this paper, we present the methodology we used in the European Horizon 2020 AI-PROFICIENT project, to evaluate the implementation of the ethical...
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Evolution of Industry 4.0 and Its Fundamental Characteristics
Industry 4.0 evolved as a modern and advanced industrial foundation by the proper integration of the old and/or new technologies to provide digital...
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Industry 5.0: improving humanization and sustainability of Industry 4.0
The widespread digitization and dynamic development of the technologies of the fourth industrial revolution, leading to the dehumanization of...
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A real-time semantic based approach for modeling and reasoning in Industry 4.0
In the rapidly evolving landscape of Industry 4.0, the transformation of manufacturing processes is driven by the seamless integration and...
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Creative bits: challenges of applying industry 4.0 in digital creative industries
Creative industries are one of the sectors that have been significantly impacted by the emergence of Fourth Industrial Revolution technologies. These...
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AI-based smart agriculture 4.0 system for plant diseases detection in Tunisia
Plant diseases pose a significant problem for agricultural sustainability, notably reducing crop quality and yield. Addressing this challenge, this...
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An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework
Industry 4.0 enable novel business cases, such as client-specific production, real-time monitoring of process condition and progress, independent...
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IoT-Inspired Education 4.0 Framework for Higher Education and Industry Needs
Education 4.0 provide strong talents for Industry 4.0. To better meet the needs of enterprises for talents, higher education needs to formulate...
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PIS: IoT & Industry 4.0 Challenges
In the era of Industry 4.0, digital manufacturing is evolving into smart manufacturing. This evolution impacts companies in three main areas:...
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Smart camera with image encryption: a secure solution for real-time monitoring in Industry 4.0
Industry 4.0 standards have been widely adopted by most industries, encompassing remote monitoring for workplace safety, logistics, asset monitoring,...
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Artificial intelligence and real-time predictive maintenance in industry 4.0: a bibliometric analysis
The purpose of this article is to study the issues of industrial maintenance, one of the critical drivers of Industry 4.0 (I4.0), which has...
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From the ground up: develo** a practical ethical methodology for integrating AI into industry
In this article we present a new approach to practical artificial intelligence (AI) ethics in heavy industry, which was developed in the context of...
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Enhanced time-sensitive networking configuration detection using optimized BPNN with feature selection for industry 4.0
With the advancement of Industry 4.0, Time-Sensitive Networking (TSN) has become essential for ensuring prompt and reliable data transmission. As an...
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Integration of IoT and Industry 4.0: Revolutionizing Industrial Processes
Integrating the Internet of Things (IoT) and Industry 4.0 has revolutionized industrial processes, creating innovative, more efficient, productive,...