Resilience and resilient systems of artificial intelligence: taxonomy, models and methods

V Moskalenko, V Kharchenko, A Moskalenko… - Algorithms, 2023 - mdpi.com
Artificial intelligence systems are increasingly being used in industrial applications, security
and military contexts, disaster response complexes, policing and justice practices, finance …

[HTML][HTML] On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review

YF Zhao, J Xie, L Sun - Engineering, 2024 - Elsevier
Abstract Machine learning (ML) has recently enabled many modeling tasks in design,
manufacturing, and condition monitoring due to its unparalleled learning ability using …

Exploring the synergy of IIoT, AI, and data analytics in Industry 6.0

J Vijay Arputharaj, BNJ William… - Industry 6.0 …, 2024 - books.google.com
Industry 6.0 is more than just upgrading factories–it's about revolutionizing entire industries
by bringing in advanced technologies. These technologies work together to make informed …

Large scale foundation models for intelligent manufacturing applications: a survey

H Zhang, SD Semujju, Z Wang, X Lv, K Xu… - Journal of Intelligent …, 2025 - Springer
Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …

Bridging MDE and AI: a systematic review of domain-specific languages and model-driven practices in AI software systems engineering

S Rädler, L Berardinelli, K Winter, A Rahimi… - Software and Systems …, 2024 - Springer
Technical systems are becoming increasingly complex due to the increasing number of
components, functions, and involvement of different disciplines. In this regard, model-driven …

[HTML][HTML] Prediction of Mechanical Properties of 3D Printed Particle-Reinforced Resin Composites

K Rooney, Y Dong, AK Basak, A Pramanik - Journal of Composites …, 2024 - mdpi.com
This review explores fundamental analytical modelling approaches using conventional
composite theory and artificial intelligence (AI) to predict mechanical properties of 3D printed …

Research on talent cultivating pattern of industrial engineering considering smart manufacturing

X Zhang, C Li, Z Jiang - Sustainability, 2023 - mdpi.com
In-depth exploration of the theory and technological applications of smart manufacturing
(SM) is lacking in the current talent training model for industrial engineering (IE) majors, and …

ChatGPT-4 for hospitality: Implications

Ü Abdullah - Journal of Tourism & Gastronomy Studies, 2023 - jotags.net
The aim of this study is to examine the several applications of ChatGPT-4 for the hospitality
industry and to provide an agenda of research for investigating the potential implications of …

[PDF][PDF] Industry 5.0 in Manufacturing: Enhancing Resilience and Responsibility through AI-Driven Predictive Maintenance, Quality Control, and Supply Chain …

R Ejjami, K Boussalham - International Journal For Multidisciplinary …, 2024 - jngr5.com
This integrative literature review investigates the transformative impact of artificial
intelligence (AI) on manufacturing, focusing on AI-driven predictive maintenance, machine …

Enhancing manufacturing operations with synthetic data: a systematic framework for data generation, accuracy, and utility

V Buggineni, C Chen, J Camelio - Frontiers in Manufacturing …, 2024 - frontiersin.org
Addressing the challenges of data scarcity and privacy, synthetic data generation offers an
innovative solution that advances manufacturing assembly operations and data analytics …