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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

A Comprehensive Study of Smart Manufacturing Using Industry 4.0 Technologies

Mr. Rahul Ghotkar, Ms. Amisha Malviya, Mr. Rahul Khobragade

The manufacturing industry is undergoing a significant transformation driven by rapid advancements in digital technologies, automation, artificial intelligence, and interconnected production systems. Traditional manufacturing methods, which primarily depend on manual operations a…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Theoretical Framework, Perception Mechanisms, and Application Prospects of Crop Resource Perception Science in Smart Agriculture

Jincheng Zhang

With the intensifying pressure of global climate change and resource constraints, the transition of traditional agriculture toward highly efficient, precise, and sustainable smart agriculture has become an inevitable trend. As the absolute core of agricultural production, crops p…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

# Artificial Intelligence in Metallurgical Engineering: A Comprehensive Review of Applications, Challenges, and Future Direction

Sudhakar Geruganti

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Transformation in Metallurgical Engineering: From Microstructure Analysis to Smart Manufacturing and Sustainable Production"** ### Alternative Title 2 (Process-Focused)**"Machine Learning and Deep Learning…

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openalexJournal of Digital Management2026-07-24

Value creation and value capture in the smart hardware platform: a case study of Huawei and Xiaomi

Yongjian Li, Xiaoming Zhao, Xinrui Zhang

Abstract With the rapid development of technology and the diversification of market demand, the smart hardware platform has rapidly emerged. How to effectively realize the value creation and value capture in the platform has become a key issue of make-or-break. For the purpose, t…

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crossrefSustainability2025-03-03Cited by 3

A Multi-Trigger Mechanism Design for Rescheduling Decision Assistance in Smart Job Shops Based on Machine Learning

Rong Duan, Siqi Wang, Ya Liu, Wei Yan, Zhigang Jiang, Zhiqiang Pan

The empowerment of lean intelligent manufacturing technologies has provided a solid foundation for enterprises to achieve a balance between economic benefits and sustainable development. In production workshops, various disruptive factors, especially in multi-variety small-batch…

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crossrefICST Transactions on Scalable Information Systems2026-07-21

Human-Centric Smart Manufacturing under Industry 5.0:IIoT-Enabled Machine Learning for Real-Time Fault Identification and Adaptive Workforce Scheduling<b></b>

Yaocong Yaocong Xie, Ning Wang

This study addresses Industry 5.0's demand for human-machine collaboration and manufacturing resilience by developing machine learning models for rapid fault identification and adaptive personnel scheduling. When a production-line fault occurs, the proposed approach uses IIoT dat…

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