Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …
technologies, which promise to realize lean and just-in-time production through digitization …
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Abstract Deep Transfer Learning (DTL) is a new paradigm of machine learning, which can
not only leverage the advantages of Deep Learning (DL) in feature representation, but also …
not only leverage the advantages of Deep Learning (DL) in feature representation, but also …
[HTML][HTML] Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach
Artificial intelligence (AI) is playing a leading role in the digital transformation of enterprises,
particularly in the manufacturing industry where it has been responsible for a profound …
particularly in the manufacturing industry where it has been responsible for a profound …
Design of a smart factory based on cyber-physical systems and Internet of Things towards Industry 4.0
The rise of Industry 4.0, which employs emerging powerful and intelligent technologies and
represents the digital transformation of manufacturing, has a significant impact on society …
represents the digital transformation of manufacturing, has a significant impact on society …
Can enterprise green technology innovation performance achieve “corner overtaking” by using artificial intelligence?—Evidence from Chinese manufacturing …
H Tian, L Zhao, L Yunfang, W Wang - Technological Forecasting and Social …, 2023 - Elsevier
To examine the impact of the application of artificial intelligence on the green technology
innovation performance of enterprises, a multi-period difference-in-differences model was …
innovation performance of enterprises, a multi-period difference-in-differences model was …
Human-centric artificial intelligence architecture for industry 5.0 applications
Human-centricity is the core value behind the evolution of manufacturing towards Industry
5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and …
5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and …
The pathway to curb greenwashing in sustainable growth: The role of artificial intelligence
D Zhang - Energy Economics, 2024 - Elsevier
Artificial Intelligence (AI) can improve production efficiency and general quality of life
through assisting human labor, potentially leading to the conversion of employment types …
through assisting human labor, potentially leading to the conversion of employment types …
[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …
conducted a comprehensive analysis of 344 eligible journal papers published between …
[HTML][HTML] AI-driven business model innovation: A systematic review and research agenda
Recent years have seen a surge in research on artificial intelligence (AI)-driven business
model innovation (BMI), reflecting its profound impact across industries. However, the field's …
model innovation (BMI), reflecting its profound impact across industries. However, the field's …
Human–robot collaborations in smart manufacturing environments: review and outlook
The successful implementation of Human–Robot Collaboration (HRC) has become a
prominent feature of smart manufacturing environments. Key industrial requirements, such …
prominent feature of smart manufacturing environments. Key industrial requirements, such …