A Conceptual Framework for Localization of Active Sound Sources in Manufacturing Environment Based on Artificial Intelligence

Jalayer, Reza; Jalayer, Masoud; Orsenigo, Carlotta; Vercellis, Carlo

doi:10.1007/978-3-031-38241-3_78

Lecture Notes in Mechanical Engineering

2023

DOI: 10.1007/978-3-031-38241-3_78

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A Conceptual Framework for Localization of Active Sound Sources in Manufacturing Environment Based on Artificial Intelligence

Reza Jalayer,

Masoud Jalayer,

Carlotta Orsenigo

et al.

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2024

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Cited by 2 publications

References 23 publications

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ConvLSTM-based Sound Source Localization in a manufacturing workplace

Jalayer,

Mor

et al. 2024

Computers & Industrial Engineering

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ConvLSTM-based Sound Source Localization in a manufacturing workplace

Jalayer,

Mor

et al. 2024

Computers & Industrial Engineering

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Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis

Espina-Romero,

Gutiérrez Hurtado,

Ríos Parra

et al. 2024

Sci

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This study explores the evolution and impact of research on the challenges and opportunities in the implementation of artificial intelligence (AI) in manufacturing between 2019 and August 2024. By addressing the growing integration of AI technologies in the manufacturing sector, the research seeks to provide a comprehensive view of how AI applications are transforming production processes, improving efficiency, and opening new business opportunities. A bibliometric analysis was conducted, examining global scientific production, influential authors, key sources, and thematic trends. Data were collected from Scopus, and a detailed review of key publications was carried out to identify knowledge gaps and unresolved research questions. The results reveal a steady increase in research related to AI in manufacturing, with a strong focus on automation, predictive maintenance, and supply chain optimization. The study also highlights the dominance of certain institutions and key authors driving this field of research. Despite the progress, significant challenges remain, particularly regarding the scalability of AI solutions and ethical considerations. The findings suggest that while AI holds considerable potential for the manufacturing industry, more interdisciplinary research is needed to address existing gaps and maximize its benefits.

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A Conceptual Framework for Localization of Active Sound Sources in Manufacturing Environment Based on Artificial Intelligence

Cited by 2 publications

References 23 publications

ConvLSTM-based Sound Source Localization in a manufacturing workplace

ConvLSTM-based Sound Source Localization in a manufacturing workplace

Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis

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