Machine learning in predictive maintenance towards sustainable smart manufacturing in industry 4.0
Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …
Cloud based manufacturing: A review of recent developments in architectures, technologies, infrastructures, platforms and associated challenges
Abstract Service-provider industries have used cloud-based technologies in recent years.
Information technology (IT) led the development of electronic hardware and software …
Information technology (IT) led the development of electronic hardware and software …
A new quantitative digital twin maturity model for high-end equipment
Digital twins (DTs) have shown great potential in both academia and industry due to their
ability to interconnect and integrate physical and virtual worlds. A DT maturity model for high …
ability to interconnect and integrate physical and virtual worlds. A DT maturity model for high …
[HTML][HTML] Can Industry 4.0-enabled smart manufacturing help firms in emerging economies move toward carbon-neutrality?
The manufacturing industry plays a pivotal role in the economic growth of all countries. Most
manufacturing firms consume large amounts of energy and fail to adopt sustainable …
manufacturing firms consume large amounts of energy and fail to adopt sustainable …
Natural Language Processing Approaches in Industrial Maintenance: A Systematic Literature Review
Industrial maintenance plays a crucial role in manufacturing by significantly reducing
machine failure time and minimizing costs, especially in the revolution of Industry 4.0 …
machine failure time and minimizing costs, especially in the revolution of Industry 4.0 …
Cycle detection and clustering for cyber physical systems
In this paper we present our work on cycle detection and clustering using unsupervised
Machine Learning methods on manufacturing data. First we discuss the overall architecture …
Machine Learning methods on manufacturing data. First we discuss the overall architecture …
Design and Optimization of Automated Storage and Retrieval Systems: A Review
Abstract Automated Storage and Retrieval Systems (AS/RS) are warehouses, specifically
designed for material handling in modern manufacturing systems and are extensively …
designed for material handling in modern manufacturing systems and are extensively …
Role of Big Data, AI and Deep Learning in Medical Image Training Models and Decision Support System Using I4. 0 Technologies
K Bhatt, SM Kumar - EAI International Conference on IoT Technologies for …, 2023 - Springer
The area of diagnostic decision assistance in radiology is going through a rapid shift with the
availability of a lot of patient information and the advancement of new AI (Artificial …
availability of a lot of patient information and the advancement of new AI (Artificial …