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Edge computing with artificial intelligence: A machine learning perspective
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …
providing sufficient data for model training and inference, IoT has promoted the development …
Predictive maintenance in the Industry 4.0: A systematic literature review
Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …
managers are daily confronted with decision making involving a massive input of data and …
Enabling technologies and tools for digital twin
Digital twin is revolutionizing industry. Fired by sensor updates and history data, the
sophisticated models can mirror almost every facet of a product, process or service. In the …
sophisticated models can mirror almost every facet of a product, process or service. In the …
Towards edge computing in intelligent manufacturing: Past, present and future
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation
The smart manufacturing systems (SMS) offer several advantages compared to the
traditional manufacturing systems and are increasingly being adopted by manufacturing …
traditional manufacturing systems and are increasingly being adopted by manufacturing …
A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs)
The objective of this paper is to critically review currently available Smart Manufacturing
(SM) and Industry 4.0 maturity models, and analyze their fit recognizing the specific …
(SM) and Industry 4.0 maturity models, and analyze their fit recognizing the specific …
Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects
Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …
significant attention in professional manufacturing. This trend originates from the rising …
Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects
The recent advancements in the fields of artificial intelligence (AI) and machine learning
(ML) have affected several research fields, leading to improvements that could not have …
(ML) have affected several research fields, leading to improvements that could not have …
Data-driven smart manufacturing
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …
Deep learning for smart manufacturing: Methods and applications
Smart manufacturing refers to using advanced data analytics to complement physical
science for improving system performance and decision making. With the widespread …
science for improving system performance and decision making. With the widespread …