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Journal of Intelligent Manufacturing
Scopus
ISSN 0956-5515 · Springer Science+Business Media · 5 articles in the index
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Journal Article Full text
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing
Abstract Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a rapid prototyping method to a viable manufacturing tool. AM technologies can produce parts on-demand, repair damaged components, and provide an increased freedom of design not previously attainable by…
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Journal Article Full text
Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control
Abstract For several industries, the traditional manufacturing processes are time-consuming and uneconomical due to the absence of the right tool to produce the products. In a couple of years, machine learning (ML) algorithms have become more prevalent in manufacturing to develop items and products…
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Journal Article Full text
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
Abstract The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent the foundations for implementing the concept of intelligent production, smart products, services, and predictive maintenance (PdM). The majority of the state-of-the-art ML approaches for PdM use different…
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Journal Article Full text
A review of motion planning algorithms for intelligent robots
Abstract Principles of typical motion planning algorithms are investigated and analyzed in this paper. These algorithms include traditional planning algorithms, classical machine learning algorithms, optimal value reinforcement learning, and policy gradient reinforcement learning. Traditional…