open access

Journal of Robotics, Automation and Smart Systems

Intelligent Automation

Intelligent Automation focuses on integrating artificial intelligence with automated systems to enhance operational efficiency and decision-making. It uses machine learning, analytics, and rule-based algorithms to automate complex workflows with minimal human intervention. Intelligent automation improves productivity by predicting outcomes, optimizing processes, and reducing repetitive workloads. It enables adaptive and self-correcting operations across industries. By combining data insights with real-time responses, it ensures consistent and reliable performance. Intelligent automation strengthens digital transformation and supports end-to-end process enhancement. Overall, it drives smarter business operations and fosters innovation in modern automated environments.

 

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English Publication Language
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17% Acceptance Rate
<18% Similarity Screening Guideline
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All manuscripts undergo editorial assessment and originality screening as part of the journal's evaluation process. The acceptance rate shown is based on journal-level editorial data and may change over time. Similarity reports are assessed editorially and are not interpreted solely on the basis of a numerical similarity score.

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