Submission Deadline: 31 October 2021 (closed)
In recent decades, a need has arisen for predicting approaches and techniques to provide real-time solutions to some problems by integrating the modes from the rapidly developing fields of Artificial Intelligence, Machine Learning, Blockchain, Cyber Security, Data Analytics, Big Data, IoT and Cloud Computing. Intelligent systems will not only improve productivity and efficiency, but can also cope with unpredictable and imprecise issues such as variability, downtime and human factors. Soft computing methodologies use a combination of heuristics, approximation models, stochastic and non-deterministic algorithmic behavior to address the imprecision, uncertainty and partial truths that are often present in complex manufacturing systems. This special issue of Soft Computing Methods for Intelligent Automation Systems will showcase the application of soft computing methods for intelligent automation systems.
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