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Editorial: Introduction to the Special Issue on AI, Machine Learning, and Deep Learning: Advances and Applications for EMC
Not many technologies have ever captured the public imagination as widely and abruptly as artificial intelligence (AI). While AI has been a staple of science fiction for decades with actual applications in engineering and sciences for many years, it is only in the last year or so that generative AI tools have enthused and engaged so many people. All of a sudden, our general consciousness sees AI as so accessible and so normalized. This is particularly evident that you wish to do a simple web search of AI tools available online or perhaps check out the libraries and toolboxes of your favorite programming languages.
期刊介绍:
IEEE Transactions on Electromagnetic Compatibility publishes original and significant contributions related to all disciplines of electromagnetic compatibility (EMC) and relevant methods to predict, assess and prevent electromagnetic interference (EMI) and increase device/product immunity. The scope of the publication includes, but is not limited to Electromagnetic Environments; Interference Control; EMC and EMI Modeling; High Power Electromagnetics; EMC Standards, Methods of EMC Measurements; Computational Electromagnetics and Signal and Power Integrity, as applied or directly related to Electromagnetic Compatibility problems; Transmission Lines; Electrostatic Discharge and Lightning Effects; EMC in Wireless and Optical Technologies; EMC in Printed Circuit Board and System Design.