Leveraging Machine Learning Approach for Large-Scale Unstructured Satellite Image Analysis: A Comprehensive Review and Future Predictions

In the last century, research on antennas and propagation (A&P) has progressed, influencing both technology and society. Even with a well-established theory of electromagnetics, ongoing A&P exploration is essential, particularly in the context of the Fourth Industrial Revolution. This paper employs natural language processing (NLP) and machine learning (ML) to connect historical and contemporary events. 2,415 keywords indicating important A&P themes were extracted from a systematic review of 160,000 papers published between 1981 and 2022. Using an encoder-decoder LSTM network similar to Gartner hype cycle, we predict future trends, offering important insights into the development of this important subject.