Harnessing Machine Learning and Stock Market Techniques for Signal Detection in Underwater Sensing Technologies

Detecting emerging technologies is crucial as it enables industries and policymakers to anticipate future trends, allocate resources efficiently, and foster innovation. Research plays a pivotal role in developing and advancing emerging technologies, driving innovation and shaping the trajectory of future technological landscapes. In this work, inspired by stock market analysis and leveraging machine learning, we analyze three decades of scientific publications in the field of underwater sensing, as the case technology, to identify bursty terms. We also employ historical data to develop a classifier predicting their future popularity trends.