*ML and DL Applications in RISDS*

ML and DL algorithms are instrumental in various aspects of RISDS, from data processing and analysis to predictive modeling and decision-making. In the context of near-by data services, ML models can predict user preferences based on historical data and contextual information, facilitating proactive recommendations and personalized experiences. DL techniques, on the other hand, excel in processing unstructured data such as images and sensor readings, enabling RISDS to extract valuable insights from diverse sources and deliver actionable intelligence to end-users.