… In the case of flooding situation awareness, Arthur et al [67] used publicly available social …
UAVs have been deployed to collect small-scene geodata to improve situation awareness …

… The authors believe that high levels of situational awareness (ie, understanding how a city
is actually used) are a prerequisite to improving day-to-day operations. Similarly, from a long-…

As decision‐making increasingly relies on machine learning (ML) and (big) data, the issue
of fairness in data‐driven artificial intelligence systems is receiving increasing attention from …

… SA can be directly measured by using a survey technique such as Situational Awareness …
2.4 Transfer Learning Transfer learning is a concept in machine learning in which knowledge …

… operational threat for many decades [16], and thus it is crucial for space situational awareness
and future space traffic management to also be able to process and identify these events. …

… The use of social media-based public health intelligence monitoring techniques to provide
situational awareness of potential health threats to support surveillance activities has grown …

… of social media data in revealing situational awareness during crisis scenarios, such as by
… Tweets, in the wildfire scenario, enhanced situational awareness and accelerated disaster …

… Recently, machine learning (ML) has been applied to address different issues in physical …
For examples, the ML tools and situational awareness are combined to learn the beam …

… Crowdsensing-enabled services such as the distributed generation of high-definition
environment maps will then be available to improve the situation awareness of the vehicles …

… Their main contribution is that the system can intelligently perceive the environment and
react to specific events or conditions according to the typical situational awareness principles …