Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Data and information obtained from low-cost uncrewed aerial vehicles (UAVs), commonly
referred to as 'drones', can be used to support integrated coastal zone management (ICZM) …

In recent days, the Unmanned Aerial Systems (UAS) is an emerging technology rapidly
across many warfare's and enable new civilian domains which include real-time monitoring …

Natural events, such as wildfires, pose a serious threat to the human population and cause
significant environmental and economic damage. As climate change increases the …

Time is a critical factor in maritime Search And Rescue (SAR) missions, during which
promptly locating survivors is paramount. Unmanned Aerial Vehicles (UAVs) are a useful …

The ocean is classified into several territorial regimes that span from internal waters,
archipelagic waters, territorial seas, contiguous zones, exclusive economic zones (EEZ) …

As artificial intelligence (AI) is becoming part of complex systems and critical infrastructures,
perspectives on resilience may need to be revisited. This paper focuses on the challenges …

In swarm robotics, multi-target trap** usually relies on global information or explicit
communication, posing a challenge for robots to autonomously self-organize and trap …

Rotary-wing Unmanned Aerial Vehicles (commonly referred to as drones) are versatile
autonomous transportation platforms that can be used for a variety of data collection …

Unmanned Aerial Vehicles (UAVs) or drones presently are enhanced with miniature sensors
that can provide information relative to their environment. As such, they can detect changes …