Spatial optimization is an interdisciplinary field dedicated to the scientific and rational
allocation of resources spatially, which has received tremendous attention across various …

This study starts by questioning what smart cities are and how they are being planned for the
future of the population. Faced with a wide range of information, the coexistence of multiple …

Low-income countries are persistently suffering from last-mile logistics issues in healthcare
supply chains. Therefore, it is high time to explore technological applications to overcome …

In the last decade, simulation software as a tool for managing and controlling business
processes has received a lot of attention. Many of the new software features allow …

Conventional multi-agent path planners typically compute an ensemble of paths while
optimizing a single objective, such as path length. However, many applications may require …

Abstract Unmanned Aerial Vehicles (UAVs), ie, drones, are expected to be widely used in
various applications, such as parcel delivery and passenger transport, with the benefits of …

The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their
extended applicability in diverse domains, including surveillance, commerce, military, and …

With the rapid development of information technology, various products used in information
technology are also constantly optimized. Among them, the task and path planning of UAV in …

Different from existing studies where low-dimensional optimizers are utilized to optimize the
path of an unmanned aerial vehicle (UAV), this paper attempts to employ large-scale swarm …

Recent results in person detection using deep learning methods applied to aerial images
gathered by Unmanned Aerial Vehicles (UAVs) have demonstrated the applicability of this …