A team of students at Embry‑Riddle Aeronautical University is developing a swarm of microdrones aimed at transforming 3D ...

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

The purpose of swarm is to provide a novel clustering algorithm that handles massive sets of amplicons. Results of traditional clustering algorithms are strongly input-order dependent, and rely on an ...

Abstract: Feature selection is a technique commonly used in Data Mining and Machine Learning. Traditional feature selection methods, when applied to large datasets, generate a large number of feature ...

Abstract: This paper concerns the multi-UAV task assignment problem, which is solved by a multi-objective particle swarm optimization algorithm for adaptive region partitioning. Since the traditional ...

The AI algorithm, named Heterogeneous Graph Spatio-Temporal Reasoning (HG-STR), would enable drone swarms to search a vast ...

The foreseeable future of aerial warfare involves manned-unmanned teaming, and India needs to create theatre-level drone ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Advance swarm intelligence algorithm and their application towards wireless networks ...

The V-shaped bionic manta ray soft-bodied submersible developed by Northwestern Polytechnical University. CHINA DAILY ...

Tashi Network and DroneVerse successfully conducted a live drone swarm field trial in Delhi, demonstrating advanced autonomous capabilities for defence and internal security. The trial showcased ...

For K-Swarm, an M-346FA manned jet (left) took control of an unmanned Kizilelma unmanned combat aerial vehicle (right). (Baykar, Leonardo ) Baykar and Leonardo have demonstrated the crewed-uncrewed ...