This paper presents research on software-based tools for the semi-automated collection and classification of scientific papers focusing on Quantum Optics research. The tool integrates keyword-based search, Portable Document Format extraction, and parallel processing using “term frequency-inverse document frequency” and the all-MiniLM-L6-v2 model for semantic analysis. It generates numerical similarity estimates, enabling efficient navigation and prioritization of sources. The modular design allows flexible integration of similarity algorithms. Despite challenges with dynamic anti-scraping mechanisms, the tool demonstrates significant potential in streamlining literature reviews. Future improvements include advanced NLP techniques and addressing ethical considerations to enhance accuracy and compliance.

In the presented paper, detailed schematics and descriptions concerning communication in the context of swarm drone control are introduced. Methods and technologies behind them are discussed. The implementation of the presented concept was verified through a series of tests. Simulation results which confirm the effectiveness and efficiency of the proposed solutions are presented. The obtained results prove the correctness implementation of the presented methods and also demonstrate the benefits derived from the proposed approach. The presented concept of controlling a swarm of drones represents the current state of knowledge and technology in the field of drones and their control. By utilizing advanced communication technologies, positioning, and analysis of communication structures, this work makes a significant contribution to the UAV (Unmanned Aerial Vehicle) field.