Intro
Preface
Organization
Contents
Special Session 2: Technological Foundations and Advanced Applications of Drone Systems
Level 3 Data Fusion
1 Ontological Foundations
2 Level 3 Data Fusion
3 DNN Implementation
3.1 CoA Recognition
3.2 Event Prediction
3.3 Forensic Assessment
4 Modeling Courses of Action
4.1 Probability of Action
4.2 CoA Utility Modeling
4.3 Evaluating Response Effectiveness
References
Image Classification Using Contrastive Language-Image Pre-training: Application to Aerial Views of Power Line Infrastructures

1 Introduction
2 Related Work
3 Methodology
3.1 Data Selection and Processing
3.2 Data Labeling and Caption Generation
3.3 CLIP Classifier Selection Methodology
4 Results and Discussion
4.1 Zero-Shot vs. Few-Shot Classifier
4.2 CLIP Fine-Tuning
4.3 Final model
5 Conclusions
References
A Realistic UAS Traffic Generation Tool to Evaluate and Optimize U-Space Airspace Capacity
1 Introduction
2 Realistic UAS Traffic Generation and Specification
2.1 Identification of Common UAS Patterns
2.2 Traffic Generation Module
2.3 Traffic Specification Module

3 Validation of the Traffic Generation and Specification Modules
4 Next Steps: Towards a Separation Optimization and Evaluation Framework
5 Conclusions
References
UAV Airframe Classification Using Acceleration Spectrograms
1 Introduction
2 State of the Art
3 Proposed System
3.1 UAV Dataset and Spectrogram Generation
3.2 Classification Algorithm
4 Experiments and Results
5 Conclusions
References
Tuning Process Noise in INS/GNSS Fusion for Drone Navigation Based on Evolutionary Algorithms
1 Introduction
2 INS/GNSS
3 Tuning Process
4 Case Study

4.1 Mission Problem and Simulation Configuration
4.2 Filter Parameters
4.3 Optimization Algorithms
5 Results
5.1 Results Comparison
6 Conclusions
References
Special Session 3: Soft Computing Methods in Manufacturing and Management Systems
Digital Twins of Production Systems Based on Discrete Simulation and Machine Learning Algorithms
1 Introduction
2 Reinforcement Learning
3 A Digital Twin Based on Discrete-Event Simulation as a Reinforcement Learning Agent Environment
4 Summary
References

Edge Architecture for the Integration of Soft Models Based Industrial AI Control into Industry 4.0 Cyber-Physical Systems
1 Introduction
2 Related Work
3 Architecture
4 Validation
5 Conclusions
References
The Use of Line Simplification and Vibration Suppression Algorithms to Improve the Quality of Determining the Indoor Location in RTLSs
1 Introduction
1.1 Methods and Technologies for Determining Indoor Location
2 Decawave as an Example of RTLS Based on UWB Technology
3 Algorithms for Improving RTLS Data
3.1 Polyline Simplification Algorithms