Selection of training methods in systems dedicated to detection of chemical hazards

The paper presents the process of training methods’ selection in systems dedicated to detection of chemical hazards. By examining most common training methods used in detection systems, authors indicates which of them are the most relevant to hazardous chemical substance detection systems, assuming that basic efforts focus on the system as the whole (mainly on detection components) rather than the training module. Furthermore, the indicated methods are characterized in detail and combined with overall utility and economic analysis related to the dimension of the resources involved in the work on the entire project (by the example of the EU-SENSE project). In order to study the training methods and the factors influencing their choice, two research methods were used: (1) in-depth analysis of the literature on the subject of training tools in the field of crisis management and IT solutions, and (2) the case study of the EU-SENSE project (its training module).

Will Artificial Intelligences will be our judges and arbiters in the future and what role it will be taken by simulators

This paper proposes an overview on the potential use of AI (Artificial Intelligence) and M&S (Modeling and Simulation) to develop innovative solutions in a new emerging sector defined Legal Analytics. The analysis of previous and existing achievements respect to actual potential advances with special attention to new integrated solutions for Arbitration.

Town protection simulation

This paper proposes an overview on the potential use of AI (Artificial Intelligence) and M&S (Modeling and Simulation) to develop innovative solutions in a new emerging sector defined Legal Analytics. The analysis of previous and existing achievements respect to actual potential advances with special attention to new integrated solutions for Arbitration.