Suchergebnisse

In military battle, the unmanned combat aerial vehicle (UCAV) plays a critical role. The UCAV avoids the fatal military zone as well as radars. If there is just a narrow path between the defensive areas, it is dan-gerous. It chooses the quickest and safest path. The balance evolution technique is used to improve the path planning of UCAV in this study, which results in a novel artificial bee colony. To regulate the position of a swarm of UCAVs, a particle swarm network is used to communicate between the UCAVs in the swarm. According to simulation data, the particle swarm network technique is more efficient than the ABC ap-proach. The intelligence system is taught via an artificial neural network.

Studying the influence of religiosity and knowledge of the COVID-19 vaccination is important for boosting countrywide vaccine acceptance in countries such as Pakistan. This study used partial least squares structural equation modeling to determine whether these factors predicted the
intention to get the vaccine and whether knowledge about COVID-19 vaccines moderated the influence of religiosity on the intention to get vaccinated. Participants were 251 college students from Pakistan, recruited using convenience sampling, who completed a paper-based survey. Results of structural
equation modeling showed that religiosity was negatively related to COVID-19 vaccine acceptance, knowledge about the vaccine was positively related to COVID-19 vaccine acceptance, and knowledge about the vaccine positively moderated the negative impact of religiosity on intention to get vaccinated.
These findings suggest that challenging religious norms and increasing public awareness are crucial for COVID-19 vaccine adoption.