New Fighter Unmanned Aerial Vehicles (FUAV's). This item is unavailable.New Fighter Unmanned Aerial Vehicles (FUAV's)

This Electronic Monograph (E-Monpgraph) is interested to present different models of fighter UAVs for defense and offensive military missions using Artificial Intelligence (AI) and Econographicology (Ruiz Estrada, 2017) as the main analytical and theoretical framework to support the construction of all these prototypes. This E-Monograph is divided into seven chapters. The second chapter The Multi-Disks Networks Autonomous Decisions Maker Artificial Intelligence Mapping (MNADMAI-Mapping) for Drones is founded on an advanced multi-level mega-data analysis algorithm, coupled with a novel mathematical and graphical approach. This integrated analytical control system stands out as an exceptionally efficient programming tool for a diverse range of UAVs, including Drones (for aerial missions). The development of MNADMAI-Mapping for and Drones stems from the imperative need for a cutting-edge artificial intelligence framework capable of assessing and autonomously deciding courses of action in various scenarios, including possible conflicts, domestic disputes, and border-related military challenges, extending to a wide spectrum of potential military maneuvers, be they defensive or offensive in nature. In essence, MNADMAI-Mapping for Drones serves the critical purpose of providing armed forces, encompassing armies, navies, and air forces, with an alternative artificial intelligence system, further augmenting their strategic capabilities.