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AI Mapping for Hydrones and Drones
Mario Arturo Ruiz Estrada
Econographication Virtual Laboratory (EVL)
E-mail: mario-ruiz@econographication.com or marioarturoruiz@gmail.com
Website: www.econonographication.com
Tel: +6012-6850293
Abstract
The Multi-Disks Networks Autonomous Decisions Maker Artificial Intelligence Mapping
(MNADMAI-Mapping) for Hydrones and 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 both Hydrones (for water or underwater operations) and
Drones (for aerial missions). The development of MNADMAI-Mapping for Hydrones 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 Hydrones and 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.
Keywords: Hydrones and Drones systems, Defense Systems, Multidimensional graphical
modeling, learning machine, artificial intelligence, coordinate spaces, mega-data visualization.
JEL Classification: Z7