Defence Application of Artificial Intelligence & Machine Learning - O. Matthew, Ugochukwu;S. KAZAURE, ENGR. DR. JAZULI
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The ultimate goal of the current digital society extreme automation is to enable artificial intelligence (AI) autonomous Unmanned Aerial Vehicles (UAVs) modelled with Machine Learning to respond expeditiously in the security surveillance in several missions beyond visually line of sight (BVLOS) which are the fundamental aspect of modern warfare controlled through the cloud infrastructure in Internet of Thing (IoTs) computing. When contrasted with other conventional weapon systems, the military defence systems furnished with Artificial Intelligence and Machine Learning are proficient in…mehr

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Produktbeschreibung
The ultimate goal of the current digital society extreme automation is to enable artificial intelligence (AI) autonomous Unmanned Aerial Vehicles (UAVs) modelled with Machine Learning to respond expeditiously in the security surveillance in several missions beyond visually line of sight (BVLOS) which are the fundamental aspect of modern warfare controlled through the cloud infrastructure in Internet of Thing (IoTs) computing. When contrasted with other conventional weapon systems, the military defence systems furnished with Artificial Intelligence and Machine Learning are proficient in managing extensive volumes of data set more powerfully. Moreover, Artificial Intelligence enhances self-learning for all autonomous UAVs self-awareness, self-control, self-actuation, self-protection and self-regulation for defensive missions, owing to its intrinsic computing and decision-making competencies. The defence application of Artificial Intelligence is almost in every military intelligenceformation with improved military research and development funding to advance new and progressive applications for AI driven systems in military combatant logistics for process modernism.
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Autorenporträt
Ugochukwu Okwudili Matthew , Engr Dr. Jazuli Sanusi Kazaure et Dr. Nwamaka Uchenna Okafor sont des universitaires professionnels qui ont de nombreuses années de recherche et d'engagement universitaire. Les auteurs ont travaillé sur plusieurs autres projets universitaires d'importance mondiale.