Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Published by LAP Lambert Academic Publishing 2020-10, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Published by LAP LAMBERT Academic Publishing Okt 2020, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 intelligence formation with improved military research and development funding to advance new and progressive applications for AI driven systems in military combatant logistics for process modernism. 164 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Published by LAP Lambert Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Published by LAP LAMBERT Academic Publishing Okt 2020, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 intelligence formation with improved military research and development funding to advance new and progressive applications for AI driven systems in military combatant logistics for process modernism.Books on Demand GmbH, Überseering 33, 22297 Hamburg 164 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202921617 ISBN 13: 9786202921619
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 intelligence formation with improved military research and development funding to advance new and progressive applications for AI driven systems in military combatant logistics for process modernism.