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              <text>The Future Warfare with Multidomain Applications of Artificial Intelligence: Research Perspective</text>
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              <text>Artificial ?ntelligence; Artificial neural networks; Cyber security; Machine learning; Navy application; Robots; Unmanned air vehicle</text>
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              <text>We live in a period when historical fiction has become current reality. With our future being automated, using AI on a daily basis will only get more convenient. Making military weapons to detect, monitor, and engage a human being with attacks may all be done in the privacy of one's own garden. There is a plethora of AI software out there that can be readily integrated into combat weapons. The automobile industry is already incorporating AI into vehicles to assess driving circumstances and give augmented reality to drivers via heads-up displays in order to assist avert accidents. Similarly, artificial intelligence will be utilized to study the battlefield and give soldiers with augmented reality information via heads-up displays and weapon control systems. Since AI is not a single technology, it has been argued that it might be used by the military in a variety of ways. Intelligence, surveillance, and reconnaissance (ISR) activities, as well as processing and interpreting sensor data and geographic imaging analysis, are all examples of AI. Artificial intelligence has the potential to reduce human involvement in conflict, whether it is employed for combat robots or data analysis. AI has the potential to profoundly alter the nature of war. The article mainly focussed on warfare technologies and applications. The main aim of this review is to understand the current applications being used in armed forces and proposed technologies of artificial intelligence.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Nikitha M.A.; Sai Swetha B.S.; Mantripragada K.H.; Jayapandian N.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-351, pp. 329-341.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-16-7657-4_28" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-7657-4_28&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126258917&amp;amp;doi=10.1007%2F978-981-16-7657-4_28&amp;amp;partnerID=40&amp;amp;md5=ecbdc82a739fccf197798bac6bcc44f9" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126258917&amp;amp;doi=10.1007%2f978-981-16-7657-4_28&amp;amp;partnerID=40&amp;amp;md5=ecbdc82a739fccf197798bac6bcc44f9&lt;/a&gt;</text>
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              <text>ISSN: 23673370; ISBN: 978-981167656-7</text>
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              <text>Nikitha M.A., Department of Computer Science and Engineering, CHRIST (Deemed To Be University), Kengeri Campus, Bangalore, India; Sai Swetha B.S., Department of Computer Science and Engineering, CHRIST (Deemed To Be University), Kengeri Campus, Bangalore, India; Mantripragada K.H., Department of Computer Science and Engineering, CHRIST (Deemed To Be University), Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, CHRIST (Deemed To Be University), Kengeri Campus, Bangalore, India</text>
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