Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/12195
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dc.contributor.authorBansal, Mukesh
dc.contributor.authorDinesh Kumar, U
dc.contributor.authorAggarwal, Remica
dc.contributor.authorAggarwal, V K
dc.date.accessioned2020-05-29T13:12:18Z-
dc.date.available2020-05-29T13:12:18Z-
dc.date.issued2019
dc.identifier.issn0975 - 8887
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/12195-
dc.description.abstractRecent developments in Artificial Intelligence (AI) have resulted in breakthroughs in applications such as computer vision, natural language processing, robotics, and data mining. These breakthroughs have been optimally utilized in various military applications such as surveillance, reconnaissance , threat evaluation, underwater mine warfare, cyber security, intelligence analysis, command and control as well as military education and training . However, it is not easy to achieve these breakthroughs . They are subject to the package of challenges of being prone to high risks ; robustness and reliability crunch or absence of the required training to name a few. Present research work tries to explore such challenges and further attempts to study the possible inter-relationships using ISM methodology.
dc.publisherFoundation of Computer Science (FCS)
dc.subjectInterpretive Structural Modeling Methodology
dc.subjectMIC -Mac Analysis
dc.subjectMilitary and Defence sector
dc.subjectArtificial Intelligence and Machine learning
dc.titleOn an attempt to explore challenges for artificial intelligence and machine learning in Indian military and defence sector and studying the possible inter-relationship amongst them using ISM methodology
dc.typeJournal Article
dc.identifier.doi10.5120/ijca2019919695
dc.pages5-10p.
dc.vol.noVol.177-
dc.issue.noIss.28-
dc.journal.nameInternational Journal of Computer Applications
Appears in Collections:2010-2019
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