Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
Latest Publications

TOTAL DOCUMENTS

66

(FIVE YEARS 66)

H-INDEX

3

(FIVE YEARS 3)

Published By SPIE

9781510626775, 9781510626782

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Front Matter: Volume 11006

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2537937 ◽

2019 ◽

Keyword(s):

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Improving unmanned aerial vehicle-based object detection via adversarial training: a (almost) free lunch to enjoy (Conference Presentation)

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2518835 ◽

2019 ◽

Author(s):

Zhenyu Wu ◽

Karthik Suresh ◽

Zhangyang Wang ◽

Priya Narayanan ◽

Heesung Kwon

Keyword(s):

Object Detection ◽

Unmanned Aerial Vehicle ◽

Aerial Vehicle ◽

Adversarial Training

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Deep HoriXons (DHX): a 3D virtual reality research campus for crowd-sourcing AI innovations in cooperative autonomy (Conference Presentation)

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2518316 ◽

2019 ◽

Author(s):

Rob Williams

Keyword(s):

Virtual Reality ◽

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Towards an intelligent tactical edge: an internet of battlefield things roadmap (Conference Presentation)

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2522648 ◽

2019 ◽

Author(s):

Tarek Abdelzaher ◽

Stephen Russell

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A conceptual architecture for contractual data sharing in a decentralised environment

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2518644 ◽

2019 ◽

Author(s):

Iain Barclay ◽

Alun D. Preece ◽

Ian Taylor ◽

Dinesh Verma

Keyword(s):

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VoI for complex AI based solutions in coalition environments

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2519619 ◽

2019 ◽

Author(s):

Dinesh Verma ◽

Geeth R. de Mel ◽

Gavin Pearson

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On the machine learning for minimizing the negative influence in mobile cyber physical systems

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2519598 ◽

2019 ◽

Author(s):

Vijay Chaudhary ◽

Danda Rawat

Keyword(s):

Machine Learning ◽

Negative Influence ◽

Cyber Physical Systems ◽

Physical Systems

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Developing the sensitivity of LIME for better machine learning explanation

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2520149 ◽

2019 ◽

Author(s):

Eunjin Lee ◽

David Braines ◽

Mitchell Stiffler ◽

Adam Adam Hudler ◽

Daniel Harborne

Keyword(s):

Machine Learning

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Super resolution-assisted deep aerial vehicle detection

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2519045 ◽

2019 ◽

Author(s):

Syeda Nyma Ferdous ◽

Moktari Mostofa ◽

Nasser Nasrabadi

Keyword(s):

Super Resolution ◽

Vehicle Detection ◽

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Overview of machine learning (ML) based perception algorithms for unstructured and degraded visual environments

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications ◽

10.1117/12.2519029 ◽

2019 ◽

Author(s):

Priya Narayanan ◽

Zhenyu Wu ◽

Heesung Kwon ◽

Zhangyang Wang ◽

Raghuveer Rao

Keyword(s):

Machine Learning

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