Hostile Intent Enumeration using Soft Computing Techniques
In any tactical scenario, the successful quantification and triangulation of potential hostile elements is instrumental to minimize any casualties which might be incurred. The most commonly deployed infrastructures to cater to this have mostly been surveillance systems which only extract some data pertaining to the targets of interest in the area of observation and convey the information to the human operators. Accordingly, with the ever increasing rate at which warfare tactics are evolving, there has been a growing need for “smarter” solutions to this problem of hostile intent enumeration. Recently, a number of developments have been made to ameliorate the efficacy and the certitude with which this task is performed.
This paper discusses two of the most prominent approaches which address this problem and posits the outline of a novel solution which seeks to address the shortcomings faced by the existing approaches.
Keywords: Hostility, Neural Networks, Artificial Intelligence, Defence, Maritime, SOM
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ABOUT THE AUTHORS
Souham Biswas
Souham Biswas is a B.Tech. 4th year Computer Science & Engineering student at J.K. Institute of Applied Physics & Technology, University of Allahabad, Allahabad. He has achieved various national level accolades in the fields of embedded systems and application of artificial intelligence in embedded systems from IIT Bombay in the years 2013 and 2014 consecutively. He is also an avid software developer with his expertise spanning across domains of cloud computing and database management to scientific computing and machine learning. His areas of interest are Artificial Neural Networks, Embedded Systems, Robotics, Software Design and Machine Learning.
Manisha J. Nene
Manisha J. Nene is the Assistant Professor at the Department of Computer Engineering at Defence Institute of Advanced Technology, Pune under Defence Research & Development Organization, Ministry of Defence, Govt. of India.
Souham Biswas
Souham Biswas is a B.Tech. 4th year Computer Science & Engineering student at J.K. Institute of Applied Physics & Technology, University of Allahabad, Allahabad. He has achieved various national level accolades in the fields of embedded systems and application of artificial intelligence in embedded systems from IIT Bombay in the years 2013 and 2014 consecutively. He is also an avid software developer with his expertise spanning across domains of cloud computing and database management to scientific computing and machine learning. His areas of interest are Artificial Neural Networks, Embedded Systems, Robotics, Software Design and Machine Learning.
Manisha J. Nene
Manisha J. Nene is the Assistant Professor at the Department of Computer Engineering at Defence Institute of Advanced Technology, Pune under Defence Research & Development Organization, Ministry of Defence, Govt. of India.