1 |
Use of helicopters in land operations, STANAG 2999 HIS (NATO ATP-49(A)), 1992
|
2 |
P. Clark and T. Niblett, "The CN2 Induction Algorithm," Machine Learning Journal, Vol.3, No.4, pp. 261-283, 1989
|
3 |
L. A. Zadeh, "Fuzzy Logic, Neural Networks and Soft Computing," Comm- unications of the ACM, Vol.37, No.3, pp. 77-84, 1994
DOI
ScienceOn
|
4 |
I. H. Witten and E. Frank, Data Mining: Practical machine learning tools and techniques. 2nd Edition, San Francisco: Morgan Kaufmann Publishers, 2005
|
5 |
Aircraft survivability equipment (ASE): Ensuring lethality and dominance of Army aviation over tomorrow's battlefield, Association of the United States Army, July 2002
|
6 |
A. S. Rao and M. P. Georgeff, "BDI agents: from theory to practice," in Proceedings of 1st International Conference of Multi-agent Systems, pp.312- 319, July 1995
|
7 |
L. B. Thompson, "Army force protection : Helicopters can't wait," news article, April 21, 2006. Available: http://lexingtoninstitute.org/782.shtml
|
8 |
S. Noh, C. Lee, K. Choi, and G. Jung, "Detecting Distributed Denial of Service (DDoS) Attacks Through Inductive Learning," Lecture Notes in Computer Science 2690, New York: Springer-Verlag, pp. 286-295, 2003
|
9 |
J. R. Quinlan, C4.5: Programs for Machine Learning. San Francisco: Morgan Kaufmann Publishers, 1993
|
10 |
Electronic systems - Defensive systems division, Northrop Grumman. Available: http://www.dsd.es. northropgrumman.com
|
11 |
D. J. Bryant, F. M. J. Lichacz, J. G. Hollands, and J. V. Baranski, "Modeling situation awareness in an organizational context Military command and control," In S. Banbury and S. Tremblay (Eds), A cognitive approach to situation awareness: theory and application. Chapter 6, Burlington, VT: Ashgate Publishing Company, 2004
|
12 |
J. Heikell, Electronic warfare self-protection of battlefield helicopters: A holistic view, Helsinki University of Technology, doctoral dissertation, 2005
|
13 |
J. Patrick and N. James, "A Task-Oriented Perspective of Situation Awareness," In S. Banbury and S. Tremblay (Eds), A cognitive approach to situation awareness: theory and application. Chapter 4, Burlington, VT: Ashgate Publishing Company, 2004
|
14 |
Advanced EW protection for maximum survivability, Northrop Grumman, AN/APR-39B(V)2 Suite of integrated sensors and countermeasures (SISCM)
|
15 |
R. Hanson, J. Stutz, and P. Cheeseman, "Bayesian Classification Theory," Technical Report FIA-90- 12-7-01, NASA Ames Research Center, AI Branch, 1991
|
16 |
D. Moshou, I. Hostens, G. Papaioannou, and H. Ramon, "Dynamic muscle fatigue detection using self-organizing maps," Applied Soft Computing, Vol.5, pp. 391-398, 2005
DOI
ScienceOn
|
17 |
N. Kasabov, "Adaptation and interaction in dynamical systems: Modelling and rule discovery through evolving connectionist systems," Applied Soft Computing, Vol.6, pp. 307-322, 2006
DOI
ScienceOn
|
18 |
H. Zhongwen and W. Zongxiao, Sources and Techniques of Obtaining National Defense Science and Technology Intelligence, Kexue Jishu Wenxuan Publishing Co., Beijing, 1991. Available: http://www. fas.org/irp/world/china/docs/
|
19 |
L. D. Kennedy, C. R. Patterson, and D. C. Munshower, "F/A-18 electronic warfare suite cost and operational effectiveness analysis methodology : Phase rad- io-frequency countermeasures," John Hopkins APL Technical Digest, Vol.18, No.1, pp59-68, 1997. Available: http://techdigest.jhuapl.edu/ td1801/kennedy.pdf
|