Persistent GMTI surveillance: theoretical performance bounds and some experimental results

Author(s):  
Bhashyam Balaji ◽  
Anthony Damini ◽  
Kai Wang
2013 ◽  
Vol 29 (1) ◽  
pp. 78-100 ◽  
Author(s):  
Sotiris B. Kotsiantis

AbstractBagging and boosting are two of the most well-known ensemble learning methods due to their theoretical performance guarantees and strong experimental results. Since bagging and boosting are an effective and open framework, several researchers have proposed their variants, some of which have turned out to have lower classification error than the original versions. This paper tried to summarize these variants and categorize them into groups. We hope that the references cited cover the major theoretical issues, and provide access to the main branches of the literature dealing with such methods, guiding the researcher in interesting research directions.


2006 ◽  
Vol 2 (1) ◽  
pp. 26
Author(s):  
Uzaldin S. Abdulhussain ◽  
Taj Elssir Hassan ◽  
Maisara Mohy Eldin Gasim

Twin crankshaft is a new engine arrangement introduced to overcome cylinder’s liner wear problems encountered in the conventional inline crankshaft engine due to the effect of the side thrust force. The offset crankshaft arrangement was also introduced to solve the same problem. In this work a computer programs was built to obtain the theoretical performance comparison between the three engines arrangements (inline, twin and offset crankshaft engines), and compared the theatrical performance with the experimental results, which done to the engine’s models. The study results show that the twin crankshaft engine model exhibited no thrust force, and that the thrust force in the offset crankshaft model is smaller than that in the inline crankshaft engine model. These agree with experimental results obtained from the same engine model.


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