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Prediction of Civilians Killing in the Upcoming Drone Attack

机译:在即将到来的无人机袭击中预测平民杀害

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Terrorism, is use of violence systematic and unlawfully. After the attack on World trade Center on 9th November 2001, Pentagon decided to launch fight against terrorism operations in Afghanistan. The operation started in Afghanistan in 2001 and then with the passage of time the scope of operation was increased to northwest part of Pakistan. Remarkable results have been achieved with this technology but there are also some disadvantages of this technology. The negative impact of using the drone technology is that civilians are also affected by the strikes. First drone attack happened in Waziristan in November 2004, which resulted in the killing of militant's commander, and his companions with civilians were martyred. To minimize the deaths of such local innocent civilians different predictive systems for finding the location and time of next drone strike have been created by the researchers.In this research paper we have designed a predictive system using neural network that how many civilians will be affected by the next drone strike. This system has been designed on the basis of the available data about the drone strikes in Pakistan. Realistic results have been achieved and we are hopeful that this system can save some innocent lives.
机译:恐怖主义,是使用暴力系统和非法的。在2001年11月9日关于世界贸易中心的袭击之后,五角大楼决定在阿富汗打击恐怖主义行动。 2001年在阿富汗始于阿富汗的行动,然后随着时间的推移,运作范围增加到巴基斯坦西北部。通过这项技术实现了显着的结果,但也有这项技术的一些缺点。使用无人机技术的负面影响是平民也受到罢工的影响。在2004年11月瓦兹里斯坦发生的首次无人机袭击事件导致了杀人的军队的指挥官,他与平民的同伴是殉道者。为了最大限度地减少本地无辜平民的死亡,用于找到下一个无人机罢工的地点和时间的不同预测系统已经由研究人员创造。在本研究论文中,我们设计了一种使用神经网络的预测系统,即有多少平民将受到影响下一个无人机罢工。该系统是根据巴基斯坦的有关无人机罢工的可用数据而设计的。已经实现了现实的结果,我们希望这个系统可以节省一些无辜的生命。

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