نتایج جستجو برای: vector management
تعداد نتایج: 1041704 فیلتر نتایج به سال:
Local health department (LHD) vector control programs have experienced reductions in funding and capacity. Acknowledging this situation and its potential effect on the ability to respond to vector-borne diseases, the U.S. Centers for Disease Control and Prevention and the Public Health Foundation partnered on a performance management initiative for LHD vector control programs. The initiative in...
Many performance evaluations for IEEE 802.11distributed coordination function (DCF) have been previouslyreported in the literature. Some of them have clearly indicatedthat 802.11 MAC protocol has poor performance in multi-hopwireless ad hoc networks due to exposed and hidden nodeproblems. Although RTS/CTS transmission scheme mitigatesthese phenomena, it has not been successful in thoroughlyomit...
Dengue is a leading public health problem in Sri Lanka. All 26 districts and all age groups are affected, with high disease transmission; the estimated average annual incidence is 175/100 000 population. Harnessing the World Health Organization Global strategy for dengue prevention and control, 2012-2020, Sri Lanka has pledged in its National Strategic Framework to achieve a mortality from deng...
target tracking is the tracking of an object in an image sequence. target tracking in image sequence consists of two different parts: 1- moving target detection 2- tracking of moving target. in some of the tracking algorithms these two parts are combined as a single algorithm. the main goal in this thesis is to provide a new framework for effective tracking of different kinds of moving target...
Today , high accuracy of character recognition is attainable using Neural Network for problems with relatively small number of categories. But for large categories, like Chinese characters, it is difficult to reach the neural network convergence because of the “local minima problem” and a large number of calculation. Studies are being done t o solve the problem by splitting the neural network i...
In this project, we perform a text independent speaker identification experiment with a newly released data set, VoxCeleb (2017)[1], which consists of celebrity interview audio clips downloaded from Youtube. It’s a challenging data set in the sense that there are often multiple vocal sources in the same clip. A MFCC feature vector based Deep Neural Network (DNN) is used as our baseline. It is c...
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