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Using artificial intelligence, Cornell engineers have simplified and reinforced models that accurately calculate the fine particulate matter (PM2.5) – the soot, dust and exhaust emitted by trucks and ...
Preventing pollution attacks in multi-source network coding
multi-source network coding pollution attacks
2015/8/5
Network coding is a method for achieving channel capacity in networks. The key idea is to allow network routers to linearly mix packets as they traverse the network so that recipients receive linear c...
Environmental Pollution and Public Health (EPPH2010) Special Track within iCBBE2010
Environmental Pollution Public Health EPPH2010 Special Track iCBBE2010
2009/7/1
The International conference on Environmental Pollution and Public Health (EPPH2010), which is a special track within iCBBE 2010, will be held from June 21st to 23rd, 2010 in Chengdu, China. You are i...
ANALYSIS OF A NEURO-FUZZY APPROACH OF AIR POLLUTION:BUILDING A CASE STUDY
artificial neural networks fuzzy logic air quality prediction
2010/1/13
This work illustrates the necessity of an Artificial Intelligence (AI)-based
approach of air quality in urban and industrial areas. Some related results of Artificial
Neural Networks (ANNs) and Fuzz...