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Detecting scanning computer worms using machine learning and darkspace network traffic
(Strathmore University, 2017)
The subject of this paper is computer worm detection in a network. Computers worms have been defined as a process that can cause a possibly evolved copy of it to execute on a remote computer. They do not require human ...
Real-time monitoring model for early detection of crop diseases
(Strathmore University, 2017)
The agricultural sector has been a key backbone to Kenya’s economy. Agriculture has played a key role in the economy through agricultural farm produce exports and job creation hence improving and maintaining good farming ...
A Model for real-time remote monitoring of asthmatic patients
(Strathmore University, 2017)
Asthma affects a large number of people in the world and it is the most common chronic illness of the lung among children. Monitoring and assessing the severity of a child’s asthma at home has proven difficult and costly ...