Now showing items 1-5 of 5

  • Design of a fuzzy affective agent based on typicality degrees of physiological signals 

    Orero, Joseph Onderi; Rifqi, Maria
    Physiology-based emotionally intelligent paradigms provide an opportunity to enhance human computer interactions by continuously evoking and adapting to the user experiences in real-time. However , there are unresolved ...
  • Detecting scanning computer worms using machine learning and darkspace network traffic 

    Ochieng, Nelson; Ismail, Ateya; Waweru, Mwangi; Orero, Joseph (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 ...
  • Fall army-worm prediction model on the maize crop in Kenya: an internet of things based approach 

    Ateya, Shantal Musungu (Strathmore University, 2018)
    In March 2017, the agricultural sector in Kenya experienced a FAW pest infestation that resulted in the loss of agricultural yields amounting to millions of shillings. The fall armyworm pest caught farmers and agricultural ...
  • Real-time monitoring model for early detection of crop diseases 

    Toroitich, Patrick K.; Orero, Joseph (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 ...
  • Scalable dataspace construction 

    Shibwabo, Bernard K.; Wanyembi, Gregory N.; Ateya, Ismail L.; Omwenga, Vincent O. (Strathmore University, 2017)
    This paper proposes the design and implementation of scalable dataspaces based on efficient data structures. Dataspaces are often likely to exhibit a multidimensional structure due to the unpredictable neighbour relationship ...