Now showing items 1-10 of 12

    • 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 ...
    • Machine learning algorithm for advanced persistent threat detection 

      Omollo, Vincent; Abeka, Silvance (Strathmore University, 2019-08)
      Networked computer syster:ns are increasingly being employed to run critical infrastructural activities by both private companies and governments. Advanced persistent threats have emerged as serious security threats to ...
    • A Machine learning model for task allocation 

      Kibiwot, Simon Kipkemboi (Strathmore University, 2020-09)
      Task allocation is one among the key planning exercises that plays a major role in an organization’s quest to satisfy Service Level Agreements and to attain operational excellence. Task allocation is a difficult issue that ...
    • A Model to measure online student engagement using eye tracking and body movement analysis 

      Mido, Jude Austin (Strathmore University, 2021)
      Many institutions are adopting remote learning as way of expanding and offering their programs to mostly undergraduate students and adults seeking further education or training, and as a way of doing this at low costs; ...
    • Multi-sense agent for proactive screening of alcohol addiction 

      Muchiri, Wallace (Strathmore University, 2019-08)
      Addiction is a complex condition, a brain disease that is manifested by compulsive substance use despite harmful consequence(s). People with addiction (severe substance use disorder) have an intense focus on using certain ...
    • 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 ...
    • Smart fertilizer recommendation through NPK analysis using Artificial Neural Networks 

      Siva, Faith (Strathmore University, 2019)
      Agricultural practices, tools and technologies have taken a new paradigm. Precision agriculture is essential to ensure that site-specific crop management is implemented, which includes soil nutrient remedies per crop ...