• A hybrid machine learning model for predicting diseases in coffee production. 

  Munyao, Joseph Kioko (Cuk, 2025)

  In Kenya, coffee farming faced various challenges, including widespread pests and diseases that endangered both the quality and yield of coffee. Traditional farming mechanisms were unable to provide timely interventions, ...
• A predictive intelligence model for early detection of non- communicable diseases: case study Kitui county. 

  Chepngetich, Nicole (Cuk, 2025)

  Non-communicable diseases continue to claim the lives of the Kenyan population particularly in low-resource settings like Kitui. In this study, a predictive intelligence model was formulated based on clinical, demographic, ...
• Cybersecurity readiness in Kenyan Saccos: Bomet county case Study and development of cloud-based CTI platform for Saccos. 

  Kiprotich Sigei, Pius. (Cuk, 2025)

  The study investigated the strength of the cybersecurity posture of SACCOs in Kenya by assessing current practices, developing a CTI sharing platform, and formulating supportive policy guidelines. The study was guided by ...
• Enhancing the categorization of sustainability reports using a multimodal deep learning approach. 

  Sawe, Sarah Chepkogei (Cuk, 2025)

  There is a growing need for organisations to align their operations and services with the sustainable development goals. In Kenya and most countries across the globe, it is mandatory requirement, for organisations especially ...
• Machine learning predictive model for evaluating the weight of mitigates on school dropout risk. 

  Cherop Rono, Sylvia (Cuk, 2025)

  Machine learning predictive approach is created to evaluate the impact of varying factors on school desertion in Narok West Sub-County institutions through analysis of local population dynamics.The lack of evidence-based ...

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