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Development of a secure multi-factor authentication algorithm for mobile money applications
(NM-AIST, 2022-11)
With the evolution of industry 4.0, financial technologies have become paramount and mobile
money as one of the financial technologies has immensely contributed to improving financial
inclusion among the unbanked ...
A reference machine learning model for prediction of cholera epidemics based-on seasonal weather changes linkages in Tanzania
(NM-AIST, 2020-08)
The Cholera epidemic remains a public threat throughout history, affecting vulnerable
populations living with unreliable water and sub-standard sanitary conditions. Studies have
observed that the occurrence of cholera ...
Machine learning models for predicting decisions to be made by small scale dairy farmers in Eastern Africa
(NM-AIST, 2020-03)
In dairy, lack of decision support tools for identifying farmers' needs and demands have caused
many programs, strategies, and projects to fail. This has led to the inefficient and fragmented
allocation of scarce development ...
A secure and interoperable blockchain-based information sharing system for healthcare providers in developing countries
(NM-AIST, 2020-03)
Systems in the health sector are very crucial for human life and they should be efficient, reliable
and secure. Unfortunately, electronic health record (EHR) systems do not work effectively
when managing multi-institutional ...
Use of agent – based models in characterizing farm types and evolvement in smallholder dairy systems
(NM-AIST, 2020-04)
The ever-increasing demand for milk and dairy products has attracted research interventions
on how milk yield can be increased for the context of smallholder farmers. While bearing
significant contribution on milk ...