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Effective mining of crime patterns from growing volumes of data using improved FP-growth algorithm
(NM-AIST, 2019-02)
The spate of crimes in Tanzania, as in many other countries, has been on the increase in the last
few years. The successes recorded by criminals have been attributed by improper mechanisms
for crime detection, prevention ...
Monitoring of the grain crops in storage facilities through wireless communication technology
(NM-AIST, 2018-09)
The storage condition measurement of grain crops is almost non-invasive to date; most of the
technologies can be used to monitor the storage. Electromagnetic radiation is still popular
wireless technique for grain storage ...
Demand-side management framework for deregulated electricity markets
(NM-AIST, 2018-07)
Stability and reliability of electricity grids are at stake because of demand growth rate outstripping
supply, aging of transmission and distribution infrastructure, and the energy sector globally is fast
moving towards ...
Modeling the dynamics, control and economic loss of newcastle disease in village chicken: a case of Pwani region in Tanzania
(2019-03)
Newcastle disease (ND) is a highly contagious viral bird disease affecting the domestic and
other wild birds. The disease is a major threat to the farming of village chicken by small,
medium, and large scale farmers.
In ...
Developing a stochastic model for studying and simulating sediment transport in ports and harbors
(NM-AIST, 2020-03)
A particle model for describing and predicting sediment transport in shallow water is developed
with the use of random walk models by showing consistency between the Fokker-Plank equation
and the Advection diffusion ...
Mathematical modeling of the effect of seasonal weather variations on the dynamics of plague disease
(NM-AIST, 2019-02)
A mathematical model to study the effect of seasonal weather variation on the dynamics of
plague disease is developed and analyzed. Apart from being historical, plague disease caused
by a gram negative bacteria called ...
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 ...
Energy efficient wireless sensor network for monitoring temperature and relative humidity in forest
(NM-AIST, 2020-04)
Monitoring the forest‟s weather has been essential to living things over the years. Currently,
there is a shortage of information on real-time temporal and spatial environmental conditions
of the forest that drive forest ...
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 ...
Development of secured algorithm to enhance the privacy and security template of biometric technology
(NM-AIST, 2020-03)
The security of information and personal privacy are the growing concerns in today’s human
life worldwide. The storage of biometric data in the database has raised the prospect of
compromising the database leading to ...