Search
Now showing items 1-10 of 10
A Survey on Non-Intrusive Load Monitoring Methodies and Techniques for Energy Disaggregation Problem
(Cornell University, 2017-03)
The rapid urbanization of developing countries coupled
with explosion in construction of high rising buildings
and the high power usage in them calls for conservation
and e cient energy program. Such a programme ...
Modeling malaria sensitive and resistant strains with superinfection
(Communications in Mathematical Biology and Neuroscience, 2019-03-08)
In this paper, a deterministic model to examine the dynamics of malaria with sensitive and resistant strains in the presence of superinfection is formulated and presented. The basic reproduction is computed using next-generation ...
A computational study on the role of water and conformational fluctuations in Hsp90 in response to inhibitors
(Elsevier Inc., 2020-05)
Molecular chaperone Heat Shock Protein 90 (Hsp90) represents an interesting chemotherapeutic target for cancer treatments as it plays a role in cancer proliferation. Thus, continued effort to identify novel inhibitors of ...
A Review of the Mathematical Models for Brucellosis Infectiology and Control Strategies
(Journal of Mathematics and Informatics, 2020-07-21)
Brucellosis is a zoonotic bacterial infection that can be acquired by humans
from infected animals' meat, urine, body fluids, aborted materials, unpasteurized milk,
and milk products or contaminated environment. Mathematical ...
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 ...
IoT-based system for automated floodwater detection and early warning in the East Africa Region: a case study of Arusha and Dar es salaam, Tanzania
(NM-AIST, 2021-08)
Climate change is a major cause of the increase of environmental natural disasters like floods,
droughts, and storms. Although several countries have been affected by such natural disasters,
the East African region is ...
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 ...