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Now showing items 81-90 of 94
Machine Learning Techniques for Malaria Incidence and Tuberculosis Prediction
(AUST, 2021-07-02)
This research proposes machine learning techniques to develop models that would facilitate decision-making in health informatics. It focuses on using efficient machine learning techniques to solve the pressing need in the ...
Diffusion Kinetics for Drug Release and Food Preservation
(AUST, 2022-10-05)
This thesis presents silica nanoparticles for the controlled release of AMACR-conjugated doxorubicin for the inhibition of prostate cancer cell growth. Inorganic MCM-41 silica nanoparticles were synthesized, functionalized ...
Valorization of Agro-Waste for Mechanical Properties’ Improvement of Lateritic Soil for Sustainable Construction
(AUST, 2020-09-06)
This study presents the results of a combined theoretical, experimental and statistical study of the mechanical performance of stabilized lateritic soil for sustainable construction applications. The lateritic soil was ...
Effects of Pressure, Bending and Annealing Temperature on the Mechanical and Optoelectronic Properties of Perovskite Solar Cells
(AUST, 2022-01-05)
The increasing needs for clean and sustainable energy stimulate the growing interest in photovoltaic (PV) technology using organic-inorganic hybrid perovskite materials. However, perovskite solar cells (PSCs) are faced ...
Optimization of Battery Management System for Nano Satellite
(2021-09-12)
A Battery Management system (BMS) is tasked to provide optimum and efficient control over the battery in any satellite EPS. Along with Efficiency, these systems also require intelligent safety measures to avoid catastrophic ...
Biomass Valorization: Assessment and Characterization of Biomass Waste for Valuable Products.
(AUST and PAMI, 2022-04-15)
Research in the use of biomass residues has a huge interest as their potentials span a wide range of applications. Processed residues are useful as green energy such as biofuel (pellets and briquettes), animal feed, ...
Neural Collaborative Filtering and Autoencoder Enabled Deep Learning Models for Recommender Systems
(AUST, 2022-11-05)
Finding important and useful information is getting harder as much more information is available online. The challenge for content producers is to deliver the appropriate content to the appropriate consumers while making ...
A Performant Predict Analytics Approach to Recommender Systems Using Deep Learning Methods
(AUST, 2022-09-05)
Recently, Massive amounts of data have been generated as a result of the frequency at which the amount of information available digitally is advancing. To enable users to effectively utilise the huge amount of information, ...
Cloud Computing Adoption in Nigeria Universities: A Conceptualized Model Based on Stakeholder Perceptions
(AUST, 2022-12-09)
Cloud computing is a technology that represents a shift from traditional ownership of infrastructure and other resources to a more scalable pattern in which computing resources are leased online to businesses on a pay-as-you-go ...
Neural Collaborative Filtering and Autoencoder Enabled Deep Learning Models for Recommender Systems
(AUST, 2022-11-15)
Finding important and useful information is getting harder as much more information is available online. The challenge for content producers is to deliver the appropriate content to the appropriate consumers while making ...