• Assessment of Groundwater Potential in Kuje Area Council Using Multi-Criteria Decision Analysis 

  Wategire, Daniella Eyiotorishe (AUST, 2023-01-23)

  Over-exploitation of groundwater over the years has imposed immense pressure on the global groundwater resources. As demand of potable water increases across the globe for human consumption, agriculture and industrial uses, ...
  
  
• Mechanical Performance of PVA/PAN Complexed with Aluminium Oxide (Al2O3) Nanopaticles for Solid Polymer Electrolyte 

  Daudu, Suleiman Danjuma (AUST, 2022-11-10)

  Interest in solid polymer blends has increased due to the demand for flexible, lightweight, and long-lasting energy devices. Traditional lithium-ion batteries contain liquid electrolytes that pose a serious safety risk ...
  
  
• Effect of Partial Replacement of Cement with Metakaolin on the Physio-Mechanical Properties of Excavated Soil Reinforced with Natural Borassus Fruit Fibre. 

  Olanipekun, Khadijat Adeola (AUST, 2023-06-07)

  Large amounts of excavated soil, both clean and polluted, are frequently produced during construction projects which are typically disposed of in landfills. This research explored a method to re-use the excavated soil as ...
  
  
• Surface Morphology and Mechanical Characterization of MoO3/PEDOT:PSS Blend Thin Films For Organic Solar Cells and Light Emitting Diode Applications 

  Kum, Tatchen Buh (AUST, 2022-09-07)

  Access to cheap and reliable electricity is a requirement for improved quality of life and industrialization. Solar energy harvesting for electricity generation has been a promising area where solar cells are combined into ...
  
  
• An Efficient Time Series Model for Tax Revenue Forecasting: A Case of Nigeria 

  Ajisola, Ayotola Segun (AUST, 2023-05-05)

  Federal government independent revenue, non-oil revenue and oil revenue are some of the different sources of money for the Nigerian government. The sources of tax revenue include Pay as You Earn (PAYE), Stamp Duty (STD), ...
  
  
• Co−Semigroups of Contradiction on Banach Spaces and Applications 

  Isedowo, Joshua Wale (AUST, 2023-03-17)

  Let X be a Banach space and A : D(A) ⊂ X −→ X be an unbounded linear operator on X. We study the concept of C0−semigroup of contraction on arbitrary Banach space X and give the two characterizations of A called infinitesimal ...
  
  
• Mitigation Measures to Reduce CO2 Emissions as a Greenhouse Gas and Enhance its Utilization in Petrolchemical Industries. 

  Usman, Ismail (AUST, 2023-07-15)

  The removal and use of the greenhouse gas, carbon dioxide (CO2), which contributes significantly to global warming, from flue gas was investigated using the absorption method in this study. To investigate its utilisation, ...
  
  
• Measurable Set-Valued Functions and Bochner Integrals 

  Eze, Leonard Chidiebere (2017-12-12)

  In this thesis, several concepts from Topology, Measure Theory, Probability Theory, and Functional analysis were combined in the study of the measurability of set-valued functions and the Bochner integral. We started with ...
  
  
• Neural Collaborative Filtering and Autoencoder Enabled Deep Learning Models for Recommender Systems 

  Arnold, Kwofie (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 ...
  
  
• A Lightweight Convolutional Neural Network for Breast Cancer Detection Using Knowledge Distillation Techniques 

  Modu, Falmata (AUST, 2023-01-23)

  The second most heterogeneous cancer ever discovered is Breast Cancer (BC). BC is a disease that develops from malignant tumors when the breast cells begin to grow abnor-mally. Although it grows in the breast, it can spread ...
  
  
• A Performant Predict Analytics Approach to Recommender Systems Using Deep Learning Methods 

  Obaje, Williams Usman (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 

  Umar Ibrahim, Hajara (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 ...
  
  
• How Machine Learning Can Evaluate The Influence Of Socio-Economic and Climatic Factors in Agricultural Yield: A Case Of Nigeria 

  Dappa Tamuno-Opubo, Godwin (AUST, 2023-05-13)

  The major international agencies in charge of nutrition are becoming increasingly concerned about global agricultural production in particular. Food insecurity has emerged in some populated areas, including Africa, as a ...
  
  
• Impact of Cyber -Security on Financial Fraud in Commercial Banks in Nigeria: A Case Study of Zenith Banks in Abuja 

  Ekong Eyo, Unwana (AUST, 2023-05-22)

  The study examined the impact of cyber-security of financial fraud in commercial banks in Nigeria: a case study of Zenith banks in Abuja. The study on the following objectives; the type of electronic frauds perpetrated in ...
  
  
• Optimization of Infill Wells in Heterogenous Reservoirs Using a Genetic Algorithm 

  Olayiwola, Teslim Olakunle (AUST, 2018-02-02)

  Optimal positioning of wells has always been the priority of most reservoir engineers in the face of the dwindling global price of crude oil. As it is always the objective to maximize recoverable reserves over the years, ...
  
  
• A Lightweight Convolutional Neural Network for Breast Cancer Detection Using Knowledge Distillation Techniques 

  Modu, Falmata (AUST, 2023-01-15)

  The second most heterogeneous cancer ever discovered is Breast Cancer (BC). BC is a disease that develops from malignant tumors when the breast cells begin to grow abnormally. Although it grows in the breast, it can spread ...
  
  
• Neural Collaborative Filtering and Autoencoder Enabled Deep Learning Models for Recommender Systems 

  Arnold, Kwofie (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 ...
  
  
• Optimization of Battery Management System for Nano Satellite 

  Edet, David Kokoette (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 ...
  
  
• Feasibility Analysis of Ethane and Flue Gas Injection for Enhanced Oil Recovery with a Niger Delta Case Study 

  Djossou, Felicienne Kanfoui-Clementi (2021-05-12)

  Enhanced oil recovery (EOR) using ethane gas or flue gas has proven to be successful in some regions of the world, but these methods have not been implemented in the Niger Delta. This work investigates the technical and ...
  
  
• Case Study of Estimating Wax Appearance Temperature and Application to Wax Deposition Modelling 

  Ezeagu, Ijeoma Vera (2021-12-12)

  The need for cheap energy to run the world economy has propelled a lot of petroleum companies to produce oils that have high paraffin content. The paraffin, also referred to as wax, poses a problem when it forms and deposits ...
  
  

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