• 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 ...
  
  
• Assessment of Beneficiation Process of a Nigerian Barite Source for Utilization as Oil Drilling Mud 

  Afolayan, David Oluwasegun (2017-12-12)

  The texture and size distribution of various species of gangue minerals affect the beneficiation of barite and lower the specific gravity of barite as-mined. About 9% of the barite used in the oil industry in Nigeria is ...
  
  
• Ensemble Learning for Url Phishing Detection 

  Igwilo, Chiamaka Mary (2021-07)

  Phishing is a social engineering attack that has been perpetuated for long and is still a prominent attack with an attending high number of victims. The adverse effect of this allows phishers easy access to sensitive ...
  
  
• Neuro-Super Twisting Sliding Mode Control of a Reaction Wheel 

  Attah, Idoko Sunday (AUST, 2021-09-10)

  Sliding mode controllers are renowned for their robustness and fast dynamic response in speed control of direct current motors. The major drawback to their application is the chattering phenomenon which is harmful to ...
  
  
• Parametric Analysis of a Convergent-Divergent Nozzle for 2N Cold Gas Propulsion of a Nanosatellite 

  Ibrahim, Jemila Jummai (AUST, 2021-09-09)

  In recent times, the concepts of microsatellite development have been a versatile subject ranging from their ability to reduce overall cost of satellites to their improved efficiency and adaptability. This has brought new ...
  
  
• Design and Analysis of C-Band Microstrip Patch Antenna for Satellite Communication 

  Ikwunne, Chineye Ndidiamaka (AUST, 2021-09-01)

  Low gain and narrow bandwidth associated with microstrip patch antennas for satellite application is studied in this submission. Evaluation of the best feed technique with insertand edge using HFSS software was done with ...
  
  
• Optimization of Battery Management System on Nano Satellite 

  Edet, David Kokoette (AUST, 2021-09-10)

  Battery Management Systems (BMS) are tasked so as to provide an optimum and efficient control over the battery in any satellite EPS. Along with efficiency, these systems also require intelligent safety measures to avoid ...
  
  
• Estimation of Shortwave Broadband Irradiance at the Bottom of the Atmosphere Over Ilorin in Central Nigeria Using Radiative Transfer Model 

  Dauda, Kashim Audu (AUST, 2021-09-01)

  Shortwave Broadband Irradiance (SBI) makes up about 96% of the Total Solar Irradiance (TSI) received on earth, and it is known to be the major driver of climate change. The SBI also contains ultraviolet radiation, which ...
  
  
• Evaluation of Machine Learning Tools for Predicting Sand Production 

  Ngwashi, Ronald Afungchwi (AUST, 2021-03-10)

  Data analytics has only recently picked the interest of the oil and gas industry as it has made data visualization much simpler, faster, and cost-effective. This is driven by the promising innovative techniques in developing ...
  
  
• Assessing the Implications of Low Carbon Emissions on Future Oil Production in Nigeria 

  Chukwujama, Chiamaka Chiagoziem (AUST, 2021-06-13)

  Nigeria economy solidly depends on fossil fuels, which serve as the major source of energy and revenue. Fossil fuels, especially petroleum, are readily available to meet the increasing energy demand of a growing population. ...
  
  
• Framework for Optimal Economic Exploration and Exploitation of Petroleum Resources in Cameroon 

  Azah, Daizy-Clay Che (AUST, 2021-06-03)

  Economic exploration and exploitation of petroleum resources is regarded as being optimal when the surrounding fiscal regime is mutually beneficial to both the government and the investors as well as other stakeholders, ...
  
  

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