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Now showing items 61-70 of 82
Design and Analysis of C-Band Microstrip Patch Antenna for Satellite Communication
(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 ...
Ensemble Learning for Url Phishing Detection
(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 ...
Case Study of Estimating Wax Appearance Temperature and Application to Wax Deposition Modelling
(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 ...
Feasibility Analysis of Ethane and Flue Gas Injection for Enhanced Oil Recovery with a Niger Delta Case Study
(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 ...
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 ...
A Lightweight Convolutional Neural Network for Breast Cancer Detection Using Knowledge Distillation Techniques
(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
(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 ...
How Machine Learning Can Evaluate The Influence Of Socio-Economic and Climatic Factors in Agricultural Yield: A Case Of Nigeria
(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 ...
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 ...