This community contains master's Theses and Dissertations in all the courses offered in AUST, from 2009-2025. http://repository.aust.edu.ng/xmlui/handle/123456789/348 2026-06-02T19:40:31Z 2026-06-02T19:40:31Z Maduakor, Francis http://repository.aust.edu.ng/xmlui/handle/123456789/5206 2026-05-26T21:00:42Z 2019-06-20T00:00:00Z

Fast and Accurate Feature-based Region Identification Maduakor, Francis There have been several improvements in object detection and semantic segmentation results in recent years. Baseline systems that drive these advances are Fast/Faster R-CNN, Fully Convolutional Network and recently Mask R-CNN and its variant that has a weight transfer function. Mask R-CNN is the state-of-art. This research extends the application of the state-of-art in object detection and semantic segmentation in drone-based datasets. Existing drone datasets was used to learn semantic segmentation on drone images using Mask R-CNN. This work is the result of my own activity. I have neither given nor received unauthorized assistance on this work.

2019-06-20T00:00:00Z Adam, Saleh Adam http://repository.aust.edu.ng/xmlui/handle/123456789/5205 2026-05-26T21:00:56Z 2024-02-18T00:00:00Z

Multiple String-Matching Using Wavelet Matrix and Burrows-Wheeler Transform (Bwt) Adam, Saleh Adam The problem of multiple string matching is fundamental in computer science, with applications in bioinformatics, text mining, and information retrieval. Traditional methods struggle with large datasets due to high computational and memory requirements. This research proposes a novel algorithm that combines the Burrows-Wheeler Transform (BWT) for text compression and the Wavelet Matrix (WM) for efficient pattern search. The proposed method achieves faster search times, lower memory usage, and effective compression, particularly for repetitive datasets like DNA sequences. Experimental results demonstrate that the method performs better compared to existing algorithms. This work contributes to the advancement of efficient and scalable multiple string-matching techniques, with potential applications in large-scale text processing and bioinformatics. Keywords: Algorithms, Text Compression, Wavelet Matrix, Burrows-Wheeler transform, Multiple String matching

2024-02-18T00:00:00Z Musa, Abdulrahman Adeiza http://repository.aust.edu.ng/xmlui/handle/123456789/5204 2026-05-26T21:00:50Z 2026-04-23T00:00:00Z

Development and Characterization of Bio-Based Basalt Fiber Reinforced Polymer Composites for Automotive Structural Applications Musa, Abdulrahman Adeiza The growing demand for sustainable lightweight materials in the automotive industry has increased interest in basalt fiber-reinforced polymer (BFRP) composites as eco-friendly alternatives to conventional composites. Basalt fibers (BFs) offer excellent mechanical properties, thermal stability, and environmental benefits. However, their application is often limited by weak interfacial bonding with polymer matrices due to their smooth and chemically inert surfaces. This study presents a novel nanocellulose (NC) grafting approach as the primary contribution, where cellulose nanofiber (CNF) and cellulose nanocrystal (CNC) were directly anchored onto silane-functionalized BFs before composite fabrication. Unlike conventional direct NC dispersion in epoxy, which often suffers from agglomeration and poor dispersion, the proposed grafting strategy localizes NC at the fiber–matrix interface, significantly improving load transfer and interfacial adhesion. The NC-grafted BFRP composites exhibited significant improvements in interfacial bonding, resulting in enhanced impact resistance, interlaminar shear strength, and overall mechanical performance compared with composites produced through direct NC–epoxy mixing. In addition, the grafted composites demonstrated improved resistance to moisture absorption, despite the naturally hydrophilic nature of NCs, indicating that surface immobilization of NC effectively mitigates water uptake at the interface. Surface analyses using X-ray Photoelectron Spectroscopy (XPS) and Field Emission Scanning Electron Microscopy (FE-SEM) confirmed successful grafting and improved interfacial morphology. To assess structural applicability, composite components were further evaluated through impact crushing experiments and finite element simulations using Abaqus CAE. The strong agreement between experimental and simulation results confirmed the reliability, energy absorption capability, and crashworthiness of the developed composites for lightweight automotive structures. Overall, this work demonstrates that NC grafting onto BFs is a highly effective strategy for overcoming interfacial bonding and dispersion challenges, offering a promising route toward durable and sustainable automotive composite materials.

2026-04-23T00:00:00Z Abiola, Jimoh Ridwan http://repository.aust.edu.ng/xmlui/handle/123456789/5203 2026-05-25T21:01:28Z 2026-01-15T00:00:00Z

Technology Policy and Sustainable Start-Up Ecosystems: A Comparative Study of Nigeria and India Abiola, Jimoh Ridwan This study compares technology policies and sustainable start-up ecosystems in Nigeria and India. It examines legal frameworks, government initiatives, funding mechanisms, and implementation challenges in both countries. Nigeria relies mainly on the Nigeria Start-up Act 2022, the National Digital Economy Policy and Strategy, and the Companies and Allied Matters Act. India uses the Start-up India Action Plan 2016, the National Digital Communication Policy, and the Companies Act 2013, supported by a more mature and integrated system. The research uses a mixed-method approach: doctrinal legal analysis of 52 policy documents and a descriptive survey of 118 stakeholders from both countries. Findings show that India has a stronger, more sustainable ecosystem with better coordination, larger funding flows, and more supportive regulations. Nigeria faces major barriers including poor infrastructure, limited access to capital, bureaucratic delays, and low awareness of the Start-up Act. Stakeholders strongly support public-private partnerships, improved venture capital access, targeted policy reforms, and collaboration with research institutions to build a more sustainable ecosystem in Nigeria. Lessons from India highlight the value of long-term policy consistency, strong digital infrastructure, and effective funding structures. The study concludes that while Nigeria has progressive laws, faster implementation, better coordination, and infrastructure improvements are essential for a thriving and sustainable start-up ecosystem. Recommendations focus on central coordination, state-level adoption of the Start-up Act, expanded funding vehicles, and stronger public-private collaboration.

2026-01-15T00:00:00Z