Open access
Final Year Project 2026
I would like to begin by expressing my deepest gratitude to God for providing me with the strength, clarity, and perseverance needed to complete this research.
My heartfelt thanks go to my project supervisor, Dr. Oladiran S. OLABIYI, whose expertise, guidance, and constructiv…
Ozioma Ogbonna
UFTAN UNIVERSITY
Accounting
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Final Year Project 2024
This record links to the original Transformer paper, which introduced a sequence modelling architecture based entirely on self-attention. It is useful for repository testing because it contains formal architecture descriptions, experiments, equations, references, and a complete …
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin
UFTAN UNIVERSITY
Computer Science
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Masters Thesis 2021
This record links to the Faster R-CNN paper, which introduces region proposal networks for efficient object detection. It is suitable for testing robotics, intelligent systems, and engineering repository metadata.
Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun
UFTAN UNIVERSITY
Electrical and Electronics Engineering
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Final Year Project 2020
This record links to the Mask R-CNN paper, which extends object detection with instance segmentation masks. It gives the repository a realistic external PDF for image analysis, computer vision search, and metadata preview testing.
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick
UFTAN UNIVERSITY
Computer Engineering
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Final Year Project 2019
This record links to the word2vec paper, which presents efficient methods for learning distributed word representations. It is useful for testing older but influential NLP documents, keyword matching, and public external PDF access.
Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean
UFTAN UNIVERSITY
Computer Science
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Masters Thesis 2023
This record links to the XGBoost paper, which describes a scalable tree boosting system used widely in data science. It provides a strong test case for statistics metadata, predictive modelling keywords, and external link previews.
Tianqi Chen, Carlos Guestrin
UFTAN UNIVERSITY
Statistics
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Final Year Project 2022
This record links to the variational autoencoder paper, which introduces a practical approach to variational inference with neural networks. It supports realistic testing of statistics, generative modelling, and advanced research metadata.
Diederik P. Kingma, Max Welling
UFTAN UNIVERSITY
Statistics
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Final Year Project 2024
This record links to the DeepLab semantic segmentation paper, which combines deep convolutional networks with atrous convolution and structured prediction. It is useful for testing long technical titles and external PDF document rendering.
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
UFTAN UNIVERSITY
Computer Engineering
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Masters Thesis 2025
This record links to the DINO self-supervised vision transformer paper, which studies emergent properties in learned visual representations. It is useful for testing modern machine learning keywords and external document previews.
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
UFTAN UNIVERSITY
Computer Science
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Final Year Project 2022
This record links to the EfficientNet paper, which proposes compound scaling for convolutional neural network depth, width, and resolution. It supports realistic testing of undergraduate AI project metadata and external PDF handling.
Mingxing Tan, Quoc V. Le
UFTAN UNIVERSITY
Computer Engineering
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Masters Thesis 2021
This record links to a foundational neural machine translation paper that introduced an attention-based alignment approach. It is useful for testing humanities-adjacent computational linguistics records and external document workflows.
Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio
UFTAN UNIVERSITY
Linguistics
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Masters Thesis 2020
This record links to the sequence-to-sequence learning paper, which uses neural networks to map input sequences to output sequences. It provides a realistic external PDF for testing NLP repositories, metadata extraction, and citation generation.
Ilya Sutskever, Oriol Vinyals, Quoc V. Le
UFTAN UNIVERSITY
Computer Science
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Final Year Project 2024
This record links to the RAG paper, which combines neural retrieval with sequence generation for knowledge-intensive NLP tasks. It provides a strong external PDF test case for repository search, AI assistant context retrieval, and citation workflows.
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
UFTAN UNIVERSITY
Information Systems
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Masters Thesis 2023
This record links to the Vision Transformer paper, which adapts transformer architectures to image classification through patch-based image representation. It is useful for validating computer vision categories and AI search relevance.
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
UFTAN UNIVERSITY
Computer Engineering
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Masters Thesis 2026
This record links to the LoRA paper, which introduces low-rank adaptation for efficient fine-tuning of large language models. It is useful for testing AI thesis metadata, modern NLP keywords, and external PDF access.
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen
UFTAN UNIVERSITY
Computer Science
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Masters Thesis 2025
This record links to the chain-of-thought prompting paper, which studies how intermediate reasoning steps improve large language model performance. It is useful for testing education technology records and AI-assisted learning metadata.
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou
UFTAN UNIVERSITY
Educational Technology
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Final Year Project 2025
This record links to the denoising diffusion probabilistic models paper, which describes a generative modelling framework based on iterative noise reversal. It supports realistic testing for modern AI documents, long keywords, and PDF preview workflows.
Jonathan Ho, Ajay Jain, Pieter Abbeel
UFTAN UNIVERSITY
Computer Science
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Final Year Project 2026
This record links to the latent diffusion models paper, which combines compression and diffusion modelling for efficient high-resolution image synthesis. It is suitable for validating external document access and contemporary generative AI metadata.
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer
UFTAN UNIVERSITY
Computer Science
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Masters Thesis 2024
This record links to the U-Net paper, which proposes an encoder-decoder convolutional network for biomedical image segmentation. It provides a realistic health technology document for repository search, previews, and discipline-specific keyword testing.
Olaf Ronneberger, Philipp Fischer, Thomas Brox
UFTAN UNIVERSITY
Biomedical Engineering
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Final Year Project 2023
This record links to the YOLO object detection paper, which frames detection as a single regression problem over bounding boxes and class probabilities. It is useful for testing engineering project records and real-time vision metadata.
Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi
UFTAN UNIVERSITY
Electrical and Electronics Engineering
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Masters Thesis 2022
This record links to the original GAN paper, which introduced adversarial training between a generator and a discriminator. The document is useful for validating machine learning topics, external PDF handling, citation metadata, and repository discovery features.
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio
UFTAN UNIVERSITY
Computer Science
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Masters Thesis 2021
This record links to the Adam optimization paper, which presents an adaptive learning-rate method widely used in deep learning. It is a compact but realistic technical PDF for testing keyword relevance, citation generation, and external document access.
Diederik P. Kingma, Jimmy Ba
UFTAN UNIVERSITY
Computer Science
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Final Year Project 2020
This record links to the dropout paper, which explains how randomly omitting feature detectors during training can reduce overfitting. It is suitable for testing undergraduate AI project metadata, concise abstracts, and direct external PDF linking.
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan R. Salakhutdinov
UFTAN UNIVERSITY
Computer Science
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Masters Thesis 2024
This record links to the BERT paper, which describes bidirectional transformer pre-training for language understanding tasks. It gives the platform a realistic NLP document for search, indexing, keyword generation, citation display, external preview, and metadata validation test…
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
UFTAN UNIVERSITY
Computer Science
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Final Year Project 2025
This record links to the GPT-3 paper, which evaluates large autoregressive language models under few-shot, one-shot, and zero-shot settings. It is useful for stress-testing long author metadata, AI research keywords, external document display, and abstract search.
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henig
UFTAN UNIVERSITY
Computer Science
