IoT Cybersecurity & Deep Learning (2022)
Published In: Journal of Modern Applied Science (MAS), 16(2), 12–22.
As smart infrastructure expands, securing connected devices is paramount. This study introduces an advanced deep-learning model designed to rapidly detect and neutralise DDoS cyber-attacks within IoT networks, safeguarding critical digital ecosystems and public infrastructure.
Demographic Biometrics & Computer Vision (2022)
Published In: Journal of Modern Applied Science (MAS).
Deploys deep transfer learning on a VGG-16 Convolutional Neural Network architecture to accurately classify indigenous Yoruba, Hausa, and Igbo visual datasets. Achieving an outstanding 92.86% classification accuracy, this work lays essential technical groundwork for culturally adaptive user interfaces and localised artificial intelligence.
Tropical Energy & Grid Architecture (2021/2022)
Published In: European-American Journals & Journal of Applied Computer Science.
Addressing power grid instability in tropical climates, this research introduces a Stacked Autoencoder (SAE) deep learning architecture trained on historical meteorological and consumption data. It provides public utilities with a highly accurate, data-driven tool for day-ahead load forecasting and resource management.
Udefi, A. M., Aina, S., Okegbile, S. D., Lawal, A. R. and Oluwaranti, A. I. (2021).
Recognition of West African Indigenous Fruits using a Convolutional Neural Network Model.
International Journal of Computer (IJC), 41(1), 10–24.
Adewuyi, S. A., Aina, S. and Oluwaranti, A. I. (2020).
A Deep Learning Model for Electricity Demand Forecasting Based on Tropical Data.
Journal of Applied Computer Science, 16(1), 5–17.
Jimoh, K. O., Odejobi, O. A., Folaranmi, S. A. and Aina, S. (2020).
Handmade Embroidery Pattern Recognition: A New Validated Database.
Malaysian Journal of Computing (MJoC), 5(1), 390–402.
Adewuyi, S. A., Aina, S., Uzunuigbe, M., Lawal, A. R. and Oluwaranti, A. I. (2019).
An Overview of Deep Learning Techniques for Short-term Electricity Load Forecasting.
Journal of Applied Computer Science, 15(4), 75–92.
Aina, S., Sulayman, R. A., Okegbile, S. D., Lawal, A. R. and Oluwaranti, A. I. (2019).
A Framework for a Blood Seeker–Donor Matching System.
Computer Reviews Journal, 4, 58-68.
Okegbile, S. D., Aina, S., Akinmodun, S., Oluwaranti, A. I. and Lawal, A. (2019).
A Multimodal Approach to Enhancing Automobile Security.
International Journal of Computer Vision and Image Processing (IJCVIP), 9(2).
Gambo, I. P., Aina, S., Agbonkhese, C., Gambo, O. O. and Ojo, B. J. (2018).
Software Analysis and Design of a Vocational Career System: Developmental Perspective.
Ife Journal of Information and Communication Technology (IJICT), 3(6).
Okegbile, S. D., Makanjuola, P., Aina, S. and Oluwaranti, A. (2018).
An Architectural Framework for Facebook Messenger Chatbot Enabled Home Appliance Control System.
International Journal of Ambient Computing and Intelligence (IJACI), 10(2).
Okegbile, S., Oluwaranti, A. and Aina, S. (2018).
On evaluating the efficacy of Predictive Models for Cognitive Radio Spectrum availability in Nigeria.
Wireless Engineering and Technology, 9, 49-65.
Aina, S., Okegbile, S. D., Oluwaranti, A., Okoro, B. O. and Obasanya, T. (2017).
Toward a more robust Home Automated System: Introducing voice activation technique via PubNub.
International Journal of Information Technology and Web Engineering (IJITWE), 14(3).
Lawal, A., Aina, S., Okegbile, S., Oluwaranti, A., Ayeni, S. and Omole, D. (2017).
Palm Vein Recognition System Based on Derived Pattern and Feature Vectors.
International Journal of Digital Literacy and Digital Competence, 8(2).
Okegbile, S. D., Aina, S. and Ogunleye, G. K. (2017).
An Improved and Cost-Effective Radio Frequency based Object Detection System.
International Journal of Computer Applications, 174(5): 33-39.
Lawal, A. R., Aina, S., Ayeni, S., Okegbile, S. D. and Oluwaranti, A. I. (2018).
Systems Theory Approach to Engineering Education: A Review of Feedback Structures.
Proceedings of the 12th International Multi-Conference on ICT Applications, pp. 243–250.
Aina, S., Zhou, M., Chambers, J. A. and Phan, R. C.-W. (2014).
A New Spontaneous Expression Database and a Study of Classification-based Expression Analysis Methods.
Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), pp. 2505–2509.
Aina, S., Phan, R. C.-W. and Chambers, J. A. (2013).
Robust Spontaneous Facial Expression Recognition using Sparse Representation.
IET Intelligent Signal Processing Conference (ISP) Proceedings, pp. 7.10–7.14.
Aina, S., Rahulamathavan, Y., Phan, R. C.-W. and Chambers, J. A. (2012).
Spontaneous Expression Classification in the Encrypted Domain.
Institute of Mathematics and its Applications (IMA 2012), Birmingham, UK. arXiv preprint arXiv:1403.3602.
B.Eng. Project (2008):
Automatic Speech Segmentation.
Department of Electronics, University of Kent, United Kingdom.
M.Sc. Dissertation (2009):
A Comparative Study of e-Commerce Security between Developing IT Societies and Developed IT Societies: Using Nigeria and the United Kingdom as Case Studies.
Department of Computer Science, Loughborough University, United Kingdom.
Ph.D. Thesis (2015):
Loughborough University Spontaneous Expression Database and Baseline Results for Automatic Emotion Recognition.
Department of Electrical and Electronics Engineering, Loughborough University, United Kingdom.
Olukiran, O., Omidiora, E., Olabiyisi, S., Aro, T. and Aina, S.
Chronic Kidney Disease Predictive Model using ACO-KNN Algorithm.
(Investigation into medical data classification and algorithmic disease prediction.)
Aina, S., Adewuyi, S. A., Amuchi, C. D. and Oluwaranti, A. I.
An Unsupervised Deep Architecture for Forecast of a Tropical Electricity Load.
(Investigation into short-term energy demand forecasting).
Aina, S., Asamu, D. O., Okegbile, S. D., Lawal, A. R. and Oluwaranti, A. I.
Development of an Ethnic Classification Model Based on Traditional Attires.
(Investigation into cultural computer vision models).
Coli, O. G., Aina, S., Okegbile, S. D., Lawal, A. R. and Oluwaranti, A. I.
Distributed Denial of Service Attacks Detection in Internet of Things using Deep Gaussian-Bernoulli Restricted Boltzmann Machine.
(Investigation into IoT network defense architectures).
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