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Olusanjo Olugbemi Fasola

Observed names: FASOLA, O. O., Fasola Olusanjo, Fasola, Dr. Olusanjo Olugbemi, Fasola, Olusanjo, O. O. Fasola, O.O. Fasola, OLUSANJO OLUGBEMI FASOLA, Olugbemi Olusanjo Fasola, Olusanjo Fasola, Olusanjo Olugbemi
ORCID: 0000-0003-2428-8005
Observed ORCID: 0000-0003-2428-8005
OpenAlex ID: A5031701677
Harnessing Disruptive Technologies for Flood Prediction and Advisory Systems through Persuasive Modeling
2025 · Ugochukwu Onwudebelu, John O. Ugah, et al. · Digital Technologies Research and Applications · 4
Securing Online Platforms: Hybrid Machine Learning Approaches for URL Phishing Detections
2026 · Ugochukwu Onwudebelu, John O. Ugah, et al. · Journal of Intelligent Communication · 3
Experience-Weighted Cognitive Complexity Metric for Software Understandability: A Cognitive-Informatics Perspective
2026 · Hadiza Salihu Idris, Olawale Mustapha Isah, et al. · ITM Web of Conferences · 2
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A behavior-aware intelligent decision framework for real-time credit card fraud detection using deep learning and adaptive user profiling
2026 · Ugochukwu Onwudebelu, Olusanjo Olugbemi Fasola, et al. · Engineering Applications of Artificial Intelligence · 1
An Escrow-Based Peer-to-Peer Online Payment System for Fraud Reduction
2026 · Olugbemi Olusanjo Fasola, Ugochukwu Onwudebelu, et al. · Methods in Science and Technology Studies · 1
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Formal Architecture and Performance Verification of a Blockchain-based Decentralized Credential System
2026 · UGOCHUKWU ONWUDEBELU, OLUSANJO OLUGBEMI FASOLA · Journal of Systematic and Modern Science Research · 1
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A Conceptual Review of Quantum-Enhanced Resource Allocation Strategies for Sustainable Energy Management in Smart Cities
2026 · J. A. Ojeniyi, O. O. Fasola, et al. · Advances in Multidisciplinary & Scientific Research Journal Publication · 1
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Turning Data Into Actionable Intelligence for Flood Prediction and Advisory System
2026 · ONWUDEBELU, U., FASOLA, O. O., et al. · Journal of Systematic and Modern Science Research · 1
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A Personalized Real-Time Framework for Credit Card Fraud Detection Using Multilayer Perceptron Networks
2026 · Olusanjo Olugbemi Fasola, Ugochukwu Onwudebelu, et al. · Lecture notes in networks and systems
Detection of Cyberbullying on Facebook Twitter (X) Using Bi-Directional Long Short-Term Memory and Extreme Gradient Boost Algorithms
2026 · Joseph Adebayo Ojeniyi, Yusuf Adamu Mohammed, et al. · Digital Technologies Research and Applications
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A Lightweight Automated SQL Injection Testing Tool with Integrated Discovery and Structured Reporting
2026 · Olusanjo Olugbemi Fasola, Ugochukwu Onwudebelu, et al. · European Conference on Cyber Warfare and Security
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Cyber Threat Intelligence Frameworks for Converting Heterogeneous Threat Feeds into Actionable Quantitative Risk Intelligence: A Systematic Review
2026 · Joseph Adebayo Ojeniyi, Baha Catherine Maigida, et al. · International Journal of Research and Innovation in Social Science
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Cyber Threat Intelligence Frameworks for Converting Heterogeneous Threat Feeds into Actionable Quantitative Risk Intelligence: A Systematic Review
2026 · Joseph Adebayo Ojeniyi, Baha Catherine Maigida, et al. · International Journal of Research and Innovation in Social Science
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Crack Detection In Surface Pipeline Images Using Deep Learning
2026 · Mutiat Olanrewaju, Joseph D. Akinyemi, et al. · Advances in Multidisciplinary & Scientific Research Journal Publication
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A Lightweight Pseudorandom Function Construction from One-Way Functions for Resource-Constrained IoT Devices
2026 · J.A. Ojeniyi, O.O. Fasola, et al. · Advances in Multidisciplinary & Scientific Research Journal Publication
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Finite-Length Analysis of Operational Perfect Secrecy and Key-Length Trade-Offs: A Systematic Review of Security Implications and Risk Analysis
2026 · J.A. Ojeniyi, O.O. Fasola, et al. · Advances in Multidisciplinary & Scientific Research Journal Publication
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Systematic Literature Review: Risk Assessment of AES for Secure Data Communication: Capabilities, Limitations, and Research Directions
2026 · J.A. Ojeniyi, O.O. Fasola, et al. · Advances in Multidisciplinary & Scientific Research Journal Publication
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Computational Cost Analysis of Symmetric and Asymmetric Cryptographic Algorithms in Real-time Applications for an Optimized Hybrid Approach that Balances Speed and Security
2026 · J. A Ojeniyi, O.O. Fasola, et al. · Advances in Multidisciplinary & Scientific Research Journal Publication
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Comparative Evaluation of AES, Camellia, and CLEFIA for Lightweight Environments: A Post-2023 Systematic Literature Review and Meta-Analysis
2026 · J.A. Ojeniyi, O.O. Fasola, et al. · Advances in Multidisciplinary & Scientific Research Journal Publication
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Architectural Framework for an Enhanced Multi-Party Fully Homomorphic Encryption Scheme
2026 · Joshua Edward Mamza, Idris Ismaila, et al. · International Conference on Cyber Warfare and Security
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Experience-Weighted Cognitive Complexity Metric for Software Understandability: A Cognitive-Informatics Perspective
2026 · Hadiza Salihu Idris, Olawale Mustapha Isah, et al. · Springer Link (Chiba Institute of Technology)
Modelling Programmer Experience in Cognitive Complexity: The EWCCM Framework
2026 · Onwudebelu, Dr. Ugochukwu, Fasola, Dr. Olusanjo Olugbemi, et al. · Zenodo (CERN European Organization for Nuclear Research)
Developing a Digital Crowdfunding Platform for Student Empowerment in Higher Institutions: Insights from AE-FUNAI
2025 · Ugochukwu Onwudebelu, Olusanjo Fasola, et al. · Faculty of Natural and Applied Sciences Journal of Computing and Applications
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Empowering Undergraduates through Technology: Designing and Implementing a Lecture Slides-Notes-Based Bucket List for Enhanced Productivity
2025 · Onwudebelu, Ugochukwu, Fasola, Olusanjo, et al. · Faculty of Natural and Applied Sciences Journal of Mathematical and Statistical Computing
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A Multi-Class Facial Emotion Recognition System for Still Images 1Omage Micheal, 2Fasola Olusanjo & 3Woods Nancy C. 1,3University of Ibadan, Ibadan, Nigeria 2Federal University of Technology, Minna, Nigeria E-mails: [email protected], [email protected], [email protected] Phone Nos: 1+2348084121913, 2+2348023138034, 3+2348037273291 ABSTRACT Facial expressions serve as a potent and natural means of human communication, conveying a wide range of emotions. In the realm of artificial intelligence and computer vision, recognizing these emotions from facial cues has gained significant importance. Most research focus on detecting a single dominant emotion on any given facial image, although an image could portray several emotions. This work presents a multi-class facial emotion recognition system capable of predicting and quantifying the presence of multiple emotions in a single facial image. The system employs a Convolutional Neural Network (CNN) architecture optimized for multi-label classification across eight emotion classes. The AffectNet dataset, comprising 27,836 images with diverse ages, ethnicities, and real-world settings, was utilized for training the model, to enhance generalization capabilities. The model's performance was evaluated on an impartial benchmark dataset, FER-Plus, containing 35,710 images. The CNN model performed well, with a micro F1-score of 0.7 and a macro F1-score of 0.7 on the test set from AffectNet, and a micro F1-score of 0.7 and a macro F1-score of 0.4 on the FER-Plus dataset. Qualitative analysis demonstrated the model's capability in recognizing blended and subtle facial expressions, providing significant probability distributions across multiple emotion labels. The developed system advances the state-of-the-art in multi-label facial emotion recognition by successfully modeling emotion mixtures, contributing to a deeper understanding of this challenging task and enabling practical applications in affective computing, human-computer interaction, psychological studies, and improving accessibility and inclusivity in emotional computing technologies. Keywords: Multi-Class, Facial Emotion Recognition, Security, System, Still Images, Models, Detection Omage, M. Fasola, O. & Woods, N.C. (2024): A Multi-Class Facial Emotion Recognition System for Still Images. Journal of Advances in Mathematical & Computational Science. Vol. 12, No. 3. Pp 67-80. Available online at www.isteams.net/mathematics-computationaljournal. dx.doi.org/10.22624/AIMS/MATHS/V12N3P6
2024 · Micheal Omage, Olusanjo Fasola, et al. · Advances in Multidisciplinary & Scientific Research Journal Publication
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Works count: 27
Citation count: 15
H-index: 2
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