03 / Publications

Research Publications

104+ publications indexed on Scopus. Searchable list below includes confirmed papers with direct links to primary sources (IEEE Xplore, ScienceDirect, MDPI, Springer).

Showing 71 of 71 publications

2025
2025
Security and Privacy of Cyber-Physical Systems: Emerging Trends, Technologies, and Applications (Edited Book)
Imoize, A. L., Montlouis, W., Popoola, S. I., & Hammoudeh, M. (Eds.) · Routledge · 2025 View →
Book
2025
Multi-Stage Deep Learning for Intrusion Detection in Industrial Internet of Things
Popoola, S. I., Tsado, Y., Ogunjinmi, A. A., & Rawat, D. B. · IEEE Internet of Things Journal · 2025 View →
IEEE IoT
2024
2024
Computational Modeling and Simulation of Advanced Wireless Communication Systems (Edited Book)
Imoize, A. L., Montlouis, W., Obaidat, M. S., Popoola, S. I., & Hammoudeh, M. (Eds.) · CRC Press · 2024 DOI →
Book
2023
2023
Federated Deep Learning for Intrusion Detection in Consumer-Centric Internet of Things
Popoola, S. I., Imoize, A. L., Hammoudeh, M., Adebisi, B., Jogunola, O., & Aibinu, A. M. · IEEE Transactions on Consumer Electronics · 2023 DOI →
IEEE TCE
2022
2022
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices
Popoola, S. I., Ande, R., Adebisi, B., Gui, G., Hammoudeh, M., & Jogunola, O. · IEEE Internet of Things Journal, 9(5), 3930–3944 · 2022 · 237+ citations DOI →
IEEE IoT
2022
Data-Driven Optimal Planning for Hybrid Renewable Energy System Management in Smart Campus
Ajiboye, A. A., Popoola, S. I., et al. · Sustainable Energy Technologies and Assessments, 52, 102189 · 2022 DOI →
Elsevier
2022
CBLSTM-AE: A Hybrid Deep Learning Framework for Predicting Energy Consumption
Jogunola, O., Adebisi, B., Hoang, K. V., Tsado, Y., Popoola, S. I., et al. · Energies, 15(3), 810 · 2022 DOI →
MDPI
2021
2021
Hybrid Deep Learning for Botnet Attack Detection in the Internet of Things Networks
Popoola, S. I., Adebisi, B., Hammoudeh, M., Gui, G., & Gacanin, H. · IEEE Internet of Things Journal, 8(6), 4944–4956 · 2021 · 184+ citations DOI →
IEEE IoT
2021
Consensus Algorithms and Deep Reinforcement Learning in Energy Market: A Review
Jogunola, O., Adebisi, B., Ikpehai, A., Popoola, S. I., Gui, G., et al. · IEEE Internet of Things Journal, 8(6), 4211–4227 · 2021 DOI →
IEEE IoT
2021
SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks
Popoola, S. I., Adebisi, B., Ande, R., Hammoudeh, M., Anoh, K., & Atayero, A. A. · Sensors, 21(9), 2985 · 2021 DOI →
MDPI
2021
Memory-Efficient Deep Learning for Botnet Attack Detection in IoT Networks
Popoola, S. I., Adebisi, B., Ande, R., Hammoudeh, M., & Atayero, A. A. · Electronics, 10(9), 1104 · 2021 DOI →
MDPI
2021
Stacked Recurrent Neural Network for Botnet Detection in Smart Homes
Popoola, S. I., Adebisi, B., Hammoudeh, M., Gacanin, H., & Gui, G. · Computers & Electrical Engineering, 92, 107039 · 2021 DOI →
Elsevier
2021
Federated Deep Learning for Collaborative Intrusion Detection in Heterogeneous Networks
Popoola, S. I., Gui, G., Adebisi, B., Hammoudeh, M., & Gacanin, H. · IEEE VTC2021-Fall, 1–6 · 2021 DOI →
IEEE Conf.
2020
2020
Machine Learning Approach for Prediction of Paracetamol Adsorption Efficiency on Chemically Modified Orange Peel
Afolabi, I. C., Popoola, S. I., & Bello, O. S. · Spectrochimica Acta Part A, 243, 118769 · 2020 DOI →
Elsevier
2020
Modeling Pseudo-Second-Order Kinetics of Orange Peel–Paracetamol Adsorption Using Artificial Neural Network
Afolabi, I. C., Popoola, S. I., & Bello, O. S. · Chemometrics and Intelligent Laboratory Systems, 203, 104053 · 2020 DOI →
Elsevier
2020
Thermal Decomposition of Rice Husk: A Comprehensive Artificial Intelligence Predictive Model
Alaba, P. A., Popoola, S. I., et al. · Journal of Thermal Analysis and Calorimetry, 140(4), 1811–1823 · 2020 DOI →
Springer
2020
A Survey on Deep Learning for Steering Angle Prediction in Autonomous Vehicles
Gidado, U. M., Chiroma, H., et al., Popoola, S. I., & Al-Garadi, M. A. · IEEE Access, 8, 163797–163817 · 2020 DOI →
IEEE Access
2020
Secure Transmission in an Unfriendly Environment
Olawoyin, L. A., Faruk, N., Oloyede, A. A., Popoola, S. I., et al. · ICT Express, 6(2), 104–108 · 2020 DOI →
Elsevier
2020
Calibration of Empirical Models for Path Loss Prediction in Urban Environment
Abolade, R. O., Akintade, D. J., Popoola, S. I., et al. · ICSSA 2020, 301–310 DOI →
Conf.
2020
Support Vector Machine for Path Loss Predictions in Urban Environment
Abolade, R. O., Famakinde, S. O., Popoola, S. I., et al. · ICSSA 2020, 995–1006 DOI →
Conf.
2019
2019
Path Loss Predictions in the VHF and UHF Bands Within Urban Environments: Empirical, Heuristics and Geospatial Models
Faruk, N., Popoola, S. I., Surajudeen-Bakinde, N. T., et al. · IEEE Access, 7, 77293–77307 · 2019 DOI →
IEEE Access
2019
Trends and Patterns of Broadband Internet Access Speed in a Nigerian University Campus
Atayero, A. A., Popoola, S. I., et al. · Data in Brief, 23, 103705 · 2019 DOI →
Elsevier
2019
Towards a More Efficient and Cost-Sensitive Extreme Learning Machine: A State-of-the-Art Review
Alaba, P. A., Popoola, S. I., et al. · Neurocomputing, 350, 70–90 · 2019 DOI →
Elsevier
2019
Modelling Large-Scale Signal Fading in Urban Environment Based on Fuzzy Inference System
Popoola, S. I., Atayero, A. A., Adebisi, B., et al. · 2019 IEEE COMCAS DOI →
IEEE Conf.
2019
Artificial Intelligence Techniques for Electrical Load Forecasting in Smart and Connected Communities
Alagbe, V., Popoola, S. I., et al. · ICSSA 2019, 219–230 DOI →
Conf.
2019
A Cloud-Based Intelligent Toll Collection System for Smart Cities
Popoola, S. I., Popoola, O. A., et al. · NGCT Conference, 653–663 DOI →
Conf.
2019
A Web Framework for Online Peer Tutoring Application in a Smart Campus
Akobe, D., Popoola, S. I., et al. · ICSSA 2019, 316–326 DOI →
Conf.
2019
Gender Disparity in Admissions into Tertiary Institutions: Empirical Evidence from Nigerian Data (2010–2015)
Oludayo, O. A., Popoola, S. I., et al. · Data in Brief, 22, 920–933 · 2019 DOI →
Elsevier
2019
Structural Characterization and Corrosion Properties of Electroless Processed NiPMnO₂ Composite Coatings
Fayomi, O., Akande, I., Popoola, A., Popoola, S. I., & Daramola, D. · Journal of Science: Advanced Materials and Devices, 4(2), 285–289 · 2019 DOI →
Elsevier
2018
2018
Optimal Model for Path Loss Predictions Using Feed-Forward Neural Networks
Popoola, S. I., Adetiba, E., Atayero, A. A., Faruk, N., & Calafate, C. T. · Cogent Engineering, 5(1), 1444345 · 2018 DOI →
T&F
2018
Outdoor Path Loss Predictions Based on Extreme Learning Machine
Popoola, S. I., Misra, S., & Atayero, A. A. · Wireless Personal Communications, 99(1), 441–460 · 2018 DOI →
Springer
2018
Path Loss Dataset for Modeling Radio Wave Propagation in Smart Campus Environment
Popoola, S. I., Atayero, A. A., Arausi, O. D., & Matthews, V. O. · Data in Brief, 17, 1062–1073 · 2018 DOI →
Elsevier
2018
Learning Analytics for Smart Campus: Data on Academic Performances of Engineering Undergraduates in Nigerian Private University
Popoola, S. I., Atayero, A. A., et al. · Data in Brief, 17, 76–94 · 2018 DOI →
Elsevier
2018
Datasets on Demographic Trends in Enrollment into Undergraduate Engineering Programs at Covenant University, Nigeria
Popoola, S. I., Atayero, A. A., et al. · Data in Brief, 18, 47–59 · 2018 DOI →
Elsevier
2018
Smart Campus: Data on Energy Consumption in an ICT-Driven University
Popoola, S. I., Atayero, A. A., et al. · Data in Brief, 16, 780–793 · 2018 DOI →
Elsevier
2018
Received Signal Strength and Local Terrain Profile Data for Radio Network Planning at GSM Frequency Bands
Popoola, S. I., Atayero, A. A., & Faruk, N. · Data in Brief, 16, 972–981 · 2018 DOI →
Elsevier
2018
Data on the Key Performance Indicators for Quality of Service of GSM Networks in Nigeria
Popoola, S. I., Atayero, A. A., Faruk, N., & Badejo, J. A. · Data in Brief, 16, 914–928 · 2018 DOI →
Elsevier
2018
Comparative Assessment of Data Obtained Using Empirical Models for Path Loss Predictions in University Campus
Popoola, S. I., Atayero, A. A., & Popoola, O. A. · Data in Brief, 18, 380–393 · 2018 DOI →
Elsevier
2018
Path Loss Predictions for Multi-Transmitter Radio Propagation in VHF Bands Using Adaptive Neuro-Fuzzy
Surajudeen-Bakinde, N. T., Faruk, N., Popoola, S. I., et al. · Engineering Science & Technology, 21(4), 679–691 · 2018 DOI →
Elsevier
2018
Exploration of Daily Internet Data Traffic Generated in a Smart University Campus
Adeyemi, O. J., Popoola, S. I., Atayero, A. A., et al. · Data in Brief, 20, 30–52 · 2018 DOI →
Elsevier
2018
Citation Analytics: CiteScores of Open Access and Subscription-Based Publications Indexed in Scopus (2014–2016)
Atayero, A. A., Popoola, S. I., et al. · Data in Brief, 19, 198–213 · 2018 DOI →
Elsevier
2018
Incidence of Cassava Mosaic Disease and Whitefly Vectors in South West and North Central Nigeria
Eni, A. O., et al., Popoola, S. I., & Atayero, A. A. · Data in Brief, 19, 370–392 · 2018 DOI →
Elsevier
2018
The Role of Gender on Academic Performance in STEM-Related Disciplines
John, T. M., Badejo, J. A., Popoola, S. I., et al. · Data in Brief, 18, 360–374 · 2018 DOI →
Elsevier
2018
Learning Analytics: Dataset for Empirical Evaluation of Entry Requirements into Engineering Undergraduate Programs
Odukoya, J. A., Popoola, S. I., et al. · Data in Brief, 17, 998–1014 · 2018 DOI →
Elsevier
2018
Smart Campus: Data on Energy Generation Costs from Distributed Generation Systems in a Nigerian University
Okeniyi, J. O., Atayero, A. A., Popoola, S. I., et al. · Data in Brief, 17, 1082–1090 · 2018 DOI →
Elsevier
2018
Modified One-Class Support Vector Machine for Content-Based Image Retrieval with Relevance Feedback
Adegbola, O. A., Aborisade, D. O., Popoola, S. I., et al. · Cogent Engineering, 5(1) · 2018 DOI →
T&F
2018
NomadicBTS: Evolving Cellular Communication Networks with Software-Defined Radio Architecture
Adetiba, E., Matthews, V. O., John, S. N., Popoola, S. I., & Abayomi, A. · Cogent Engineering, 5(1) · 2018 DOI →
T&F
2018
Data Sets Linking Ethnic Perceptions to Undergraduate Students Learning Outcomes in a Nigerian Tertiary Institution
Badejo, J. A., John, T. M., Omole, D. O., et al., Popoola, S. I., et al. · Data in Brief, 18, 760–764 · 2018 DOI →
Elsevier
2018
Performance Evaluation of Visual Descriptors for Image Indexing in Content Based Image Retrieval
Adegbola, O. A., Aborisade, D. O., Popoola, S. I., & Atayero, A. A. · ICSSA 2018, 539–549 DOI →
Conf.
2018
IoT-Enabled Alcohol Detection System for Road Transportation Safety in Smart City
Uzairue, S., et al., Popoola, S. I. · ICSSA 2018, 695–704 DOI →
Conf.
2018
Automated Detection of Heart Defects in Athletes Based on Electrocardiography and Artificial Neural Network
Adetiba, E., Iweanya, V. C., Popoola, S. I., et al. · Cogent Engineering, 4(1) · 2018 DOI →
T&F
2017
2017
Standard Propagation Model Tuning for Path Loss Predictions in Built-Up Environments
Popoola, S. I., Atayero, A. A., Faruk, N., et al. · ICSSA 2017, 363–375 DOI →
Conf.
2017
Ransomware: Current Trend, Challenges, and Research Directions
Popoola, S. I., Ojewande, S. O., et al. · WCECS 2017, San Francisco, 101–105 Scholar →
Conf.
2017
5G Radio Access Network Technologies: Research Advances
Popoola, S. I., Faruk, N., Atayero, A. A., et al. · WCECS 2017, San Francisco, 169–174 Scholar →
Conf.
2017
Integrating Automated Fingerprint-Based Attendance into a University Portal System
Badejo, J. A., Eke, C. C., Popoola, S. I., et al. · 2017 CSCI, 1016–1020 DOI →
IEEE Conf.
2017
Spatial Variability Analysis of Duty Cycle in GSM Band
Faruk, N., et al., Popoola, S. I., et al. · IEEE NIGERCON 2017, 163–166 DOI →
IEEE Conf.
2017
Adaptive Neuro-Fuzzy Model for Path Loss Prediction in the VHF Band
Salman, M. A., Popoola, S. I., et al. · 2017 ICCNI, 1–6 DOI →
IEEE Conf.
2017
Kriging Based Model for Path Loss Prediction in the VHF Band
Abdulrasheed, I., Faruk, N., et al., Popoola, S. I. · IEEE NIGERCON 2017, 173–176 DOI →
IEEE Conf.
2017
Cost-Effective Medical Robotic Telepresence Solution Using Plastic Mannequin
Matthews, V. O., Popoola, S. I., et al. · International Journal of Electrical and Computer Engineering, 7(3), 1212–1218 · 2017 DOI →
Journal
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