Federated deep learning for zero-day botnet attack detection in IoT-edge devices SI Popoola, R Ande, B Adebisi, G Gui, M Hammoudeh, O Jogunola IEEE Internet of Things Journal 9 (5), 3930-3944, 2021 | 212 | 2021 |
Hybrid Deep Learning for Botnet Attack Detection in the Internet of Things Networks SI Popoola, B Adebisi, M Hammoudeh, G Gui, H Gacanin IEEE Internet of Things Journal 8 (6), 4944-4956, 2021 | 174 | 2021 |
Determination of neural network parameters for path loss prediction in very high frequency wireless channel SI Popoola, A Jefia, AA Atayero, O Kingsley, N Faruk, OF Oseni, ... IEEE access 7, 150462-150483, 2019 | 110 | 2019 |
Optimal model for path loss predictions using feed-forward neural networks SI Popoola, E Adetiba, AA Atayero, N Faruk, CT Calafate Cogent Engineering 5 (1), 1444345, 2018 | 97 | 2018 |
smote-drnn: A deep learning algorithm for botnet detection in the internet-of-things networks SI Popoola, B Adebisi, R Ande, M Hammoudeh, K Anoh, AA Atayero Sensors 21 (9), 2985, 2021 | 89 | 2021 |
Modeling pseudo-second-order kinetics of orange peel-paracetamol adsorption process using artificial neural network IC Afolabi, SI Popoola, OS Bello Chemometrics and Intelligent Laboratory Systems 203, 104053, 2020 | 81 | 2020 |
Learning analytics for smart campus: data on academic performances of engineering undergraduates in Nigerian private university SI Popoola, AA Atayero, JA Badejo, TM John, JA Odukoya, DO Omole Data in brief 17, 76-94, 2018 | 81 | 2018 |
Path loss predictions in the VHF and UHF bands within urban environments: Experimental investigation of empirical, heuristics and geospatial models N Faruk, SI Popoola, NT Surajudeen-Bakinde, AA Oloyede, A Abdulkarim, ... IEEE access 7, 77293-77307, 2019 | 74 | 2019 |
Empirical path loss models for GSM network deployment in Makurdi, Nigeria SI Popoola, OF Oseni International Refereed Journal of Engineering and Science 3 (6), 85-94, 2014 | 61 | 2014 |
Path loss predictions for multi-transmitter radio propagation in VHF bands using Adaptive Neuro-Fuzzy Inference System NT Surajudeen-Bakinde, N Faruk, SI Popoola, MA Salman, AA Oloyede, ... Engineering Science and Technology, an International Journal 21 (4), 679-691, 2018 | 55 | 2018 |
Outdoor Path Loss Predictions Based on Extreme Learning Machine SI Popoola, S Misra, AA Atayero Wireless Personal Communications, 1-20, 2017 | 55 | 2017 |
Towards a more efficient and cost-sensitive extreme learning machine: A state-of-the-art review of recent trend PA Alaba, SI Popoola, L Olatomiwa, MB Akanle, OS Ohunakin, E Adetiba, ... Neurocomputing 350, 70-90, 2019 | 54 | 2019 |
Smart Campus: Data on Energy Consumption in an ICT-Driven University SI Popoola, AA Atayero, TT Okanlawon, BI Omopariola, OA Takpor Data in brief 16 (C), 780-793, 2018 | 53 | 2018 |
Machine learning approach for prediction of paracetamol adsorption efficiency on chemically modified orange peel IC Afolabi, SI Popoola, OS Bello Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 243, 118769, 2020 | 51 | 2020 |
A survey on deep learning for steering angle prediction in autonomous vehicles UM Gidado, H Chiroma, N Aljojo, S Abubakar, SI Popoola, MA Al-Garadi IEEE Access 8, 163797-163817, 2020 | 50 | 2020 |
Standard propagation model tuning for path loss predictions in built-up environments SI Popoola, AA Atayero, N Faruk, CT Calafate, LA Olawoyin, VO Matthews Computational Science and Its Applications–ICCSA 2017: 17th International …, 2017 | 44 | 2017 |
Path loss dataset for modeling radio wave propagation in smart campus environment SI Popoola, AA Atayero, OD Arausi, VO Matthews Data in brief 17, 1062-1073, 2018 | 42 | 2018 |
Exploration of daily Internet data traffic generated in a smart university campus OJ Adeyemi, SI Popoola, AA Atayero, DG Afolayan, M Ariyo, E Adetiba Data in brief 20, 30-52, 2018 | 40 | 2018 |
Received Signal Strength and Local Terrain Profile Data for Radio Network Planning and Optimization at GSM Frequency Bands SI Popoola, AA Atayero, N Faruk Data in Brief 16 (C), 972-981, 2018 | 40 | 2018 |
Calibrating the standard path loss model for urban environments using field measurements and geospatial data SI Popoola, AA Atayero, N Faruk, CT Calafate, E Adetiba, VO Matthews Lecture Notes in Engineering and Computer Science: Proceedings of The World …, 2017 | 40 | 2017 |