Adebayo Abayomi-Alli
Orcid: 0000-0002-3875-1606
According to our database1,
Adebayo Abayomi-Alli
authored at least 23 papers
between 2013 and 2024.
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Bibliography
2024
Multim. Tools Appl., January, 2024
2023
SCLAVOEM: hyper parameter optimization approach to predictive modelling of COVID-19 infodemic tweets using smote and classifier vote ensemble.
Soft Comput., March, 2023
Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study.
IEEE Trans. Engineering Management, 2023
A Systematic Literature Review on Human Ear Biometrics: Approaches, Algorithms, and Trend in the Last Decade.
Inf., 2023
2022
Large Dataset of Nigeria Covid-19 Tweets for Sentiment Analysis and Opinion Mining Tasks.
Dataset, August, 2022
Study of the Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms.
Inf., 2022
Hybrid Model of Genetic Algorithms and Tabu Search Memory for Nurse Scheduling Systems.
Int. J. Serv. Sci. Manag. Eng. Technol., 2022
A deep learning method for automatic SMS spam classification: Performance of learning algorithms on indigenous dataset.
Concurr. Comput. Pract. Exp., 2022
2021
Int. J. Semantic Web Inf. Syst., 2021
Expert Syst. Appl., 2021
Malignant skin melanoma detection using image augmentation by oversampling in nonlinear lower-dimensional embedding manifold.
Turkish J. Electr. Eng. Comput. Sci., 2021
2020
SN Comput. Sci., 2020
Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection.
Inf. Secur. J. A Glob. Perspect., 2020
A survey and meta-analysis of application-layer distributed denial-of-service attack.
Int. J. Commun. Syst., 2020
Harnessing the Potentials of Mobile Phone for Adoption and Promotion of Organic Farming Practices in Nigeria.
Proceedings of the Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation, 2020
A Conceptual Hybrid Model of Deep Convolutional Neural Network (DCNN) and Long Short-Term Memory (LSTM) for Masquerade Attack Detection.
Proceedings of the Information and Communication Technology and Applications, 2020
A Hybrid Machine Learning Model for Predicting Customer Churn in the Telecommunication Industry.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2020
Proceedings of the Responsible Design, Implementation and Use of Information and Communication Technology, 2020
BiLSTM with Data Augmentation using Interpolation Methods to Improve Early Detection of Parkinson Disease.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020
2019
A review of soft techniques for SMS spam classification: Methods, approaches and applications.
Eng. Appl. Artif. Intell., 2019
Long Short-Term Memory Model for Time Series Prediction and Forecast of Solar Radiation and other Weather Parameters.
Proceedings of the 19th International Conference on Computational Science and Its Applications, 2019
Multi-class Classification of Impulse and Non-impulse Sounds Using Deep Convolutional Neural Network (DCNN).
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019
2013
An Investigation of the Incidences of Repetitive Strain Injury among computer Users in Nigeria.
CoRR, 2013