Kayode Yakub Saheed
Orcid: 0000-0002-0804-0707Affiliations:
- American University of Nigeria, Yola, Nigeria
According to our database1,
Kayode Yakub Saheed
authored at least 19 papers
between 2017 and 2025.
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Bibliography
2025
XIDINTFL-VAE: XGBoost-based intrusion detection of imbalance network traffic via class-wise focal loss variational autoencoder.
J. Supercomput., January, 2025
2024
A voting gray wolf optimizer-based ensemble learning models for intrusion detection in the Internet of Things.
Int. J. Inf. Sec., June, 2024
Feature selection in intrusion detection systems: a new hybrid fusion of Bat algorithm and Residue Number System.
J. Inf. Telecommun., April, 2024
Towards an efficient model for network intrusion detection system (IDS): systematic literature review.
Wirel. Networks, January, 2024
ResNet50-1D-CNN: A new lightweight resNet50-One-dimensional convolution neural network transfer learning-based approach for improved intrusion detection in cyber-physical systems.
Int. J. Crit. Infrastructure Prot., 2024
Modified bi-directional long short-term memory and hyperparameter tuning of supervised machine learning models for cardiovascular heart disease prediction in mobile cloud environment.
Biomed. Signal Process. Control., 2024
Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities.
Appl. Soft Comput., 2024
2023
Int. J. Inf. Sec., October, 2023
An Effective Intrusion Detection in Mobile Ad-hoc Network Using Deep Belief Networks and Long Short-Term Memory.
Int. J. Interact. Mob. Technol., October, 2023
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression.
Artif. Intell. Medicine, September, 2023
A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures.
J. King Saud Univ. Comput. Inf. Sci., May, 2023
Microarray Gene Expression Data Classification via Wilcoxon Sign Rank Sum and Novel Grey Wolf Optimized Ensemble Learning Models.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A novel hybrid autoencoder and modified particle swarm optimization feature selection for intrusion detection in the internet of things network.
Frontiers Comput. Sci., 2023
Autoencoder via DCNN and LSTM Models for Intrusion Detection in Industrial Control Systems of Critical Infrastructures.
Proceedings of the 4th IEEE/ACM International Workshop on Engineering and Cybersecurity of Critical System, 2023
2021
Efficient Cyber Attack Detection on the Internet of Medical Things-Smart Environment Based on Deep Recurrent Neural Network and Machine Learning Algorithms.
IEEE Access, 2021
A Hybrid Metaheuristic Algorithm for Features Dimensionality Reduction in Network Intrusion Detection System.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product.
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021
2020
Int. J. Commun. Networks Inf. Secur., 2020
2017
A Comparative Analysis of Feature Extraction Methods for Classifying Colon Cancer Microarray Data.
EAI Endorsed Trans. Scalable Inf. Syst., 2017