Ahmad O. Aseeri
Orcid: 0000-0001-9863-4551
According to our database1,
Ahmad O. Aseeri
authored at least 23 papers
between 2017 and 2024.
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Bibliography
2024
Fractional-order modified heterogeneous comprehensive learning particle swarm optimizer for intelligent disease detection in IoMT environment.
Swarm Evol. Comput., February, 2024
2023
Optimizing fake news detection for Arabic context: A multitask learning approach with transformers and an enhanced Nutcracker Optimization Algorithm.
Knowl. Based Syst., November, 2023
An Efficient Artificial Rabbits Optimization Based on Mutation Strategy For Skin Cancer Prediction.
Comput. Biol. Medicine, September, 2023
A Problem-tailored Adversarial Deep Neural Network-Based Attack Model for Feed-Forward Physical Unclonable Functions.
ACM Trans. Design Autom. Electr. Syst., July, 2023
Effective RNN-Based Forecasting Methodology Design for Improving Short-Term Power Load Forecasts: Application to Large-Scale Power-Grid Time Series.
J. Comput. Sci., April, 2023
Effective short-term forecasts of Saudi stock price trends using technical indicators and large-scale multivariate time series.
PeerJ Comput. Sci., 2023
Vision Transformer Model for Predicting the Severity of Diabetic Retinopathy in Fundus Photography-Based Retina Images.
IEEE Access, 2023
Boosted Barnacles Algorithm Optimizer: Comprehensive Analysis for Social IoT Applications.
IEEE Access, 2023
IEEE Access, 2023
2022
A New Security Boundary of Component Differentially Challenged XOR PUFs Against Machine Learning Modeling Attacks.
CoRR, 2022
2021
Uncertainty-Aware Deep Learning-Based Cardiac Arrhythmias Classification Model of Electrocardiogram Signals.
Comput., 2021
2020
Noise-Resilient Neural Network-Based Adversarial Attack Modeling for XOR Physical Unclonable Functions.
J. Cyber Secur. Mobil., 2020
Does Sophisticating Double Arbiter PUF Design Ensure its Security? Performance and Security Assessments on 5-1 DAPUF.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Extensive Examination of XOR Arbiter PUFs as Security Primitives for Resource-Constrained IoT Devices.
Proceedings of the 17th International Conference on Privacy, Security and Trust, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
A machine learning-based security vulnerability study of XOR Arbiter PUFs for resource-constraints internet of things.
PhD thesis, 2018
A Machine Learning-Based Security Vulnerability Study on XOR PUFs for Resource-Constraint Internet of Things.
Proceedings of the 2018 IEEE International Congress on Internet of Things, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
A Subspace Pre-learning Approach to Fast High-Accuracy Machine Learning of Large XOR PUFs with Component-Differential Challenges.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017