Ijaz Ahmad
Orcid: 0000-0003-3974-2207
According to our database1,
Ijaz Ahmad
authored at least 14 papers
between 2020 and 2025.
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Bibliography
2025
DCSENets: Interpretable deep learning for patient-independent seizure classification using enhanced EEG-based spectrogram visualization.
Comput. Biol. Medicine, 2025
2024
Robust Epileptic Seizure Detection Based on Biomedical Signals Using an Advanced Multi-View Deep Feature Learning Approach.
IEEE J. Biomed. Health Informatics, October, 2024
Multi-Feature Fusion-Based Convolutional Neural Networks for EEG Epileptic Seizure Prediction in Consumer Internet of Things.
IEEE Trans. Consumer Electron., August, 2024
A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals.
IEEE J. Biomed. Health Informatics, June, 2024
An efficient feature selection and explainable classification method for EEG-based epileptic seizure detection.
J. Inf. Secur. Appl., February, 2024
Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions.
Future Gener. Comput. Syst., 2024
Feature Fusion of Gramian Angular Field Deep Learning EEG-Based Epileptic Seizure Classification.
Proceedings of the 17th International Convention on Rehabilitation Engineering and Assistive Technology, 2024
An Intelligent and Interpretable Intrusion Detection System for Unmanned Aerial Vehicles.
Proceedings of the IEEE International Conference on Communications, 2024
An Attention-Based Hybrid Deep Learning Approach for Patient-Specific, Cross-Patient, and Patient-Independent Seizure Detection.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Adaptive Stepwise Feature Selection Approach for EEG-Based Epileptic Seizure Classification.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Latency Localization of Auditory Brainstem Response by Different Deep Learning Methods.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023
2022
An Efficient Approach for Crops Pests Recognition and Classification Based on Novel DeepPestNet Deep Learning Model.
IEEE Access, 2022
2021
A Hybrid Deep Learning-Driven SDN Enabled Mechanism for Secure Communication in Internet of Things (IoT).
Sensors, 2021
2020
A Blockchain-Based Secure Data Storage and Trading Model for Wireless Sensor Networks.
Proceedings of the Advanced Information Networking and Applications, 2020