SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection von Kim, Tae Hoon, Krichen, Moez, Ojo, Stephen, Sampedro, Gabriel Avelino, Alamro, Meznah A

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Optimal Ensemble Learning model for Dyslexia prediction based on an adaptive genetic algorithm von Gasmi, Karim, Ammar, Lassaad Ben, Krichen, Moez, Alamro, Meznah A., Mihoub, Alaeddine, Mrabet, Manel

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A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification von Abbas, Sidra, Ojo, Stephen, Krichen, Moez, Alamro, Meznah A., Mihoub, Alaeddine, Vilcekova, Lucia

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Defending AI Models Against Adversarial Attacks in Smart Grids Using Deep Learning von Avelino Sampedro, Gabriel, Ojo, Stephen, Krichen, Moez, Alamro, Meznah A., Mihoub, Alaeddine, Karovic, Vincent

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Effective Hypertension Detection Using Predictive Feature Engineering and Deep Learning von Abbas, Sidra, Avelino Sampedro, Gabriel, Krichen, Moez, Alamro, Meznah A., Mihoub, Alaeddine, Kulhanek, Rastislav

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Employing Machine Learning for Seismic Intensity Estimation Using a Single Station for Earthquake Early Warning von Abdalzaher, Mohamed S, Soliman, M Sami, Krichen, Moez, Alamro, Meznah A, Fouda, Mostafa M

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TSSG-CNN: A Tuberculosis Semantic Segmentation-Guided Model for Detecting and Diagnosis Using the Adaptive Convolutional Neural Network von Kim, Tae Hoon, Krichen, Moez, Ojo, Stephen, Alamro, Meznah A, Sampedro, Gabriel Avelino

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TXAI-ADV: Trustworthy XAI for Defending AI Models against Adversarial Attacks in Realistic CIoT von Ojo, Stephen, Krichen, Moez, Alamro, Meznah, Mihoub, Alaeddine

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Single and Mixed Sensory Anomaly Detection in Connected and Automated Vehicle Sensor Networks von Kim, Tae Hoon, Ojo, Stephen, Krichen, Moez, Alamro, Meznah A.

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Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection von Kim, Tae hoon, Krichen, Moez, Alamro, Meznah A., Mihoub, Alaeddine, Avelino Sampedro, Gabriel, Abbas, Sidra

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A Novel Dataset and Approach for Adversarial Attack Detection in Connected and Automated Vehicles von Kim, Tae Hoon, Krichen, Moez, Alamro, Meznah A., Sampedro, Gabreil Avelino

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Optimized automated blood cells analysis using Enhanced Greywolf Optimization with integrated attention mechanism and YOLOv5 von Shahin, Osama R., Gasmi, Karim, Krichen, Moez, Alamro, Meznah A., Mihoub, Alaeddine, Ben Ammar, Lassaad, Tawashi, Mohammed Abdullah

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Robustness and Unpredictability for Double Arbiter PUFs on Silicon Data: Performance Evaluation and Modeling Accuracy von Alamro, Meznah A., Mursi, Khalid T., Zhuang, Yu, Aseeri, Ahmad O., Alkatheiri, Mohammed Saeed

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Improving Multiple Sclerosis Disease Prediction Using Hybrid Deep Learning Model von Ojo, Stephen, Krichen, Moez, Alamro, Meznah A., Mihoub, Alaeddine, Sampedro, Gabriel Avelino, Kniezova, Jaroslava

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Robustness and unpredictability for double arbiter pufs on silicon data: Performance evaluation and modeling accuracy von Alamro, Meznah A. (TTU), Mursi, Khalid T. (TTU), Zhuang, Yu (TTU), Aseeri, Ahmad O, Alkatheiri, Mohammed Saeed

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Adaptation of Federated Explainable Artificial Intelligence for Efficient and Secure E-Healthcare Systems von Abid, Rabia, Rizwan, Muhammad, Alabdulatif, Abdulatif, Alnajim, Abdullah, Alamro, Meznah, Azrour, Mourade

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On the trade-offs between the security and PUFs properties of delay-based PUFs von Alamro, Meznah Abdullah

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