MA
Manel AYADI
Princess Nourah bint Abdulrahman University
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · AI in cancer detection · Network Security and Intrusion Detection
0000-0001-6786-5365
Employment
-
Princess Nourah bint Abdulrahman University Associate Professor2018 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- R-SATNet: Robust Self-Attention Transformer Network for Multi-Step Building Load Forecasting in Smart Energy Systems Save
- Aegis-5: A Hybrid Ensemble Framework for Intrusion Detection in Industry 5.0 Driven Smart Manufacturing Environment Save
- Designing a Novel CNN–LSTM-based Model for Arabic Handwritten Character Recognition for the Visually Impaired Person Save
- Empowering Accessibility in Handwritten Arabic Text Recognition for Visually Impaired Individuals through Optimized Generative Adversarial Network (GAN) model Save
- A Novel Channel Estimation Framework in MIMO Using Serial Cascaded Multiscale Autoencoder and Attention LSTM with Hybrid Heuristic Algorithm Save
- Acoustic Wave Reflection in Water Affects Underwater Wireless Sensor Networks Save
- Leveraging Software-Defined Networking for a QoS-Aware Mobility Architecture for Named Data Networking Save
- An Ensemble of Transfer Learning Models for the Prediction of Skin Lesions with Conditional Generative Adversarial Networks Save
- Secure and Fast Emergency Road Healthcare Service Based on Blockchain Technology for Smart Cities Save
- Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks Save
- A Proposed Framework for Early Prediction of Schistosomiasis Save
- An Ensemble of Transfer Learning Models for the Prediction of Skin Cancers with Conditional Generative Adversarial Networks Save
- Anomaly Detection in Fog Computing Architectures Using Custom Tab Transformer for Internet of Things Save
- COVID-AleXception: A Deep Learning Model Based on a Deep Feature Concatenation Approach for the Detection of COVID-19 from Chest X-ray Images Save
- Detecting the Presence of Malware and Identifying the Type of Cyber Attack Using Deep Learning and VGG-16 Techniques Save
- Machine-Learning-Based COVID-19 Detection with Enhanced cGAN Technique Using X-ray Images Save
- MobiRes-Net: A Hybrid Deep Learning Model for Detecting and Classifying Olive Leaf Diseases Save
- Multi-Attribute Selection Procedures Based on Regret and Rejoice for the Decision-Maker Save
- SEMRAchain: A Secure Electronic Medical Record Based on Blockchain Technology Save