| Title | Author | Publication Date | Department | Type |
| Recognizing Stereotyped Behavior in Children with Autism
| Faraj, Ranim Haisam | 2020 | Computing | Professional Masters Project |
| Generative Adversarial Networks Based Reconstruction and Restoration of Cultural Heritage
| Jboor, Nesreen Hamadallah | 2019 | Computing | Master Thesis |
| Novel Techniques for Blockchain-enabled IoT Systems Leveraging Reinforcement Learning
| Mhaisen, Naram Sultan | 2020 | Computing | Master Thesis |
| Rail Robot for Rail Track Inspection
| AlNaimi, Noora Rashid | 2020 | Computing | Master Thesis |
| Ensuring Quality of Service in Blockchain-Based Healthcare System
| Shalaby, Salma T. | 2020 | Computing | Master Thesis |
| Diabetic Reinopathy Classification using Deep Learning
| Sheikh, Sarah Obaid | 2020 | Computing | Master Thesis |
| Staticand Dynamic Facial Emotion Recognition Using Neural Network Models
| Hussein, Ealaf Sayed Ahmed | 2020 | Computing | Master Thesis |
| A Deep Learning Based Approach To Detect Covert Channels Attacks and Anomaly In New Generation Internet Protocol IPv6
| AlSenaid, Felwa Rashid | 2020 | Computing | Master Thesis |
| Multi-Connectivity Management and Orchestration Architecture Integrated With 5g Multi Radio Access Technology Network
| Alqahtani, Abdulhadi Jaralla | 2020 | Computing | Professional Masters Project |
| DDoS: DeepDefence and Machine Learning for identifying attacks
| Bhati, Akhilesh | 2020 | Computing | Master Thesis |
| SparkIR: a Scalable Distributed Information Retrieval Engine over Spark
| Al-Rasbi, Sara Yaqoob | 2020 | Computing | Master Thesis |
| Differential Architecture Search in Deep Learning for DNA Splice Site Classification
| Moosa, Shabir | 2019 | Computing | Master Thesis |
| Neuropathy Classification of Corneal Nerve Images Using Artificial Intelligence
| Salahuddin, Tooba | 2019 | Computing | Master Thesis |
| Application of Machine Learning Techniques for The Prediction of Decompressive Hemicraniectomy Prognosis in Acute Ischemic Stroke
| Ali, Rahma Saleh | 2019 | Computing | Master Thesis |
| Time-Aware Workload Charactrization And Prediction For Proactive Auto-Scaling Of Web Applications
| Aboueata, Nada Mahmoud | 2019 | Computing | Master Thesis |
| IOTA Viability In Healthcare Industry
| Alshaikhli, Mays Mohammed | 2019 | Computing | Master Thesis |
| QoE-Aware Resource Allocation For Crowdsourced Live Streaming: A Machine Learning Approach
| Haouari, Fatima | 2019 | Computing | Master Thesis |
| Optimal Resource Allocation Using Deep Learning-Based Adaptive Compression For Mhealth Applications
| Al-Marridi, Abeer Ziad | 2018 | Computing | Master Thesis |
| STOCK MARKET FORECASTING: AN APPLICATION OF LONG SHORT TERM MEMORY (LSTM) RECURRENT NEURAL NETWORK
| YASSIN, HISHAM | 2018 | Computing | Professional Masters Project |
| QUEUEING THEORY BASED KUBERNETES AUTOSCALER
| KADOURA, KHALED NABIL | 2018 | Computing | Professional Masters Project |
RSS 1.0