Now showing items 1-12 of 12

    • Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities 

      Ramesh, Jayroop (2022-08)
      Sleep apnoea (SA) is a chronic sleep related breathing disorder characterized by partial or complete airway obstruction, known as Obstructive Sleep Apnoea (OSA), or when the brain does not communicate the proper signals ...
    • FPGA-Based Network Traffic Classification Using Machine Learning 

      Elnawawy, Mohammed (2019-11)
      Traffic classification is the process of associating network traffic with the application or group of applications that generated it. It is an essential part of network management at datacentres and network operators due ...
    • FPGA-based Parallel Hardware Architecture for Real-time Object Classification 

      Qasaimeh, Murad Mohammad (2014-06)
      Object detection is one of the most important tasks in computer vision. It has multiple applications in many different fields such as face detection, video surveillance and traffic sign recognition. Most of these applications ...
    • A Framework for Screening and Classifying Obstructive Sleep Apnea Using Smartphones 

      Al-Mardini, Mamoun (2013-06)
      Obstructive sleep apnea (OSA) is a serious sleep disorder which is characterized by frequent obstruction of the upper airway, often resulting in oxygen desaturation. The serious negative impact of OSA on human health makes ...
    • Fuzzy Logic Based Patients' Monitoring System 

      Al-Dmour, Jumana (2013-01)
      The ever increasing health care costs are becoming a major concern to both, individuals and authorities. This has tempted researchers to seek alternative models to the traditional and costly hospital-based monitoring and ...
    • A Machine Learning Approach to Predicting Diabetes Complications 

      Jian, Yazan Khaled (2021-12)
      Machine learning and data mining techniques have been widely used over the years to extract knowledge from data. The goal of this thesis is to study several diabetes complications. Diabetes Mellitus (DM) is a chronic disease ...
    • MANET Cluster Optimization Using ILP/SAT Techniques 

      Zahidi, Syed Zohaib Hussain (2012-01)
      In recent years, there have been several improvements in the performance of Integer Linear Programming (ILP) and Boolean Satisfiability (SAT) solvers. These improvements have encouraged the modeling of complex engineering ...
    • A mobile Based Platform for Monitoring Respiratory Diseases 

      Zubaydi, Fatma Khalil (2016-09)
      Chronic respiratory diseases are diseases of the airways and other structures of the lung, usually resulting in difficulty in breathing and other symptoms. Chronic obstructive pulmonary disease (COPD) and Asthma are ...
    • Modeling Smartphone Power 

      Alawnah, Sameer Allan (2013-06)
      Battery technology has not advanced rapidly enough to keep pace with the growing energy demands of today's portable electronics. Leading this critical need for energy are smartphone devices which are being deployed and ...
    • Optimization of Energy Consumption in Cloud Computing Datacenters 

      Osman, Ahmed Osman (2018-06)
      In recent years, cloud computing has emerged as a practical paradigm for providing IT resources, infrastructure and services. This has led to the establishment of large scale datacenters that have substantial energy demands ...
    • Predicting COVID-19 in the UAE Using Machine Learning 

      Sankalpa, Donthi (2022-08)
      As of 17th August 2022, the United Arab Emirates (UAE) have recorded over 1 million Covid-19 cases since the start of the pandemic with over 2000 deaths and the numbers are still increasing. To combat Covid-19, UAE has ...
    • Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters 

      Farhan, Abid (2021-04)
      Cloud service providers are consistently leveraging their computing infrastructures by adding reconfigurable hardware platforms such as field-programmable gate arrays (FPGAs) to their existing infrastructures. Adding FPGAs ...